Latest updates from the AI industry
The global real estate software market size was valued at USD 12.8 billion in 2025 and is projected to grow from USD 14.3 billion in 2026 to USD 32.0 billion by 2033, at a CAGR of 12.2% from 2026 to 2033. This growth is attributed to the convenience it brings to the table. However, when software is outdated it’s less likely to bring that level [...] The post Real Estate Software Modernization: A Guide to Modernizing Legacy Property Systems appeared first on MindInventory .
Earnings call transcript: Stanmore Resources posts strong Q2 2026 rebound
Earnings call transcript: Stanmore Resources posts strong Q2 2026 rebound
Earnings call transcript: Stanmore Resources posts strong Q2 2026 rebound
Earnings call transcript: Stanmore Resources posts strong Q2 2026 rebound
Vadzo's Bolt-1335CRO is a 13MP AR1335 OIS MIPI Camera built on the onsemi AR1335 sensor delivering optical image stabilization and voice coil motor autofocus in a rolling shutter MIPI CSI-2 module for embedded AI, robotics, UAV, drone and aerial inspection platforms where vibration resistant capture and low latency MIPI delivery are simultaneous design requirements. As a compact AR1335 4K MIPI Camera, it brings lens level stabilization and continuous focus tracking to board level embedded
Canva on Tuesday launched Canva Code 2.0 , a major upgrade to its AI-powered coding tool that lets users build interactive websites, apps, and experiences using plain-language prompts — and then edit the results as easily as tweaking a Canva presentation. The feature is now available to all of the company's more than 265 million monthly users across every pricing tier, including free accounts. The move is Canva's most aggressive push yet into the fast-growing "vibe coding" market, a category that barely existed 18 months ago but has already minted billion-dollar startups and reshaped how non-developers think about building software. But where rivals like Lovable , Replit , and Bolt.new have focused primarily on generating functional code from text prompts, Canva is making a different bet: that the real bottleneck isn't creating the code — it's making the output actually look good. "Most vibe coding tools stop at functional — generating output that looks the same as everyone else's," Canva states in its announcement. "You might get a working prototype, but making it actually look like yours requires a complex editing surface, a separate design tool, a developer, or endless back-and-forth prompting that rarely lands where you want it.” Danny Wu, Canva's Head of AI Products, framed the product's positioning in stark terms during an exclusive interview with VentureBeat ahead of the launch. "We are deliberately targeting non-technical users," Wu said. "Canva Code isn't a tool we're building for developers. What we're trying to do is bring the power of AI coding — and really lightweight coding — into the Canva platform, while answering our users' requests for more interactivity, more customization, and more flexibility, from websites to interactive presentations." Canva Code 2.0 brings drag-and-drop editing, HTML import, and 75% faster generation to AI-built websites The update introduces several capabilities designed to collapse the distance between generating code and publishing a polished interactive experience. Users can now create Canva Code projects directly inside other design projects — embedding interactive elements within a whiteboard, presentation deck, or standalone page. Canva has also added more than 50 new templates specifically designed for interactive designs, along with the ability to import raw HTML files from other AI coding tools and convert them into editable Canva designs. The performance improvements are significant. Canva says it has reduced average code generation time by 75 percent and cut the median time from initial prompt to a published site by 30 percent. The company also reports that integrating Canva Code into the broader Canva editor — allowing users to treat coded outputs like any other design element — has increased active Code users by 25 percent. Perhaps the most distinctive feature is the editing experience itself. Unlike most AI coding platforms, which require users to re-prompt or modify raw code to make visual changes, Canva Code 2.0 lets users click directly into generated elements to change text, drag and drop images from Canva's built-in library of over 120 million templates and assets, update colors and fonts through a familiar toolbar, or select a specific element and refine it through conversational AI. Every output is fully interactive and automatically adapts to different screen sizes, with a built-in mobile preview. Wu demonstrated the drag-and-drop editing during the interview, showing how a generated conference website could be modified in real time — swapping in photos, changing fonts to branded alternatives, and editing text directly on the canvas. "The key differentiator with Canva Code is the editability and the kindness of the outputs it generates," he said, though he noted one current limitation: "We don't support moving elements around. You still have to re-prompt for that." How Canva plans to compete with Lovable, Replit, and Bolt in the booming AI app builder market Canva's entry into vibe coding at this scale arrives at a pivotal moment for the category. According to market research published by Luminix AI in May 2026 , the vibe coding and AI app builder market has reached an estimated $4.7 billion in 2026, with projections pointing toward $12.3 billion by 2027 at roughly 38 percent compound annual growth. The research also estimates that AI-generated code now comprises approximately 41 percent of all code written globally — a figure that would have seemed inconceivable even two years ago. The competitive landscape has grown ferocious. Lovable , which focuses on conversational, design-forward app generation for non-technical founders, has achieved what may be the fastest revenue ramp in the category's history — reportedly reaching approximately $400 million in annual recurring revenue by early 2026, according to Luminix's analysis. Replit , which transformed its browser-based IDE into a full vibe-coding engine through successive AI agent releases, has tripled its valuation to $9 billion and is targeting $1 billion in run-rate revenue by the end of 2026, per the same report. Bolt.new , which runs a full Node.js environment entirely in the browser, scaled from $4 million to $40 million in ARR within months of launching. And then there is Canva, which brings something none of those platforms possess: a quarter-billion-user design ecosystem where brands, teams, and individuals already store their visual identities, collaborate on projects, and publish content. Wu positioned Canva Code not as a direct competitor to these developer-focused tools but as something that fills a gap none of them have addressed. "A lot of the requests that we have been getting and the usage we're seeing is actually with using Canva Code not necessarily as just one artifact, but as part of an overall design, the visual communication they're trying to tell," Wu said. "Like when you have a sales deck, you're able to add a calculator, you're able to add a visualizer of what exactly your product does. That's something where an interactive slide can be worth a thousand pictures." Why Canva's HTML import feature could turn it into a 'finishing layer' for every AI coding tool One of the most strategically interesting features in Canva Code 2.0 is its HTML import capability, which allows users to take code generated by any AI tool — including ChatGPT , Claude , Lovable , or Bolt — and bring it into Canva as a fully editable design. The implication is unmistakable: Canva is positioning itself as the place where AI-generated code gets its finishing touches, regardless of where it was originally created. When asked directly whether this amounts to positioning Canva as a "finishing layer on top of vibe coding," Wu offered a diplomatic but revealing response. "It's really a continuation of our goal to make all design as easy as possible," he said. "We've supported importing PDFs and translating them into docs, importing PowerPoint files — so in one way, it's an expansion of that. But in another way, it's really just listening to what our users want and making Canva both the most useful and the most compatible platform.” He paused, then added: "It's not that we're deliberately positioning ourselves as a specific layer, say like a finishing layer after vibe coding. We just really want to make our platform the most accessible and the most pluggable." That language — "most pluggable" — suggests a platform strategy that doesn't require Canva to win the AI code generation race outright. If Canva becomes the default destination for making AI-generated code look professional and on-brand, it captures value from the entire category regardless of which code generation engine users prefer. The strategy also echoes the broader import capabilities that already allow Canva to ingest PowerPoint decks and PDFs from competing platforms, gradually pulling users deeper into the Canva ecosystem without demanding they abandon existing workflows. What Canva Code can build — and where Danny Wu says it hits its limits Wu was notably candid about the product's boundaries — a refreshing departure from the typical Silicon Valley product launch. "Canva Code is great for anything that works as a front-end app, and it's especially good when you want to leverage data, data submissions, and interactivity at small to medium scale," he said. "I'll be honest about the limitations. Canva Code is probably not going to be suitable if you're trying to build a website with complex backends, or if you're handling hundreds of thousands of visitors per day." This candor effectively draws a line between Canva Code and the more ambitious platforms in the space. While Lovable and Replit are pushing toward full-stack application development — complete with databases, authentication, and production-grade hosting — Canva is deliberately limiting its scope to interactive front-end experiences at modest scale. The question is whether that's a strategic weakness or a disciplined focus. For the teachers, small business owners, and marketing teams that make up the bulk of Canva's user base, complex backends and high-traffic scalability are irrelevant concerns. What matters is whether they can create an interactive event page, a property listing website, or a classroom hub that looks professional and works on mobile — without hiring a developer or learning a new tool. When asked about the AI models powering Canva Code , Wu confirmed the company uses a combination of proprietary and third-party models, including those from OpenAI and Anthropic, but declined to specify the exact mix. "We don't share the exact mix, and it does change over time," he said. "We also route differently depending on what you're asking for and which model family we think is best for handling certain requests." Canva's AI acquisition spree — from Affinity to Leonardo.ai — now powers its vibe coding push Canva's broader AI infrastructure has been significantly bolstered by an acquisition strategy that has accelerated over the past two years. In March 2024, the company acquired Affinity , the British creative software suite popular with Mac users, in a deal that Bloomberg reported was valued at " several hundred million pounds ." Canva at the time positioned the deal as a way to compete with Adobe's flagship products — Illustrator, Photoshop, and InDesign — by gaining ownership of Affinity's Designer, Photo, and Publisher applications. Just four months later, Canva acquired Leonardo.ai , an Australian generative AI startup with over 19 million registered users and more than a billion images generated. Canva co-founder Cameron Adams said at the time that Leonardo.ai's technology would be integrated into Canva's Magic Studio generative AI suite. Together with these acquisitions, Canva Code is the company's attempt to layer interactive, code-driven capabilities on top of a visual design platform that has already been enhanced by professional-grade design tools and generative AI models. The company reports over 32 billion uses of its AI products to date — a staggering figure that underscores how deeply AI is now woven into everyday Canva workflows, even for users who may not think of themselves as using artificial intelligence. Six million sites published, but Canva's retention data remains an open question Canva's announcement highlights an impressive traction metric: users have created and published more than six million websites using Canva Code since the feature was first introduced a year ago. But the number deserves scrutiny. Wu clarified in the interview that the six million figure represents published websites over the past year — meaning sites that were either made public or shared via password-protected or private links. "They may have published publicly, or behind a password, or as a private link. But that's the number of published websites," he said. When asked about active retention — how many of those sites are still live and being maintained — Wu acknowledged the gap in his data. This is a meaningful distinction. In the vibe coding market, raw creation numbers can be misleading because the barrier to generating a site is so low. The more telling metric — which Canva does not yet provide — would be how many of those six million sites receive regular traffic or have been updated after initial publication. The early use cases, however, suggest genuine utility beyond novelty. Educators and school administrators are using Canva Code to build classroom hubs, with one teacher creating bespoke webpages for each of their classrooms to keep students and parents updated on announcements. Small businesses, like Alt Marketing School, have built mini apps for fundraising training and interactive roadmaps for their members. For World Book Day, 50 readers created educational games across different subjects, complete with pedagogical guides for classroom use. Canva Code pricing, data governance, and what enterprise customers need to know Canva Code 2.0 is available across all of Canva's pricing tiers, including its free plan — a notable decision given that competitors like Lovable, Bolt, and Replit reserve their most capable features for paid subscribers. "As you go from, say, free to pro to business to enterprise, you would get more AI credits and be able to have higher usage of Canva Code," Wu said. "But it is available and it is usable — even free Canva accounts as well as education and not-for-profit accounts." This credit-based approach mirrors the pricing evolution happening across the entire vibe coding category, where platforms have converged on token or credit systems that meter AI generation capacity rather than gating features behind subscription tiers. The difference is that Canva's free tier serves as an acquisition funnel for a much larger design platform, not just for the coding feature itself. For the institutional customers Canva increasingly courts — school districts, real estate brokerages, enterprise marketing teams — data governance is a threshold concern. Wu addressed this directly. "All users and customers have full control over how their data is used," he said. "They can choose whether their prompts and data are used for AI training in the settings. For businesses and enterprises, team admins can manage this at the organizational level and guarantee that their inputs, content, and outputs won't be used for training." This opt-out approach reflects a lesson the broader industry has learned the hard way. As The Verge reported when Canva acquired Leonardo.ai, Adobe suffered significant backlash over a policy update regarding user data and AI model training — a controversy Canva appears keen to avoid. Canva's long-term vision: closing the gap between imagination and what non-technical users can actually build When asked where Canva Code fits into the company's long-term trajectory — and whether Canva is building toward a full-stack app development platform — Wu steered the conversation back to the company's core audience. "A huge part of it is reducing the gap between your imagination and what's possible, especially for everyday users — people who don't have a lot of time," he said. "They don't have time to figure out deploys or MCPs or APIs. They just want to design more interactive and more dynamic communication." He pointed to the rapid improvement in AI model capabilities as a key accelerant. "The kind of things you can create today in one shot — like a 3D visualization of a solar system — you really couldn't have trusted the output a year ago. But today, you have a really high success rate." Whether Canva Code becomes a durable product category or a feature that gets absorbed into the platform's broader AI workflow will depend on how quickly the company can close the gap between its current front-end focus and the full-stack capabilities that increasingly define the competition. Lovable is shipping Supabase-backed apps with authentication and databases built in. Replit's agents can execute autonomous long-running builds. Bolt.new runs entire Node.js environments in a browser tab. These are fundamentally different ambitions than making a conference landing page look good. But Canva has never won by matching the technical depth of its competitors. A decade ago, it didn't try to out-feature Adobe — it made design accessible to the 99 percent of people who would never open Photoshop. Now, in a vibe coding market where every tool can generate a working prototype from a prompt, Canva is making the same wager it made in 2012: that for most people, the hardest part was never the building. It was making it look like it came from you.
New no-code and pro-code capabilities enable customers and partners to build Fusion Agentic Applications backed by specialized agent teams, Fusion business objects, workflows, approvals, governance, and auditabilityWith the new AI Studio Skill, developers can now use familiar tools such as VS Code...
Oracle launches AI agent builder tools within Fusion Cloud Applications
Oracle launches AI agent builder tools within Fusion Cloud Applications
Oracle launches AI agent builder tools within Fusion Cloud Applications
Eighty-three percent of companies cite data quality as their top AI challenge, leaving most unready to scale agentic systems. Leaders must fix data and governance first.
Read helpful tech articles about IT technology and trends, custom mobile & web app development on the blog stfalcon.com
Native desktop application brings multi-repo Git management, terminals, worktrees, and AI-assisted development into one repository-aware workspace Glint Software announced the public beta of Glint (glint.dev), a native desktop workspace that brings multi-repo Git management, native terminals, and agentic AI coding into a single application. Instead of stitching together a code editor, multiple chat windows, and [...] The post Glint Opens Public Beta of Its AI-Native Git Workspace – Agentic Coding, Worktrees, and Terminals in One App appeared first on AiThority .
← Older revision Revision as of 18:08, 8 July 2026 Line 91: Line 91: * [https://ask.farsi.school/ Ask Farsi School - Q&A for Persian Learners] - timing out as of {{datetime|2026-06-20}} * [https://ask.farsi.school/ Ask Farsi School - Q&A for Persian Learners] - timing out as of {{datetime|2026-06-20}} * [https://ask.jsor.org/ Ask JSOR - Jersey Shore Orthodox Rabbinate Community] - not resolving as of {{datetime|2026-06-20}} * [https://ask.jsor.org/ Ask JSOR - Jersey Shore Orthodox Rabbinate Community] - not resolving as of {{datetime|2026-06-20}} * [https://ask.nwkings.com/ Ask Nwkings] - not resolving as of {{datetime|2026-07-08}} * [https://ask.cnct.ci/ ask.CI - test ask.ci] - not redirecting properly as of {{datetime|2026-07-08}} * [https://askyourdoubts.com/ AskYourDoubts.com] - not resolving as of {{datetime|2026-07-08}} * [https://assembled.getvoxpop.com/ Assembled] - not resolving as of {{datetime|2026-07-08}} * [https://forum.aussiegov.com/ Assiegov] - timing out as of {{datetime|2026-07-08}} * [https://forum.asudao.xyz/ ASU DAO - A DAO of progress and education!] - timing out as of {{datetime|2026-07-08}} * [https://discourse.atlas.engineer/ Atlas - A friendly community discussing developments and ideas for Nyxt.] - timing out as of {{datetime|2026-07-08}} * [https://forum.audax.red/ Audax Forum] - not resolving as of {{datetime|2026-07-08}} * [https://community.musicradiocreative.com/ Audio Enthusiasts Community - Adobe Audition - Audacity] - redirects to new forum at https://hub.mrc.fm/ as of {{datetime|2026-07-08}} * [https://argamesforum.boltiot.com/ Augmented Reality Bolt Forum - Learn to build your own Augmented Reality Application] - broken as of {{datetime|2026-07-08}} * [https://aurica-nwn.com/ Aurica - Aurica, a NWN PW inspired by Final Fantasy.] - not resolving as of {{datetime|2026-07-08}} * [https://auroramc.dev/ AuroraMC] - returning 502 as of {{datetime|2026-07-08}}
The most expensive resource in any small business isn’t capital—it’s time. And increasingly, that time is being swallowed up by something owners never set out to manage: payments. The last thing business owners want to do is devote more energy to managing payment processes. Many small businesses have discovered business management software with embedded payment [...] The post What Embedded Payments Can Solve for Small Businesses appeared first on PaymentsJournal .
Enterprise AI in regulated industries should borrow proven safety practices from aviation and nuclear engineering rather than relying on new governance frameworks. Explainability, rigorous configuration management, continuous monitoring, human oversight, and least-privilege architectures provide a more trustworthy foundation for deploying AI in safety-critical environments.
The intravascular catheterization market is on track for significant expansion, driven by technological advancements and increasing demand for less invasive procedures. This sector is evolving rapidly as healthcare providers seek safer, more efficient vascular access solutions. Let's explore the projected
The North America blind bolts market size was valued at $268 million in 2025 and is projected to grow from $287 million in 2026 to reach $528 million by 2034, growing at a CAGR of 7.9% during the forecast period 2026–2034.
AI agents go beyond chatbots: they perceive a task, reason through clinical and payer rules, take an action inside the EHR or payer system, then verify the result. The best fits in healthcare operations are high-volume, rule-governed tasks like eligibility checks, scheduling, and prior authorization, but autonomy has to match risk, not model capability. Medical coding is the hardest test case, since every AI-suggested code needs a traceable link back to documentation for audit purposes. A production-grade agent needs five layers: reasoning, tools, EHR/FHIR integration, a deterministic guardrail layer sitting outside the model, and an audit trail, plus governance that defines autonomy boundaries, explainability, and override paths before launch. Start with one narrow task, prove accuracy and auditability, then expand.
Frontier Lithium Inc. (CVE:FL – Get Free Report)’s stock price hit a new 52-week low on Tuesday . The company traded as low as C$0.43 and last traded at C$0.44, with a volume of 254072 shares. The stock had previously closed at C$0.45. Frontier Lithium Stock Performance The stock’s 50-day moving average price is C$0.54 [...]
Frontier Lithium Inc. (CVE:FL – Get Free Report) reached a new 52-week low during trading on Tuesday . The stock traded as low as C$0.43 and last traded at C$0.44, with a volume of 254072 shares traded. The stock had previously closed at C$0.45. Frontier Lithium Stock Down 2.2% The firm’s 50 day simple moving [...]
In the fast-moving world of cryptocurrency, finding the right opportunity at the right time can make all the difference for investors looking to build wealth in 2026. As Bitcoin continues to dominate headlines and established altcoins mature, many are turning
If completed at the current terms, the round will mark a sharp re-rating for the company less than a year after it raised $15 million from Salesforce Ventures, Accel and Together Fund at a valuation of around $60 million. The new capital is expected to be used to deepen Rocket’s AI capabilities, expand product development and grow its global go-to-market presence, they said.
Asia-Pacific healthcare faces compounding structural pressures: the region holds 60% of the world's population but accounts for only 22% of global health spending, with doctor-to-patient ratios well below WHO minimums.
In this article, we will list the 5 Best 52-week Low Technology Stocks To Buy According To Analysts. Please visit the 10 Best 52-week Low Technology Stocks to Buy According to Analysts if you’d like to see an extended list and how we came up with the list of best 52-week tech stocks. 5. Wise [...]
Every enterprise is hard at work building a workforce made of software. Almost none of them know how to manage it. How do you govern, audit, measure and coordinate employees that happen to be artificial intelligence agents? Most companies don’t. The problem is too new. So Karen Webster put the question to Charbel Safadi, [...] The post Zafin’s CEO Wants to Build the Control Tower for Enterprise AI appeared first on PYMNTS.com .
H3 Zoom, a Singapore‐based deeptech startup building AI‐driven inspection and asset‐intelligence software, has closed an oversubscribed Series A round of US$3.6 million. The financing was led by JRE Ventures, the corporate venture arm of Japan’s East Japan Railway Company, with participation from SGInnovate, M7 Holdings, Moringa Ventures, and Lotus One Investment, besides an AngelCentral member [...] The post From façades to railways: H3 Zoom raises US$3.6M to commercialise AI inspection tech across SEA, Japan appeared first on e27 .
"The best brands treat athletes as genuine coconspirators in the project."
AI Acquisition was built on the belief that AI agents are the new operating layer for businesses, and this belief sits at the center of a broader shift unfolding across the artificial intelligence market. Businesses started adopting AI primarily through applications that assisted users with specific tasks, but now attention is turning toward AI agents designed not merely to assist with work but to perform it. The post AI Acquisition building infra for AI agent economy appeared first on Digital Journal .
For the first time, any brokerage on Rechat can build their own apps on the operating system built for scale.
Ari Kaplan recently attended RelFest London 2026, and he recently spoke with the following leaders at Relativity. Chris Brown, chief product officer Georgia Foster, managing...
The aerospace titanium fasteners market size is projected to grow from $2049 million in 2026 to $3216.82 million by 2034, at a CAGR of 5.8% during the forecast period 2026-2034.
Seventy-seven percent of CIOs cite security and risk as the biggest barriers to scaling autonomous technologies. Some are finding ways to move fast anyway.
The recombinant spider silk proteins market is entering a non-linear value inflection phase as commercialization moves beyond laboratory-scale validation into industrial production platforms. Unlike conventional textile fibers that compete primarily on volume, recombinant spider silk operates within a high-performance materials
<p>Vibe coding has emerged as a way for organizations of all sizes to quickly develop a wide range of applications.</p> <p>Gone are the days when only trained developers could build sophisticated applications. While the generative AI that enables <a href="https://www.techtarget.com/searchcio/feature/Vibe-coding-What-IT-leaders-need-to-know">vibe coding</a> to democratize development is powerful, it also exposes multiple risks to organizations. A <a href="https://info.redaccess.io/shadow-ai-builders-security-report" target="_blank" rel="noopener">report</a> from Red Access puts a number on a risk many IT executives suspected but couldn't quantify. Scanning more than 380,000 web assets across vibe-coding platforms, including Lovable, Replit and Base44, researchers identified 5,000 built for corporate purposes. Of those, 40% contained sensitive data deployed without basic security controls. Every exposure was reachable by anyone with a browser.</p> <p>This is not the <a href="https://www.techtarget.com/searchsecurity/tip/Shadow-AI-How-CISOs-can-regain-control-in-2026">shadow AI</a> problem the industry has discussed for two years, which centered on employees pasting data into AI chat on personal accounts. Red Access documented employees building full applications, connecting them to production systems, and deploying them publicly as shadow IT applications, while IT remains unaware.</p> <section class="section main-article-chapter" data-menu-title="The data that should keep you up at night"> <h2 class="section-title"><i class="icon" data-icon="1"></i>The data that should keep you up at night</h2> <p>In any given year, there is always a good volume of <a href="https://www.techtarget.com/whatis/34-Cybersecurity-Statistics-to-Lose-Sleep-Over-in-2020">security stats </a>that can keep IT professionals awake at night. Vibe coding introduces another whole set of concerns.</p> <h3>The Red Access research findings</h3> <p>Some of the key findings in the Red Access report include:</p> <ul class="default-list"> <li>2,000 of the 5,000 identified vibe-coded applications contained sensitive data with no authentication, no access controls and no audit trail.</li> <li>Data types exposed included financial records, patient conversations, strategic documents and credentials and API keys.</li> <li>According to Red Access, in a 'meaningful number of cases', applications granted administrative access by default to any visitor who reached the URL.</li> <li>Cases included a live financial dashboard at one of Latin America's largest banks and strategic documents from a $200 billion company, reached through a vendor's tool.</li> <li>Exposures documented across every industry and every continent, including Fortune 500 enterprises, reached through third-party vendor tools, with organizations, in some cases, passing compliance audits while the exposures remained live.</li> </ul> <p>"What we found was that no sector was clean. Legal, healthcare, government, finance and, with some irony, instances tied to cybersecurity companies, that mix is what reframed it for us," Dor Zvi, CEO of Red Access, said. "This isn't a niche problem in any one vertical. It's a category-level pattern, and it means the work for security teams is both stack work and coaching work because the people building these apps aren't malicious, they're competent employees solving real problems faster than their organization could."</p> <h3>The broader AI coding security landscape</h3> <p>The Red Access report is not the first, nor is it likely to be the last, report on the AI coding risks. The Red Access findings sit inside a broader picture of vibe coding security risks and AI-generated code vulnerabilities.</p> <ul class="default-list"> <li>Veracode's 2025 <a href="https://www.veracode.com/resources/analyst-reports/2025-genai-code-security-report/" target="_blank" rel="noopener">GenAI Code Security Report </a>found security weaknesses in 45% of AI-generated code samples.</li> <li>Apiiro <a href="https://apiiro.com/blog/4x-velocity-10x-vulnerabilities-ai-coding-assistants-are-shipping-more-risks" target="_blank" rel="noopener">reported</a> AI-assisted developers shipped code three to four times faster while producing security findings at roughly 10 times the rate.</li> <li>A March 2025 <a href="https://news.utsa.edu/2025/04/utsa-researchers-investigate-ai-threats-in-software-development/" target="_blank" rel="noopener">study </a>from the University of Texas at San Antonio found nearly one in five AI-generated code samples from the GPT- series referenced software packages that did not exist.</li> <li>Escape.tech <a href="https://escape.tech/state-of-security-of-vibe-coded-apps" target="_blank" rel="noopener">scanned</a> more than 2,000 critical vulnerabilities across 1,400 production vibe-coded applications, along with exposed secrets and sensitive information.</li> <li>Harness reported in its 2025 <a href="https://www.harness.io/state-of-software-delivery" target="_blank" rel="noopener">State of Software Delivery</a> that 67% of developers spend more time debugging AI-generated code than before adopting AI coding tools.</li> </ul> <h3>The financial impact</h3> <p>The risk from an insecurely coded application can be material to an organization.</p> <p>IBM's <a href="https://www.ibm.com/reports/data-breach" target="_blank" rel="noopener">2025 Cost of a Data Breach Report</a> provides hard numbers on the costs of shadow AI incidents to organizations.</p> <ul class="default-list"> <li>Shadow AI incidents average $4.63 million per breach, $670,000 above the baseline for standard breaches.</li> <li>63% of organizations that experienced AI-related breaches lacked an AI governance policy.</li> <li>32% of breached organizations paid regulatory fines, with 48% exceeding $100,000.</li> </ul> <p><a href="https://www.techtarget.com/searchcio/feature/The-hidden-costs-of-AI-What-leaders-must-budget">Hidden costs</a> often extend further with technical debt from unreviewed AI code, performance remediation and emergency patching as unsecured applications move from prototype to production.</p> </section> <section class="section main-article-chapter" data-menu-title="Why this is your biggest blind spot"> <h2 class="section-title"><i class="icon" data-icon="1"></i>Why this is your biggest blind spot</h2> <p>The challenge for many enterprises is that traditional security controls were designed for IT-controlled application deployment. With vibe coding, that's no longer the case, leading to unsecured AI applications and AI code exposure risks.</p> <p><b>The visibility gap.</b> There is a clear visibility gap in the security of AI coding tools, as it resides in an area that traditional IT security doesn't monitor.</p> <p>"The problem with shadow AI is it skips all of the different types of enterprise controls and processes, which assume that there is a review from governance, procurement, architecture, security and change management," said Erik Avakian, technical counselor at Info-Tech Research Group and former chief information security officer for the Commonwealth of Pennsylvania.</p> <p><b>The speed paradox. </b>Vibe coding is fast, enabling users to rapidly go from idea to a publicly reachable production system connected to live enterprise data.</p> <p><b>The democratization double-edge</b>. Non-technical employees can now build and deploy full applications, and most have no background in authentication, access controls or data classification.</p> <p>"These non-technical employees think they're enhancing productivity," said Charles Henderson, head of DivisionHex at Coalfire. "In reality, they're creating a new attack surface that's unmonitored and unsecured.</p> <p><b>The "it's just a quick tool" mentality.</b> Employees don't see internal tools as security risks. "It's just for our team" becomes a publicly accessible URL, and prototype becomes production without review because deployment is a single click. "They may share a link without realizing it can be forwarded. They may connect an entire folder when the tool only needs five fields," said Tom Levi, field CISO and director of cyber-risk strategy at CYE, a global cybersecurity company. "That is where a small workflow shortcut can become a material business exposure."</p> </section> <section class="section main-article-chapter" data-menu-title="The real-world scenarios"> <h2 class="section-title"><i class="icon" data-icon="1"></i>The real-world scenarios</h2> <p>Vibe coding risks are not hypothetical; there are real-world scenarios, including the following examples:</p> <ul class="default-list"> <li><b>The sales dashboard.</b> A sales manager builds a deal tracker in a vibe coding tool, connects it to the CRM and publishes without authentication. Customer names, deal values and forecasts sit at a guessable URL, indexed by Google. "The composite version of a case I've seen more than once: a small internal dashboard pulling from a CRM extract, deployed via the platform's default publish to web flow. API key embedded directly in the front-end bundle. No auth gate,"Krti Tallam, senior member of technical staff at KamiwazaAI said.</li> <li><b>The HR tool.</b> An HR coordinator builds an employee directory with salary bands, performance reviews and personal information. The link gets shared internally, and the app is also publicly accessible. The builder never considered regulatory liability or the lack of an audit trail.</li> <li><b>The customer support helper.</b> A business team builds a tool to summarize customer tickets or patient conversations, and security discovers it is processing customer names, contract details and regulated data outside normal controls.</li> <li><b>The financial tracker.</b> A finance team member builds an expense tracker connected to accounting systems. Sensitive financial data is accessible using a public URL, creating a compliance exposure that the builder never considered.</li> </ul> </section> <section class="section main-article-chapter" data-menu-title="Why traditional security approaches fail"> <h2 class="section-title"><i class="icon" data-icon="1"></i>Why traditional security approaches fail</h2> <p>Enterprises have multiple tools and processes in place for security; however, most traditional security approaches fail for several reasons.</p> <h3>The tool proliferation problem</h3> <p>The vibe-coding market spans dozens of platforms, including Lovable, Replit, Base44, Bolt and Cursor, with new entrants constantly. Blocking them all would cut off the work that organizations depend on. "Blocking everything feels decisive, but it usually drives the activity into places security cannot see," Levi said.</p> <h3>The detection challenge</h3> <p>Apps are deployed to Netlify, Vercel and Replit's external hosting, not on corporate infrastructure or networks, generating no signal in traditional asset discovery tools and no DNS records pointing to corporate domains. They appear in no asset inventory. Phishing pages impersonating Bank of America, FedEx, Trader Joe's and Costco on vibe-coding platform subdomains, found by Red Access researchers, inherit the platform's domain reputation, neutralizing domain-based filtering.</p> <p>"Traditional monitoring was not built to see AI-centric activity," Henderson said. "It misses things like prompt-based data exfiltration, OAuth AI integrations, browser-based tools, model-to-data interactions and API token sprawl."</p> </section> <section class="section main-article-chapter" data-menu-title="The immediate action plan"> <h2 class="section-title"><i class="icon" data-icon="1"></i>The immediate action plan</h2> <p>CIOs are not helpless against the risks of vibe coding. There are some immediate steps that can be taken to help manage the risk.</p> <h3>Discovery and assessment</h3> <p>Start with inventory, not policy, and complete it within 30 days. Frame it as an ask, not an audit. "Before any tooling decision, run a workforce-wide inventory ask. Not an audit -- an ask," Zvi said.</p> <p><i>Action items:</i></p> <ul class="default-list"> <li>Survey development teams on AI coding tool usage.</li> <li>Review credit card statements for platform subscriptions and search for corporate email addresses on Lovable, Replit, Base44 and similar platforms.</li> <li>Check for apps deployed under corporate accounts on Netlify, Vercel and Replit.</li> <li>Identify which teams handle sensitive data, evaluate regulatory compliance impacts and calculate financial exposure.</li> </ul> <h3>Immediate risk mitigation</h3> <p>Once you know what exists, act on the highest-risk exposures first. Publicly accessible apps with no authentication are the priority.</p> <p><i>Action items:</i></p> <ul class="default-list"> <li style="list-style: none;"> <ul class="default-list"> <li>Implement a temporary pause on new vibe-coded app deployments.</li> <li>Require all existing applications to be registered and make clear what happens if teams do not comply.</li> <li>Add authentication to any publicly accessible app immediately and remove sensitive data from apps that cannot be quickly secured.</li> <li>Provide approved platforms with built-in controls as an alternative.</li> </ul> </li> </ul> <h3>Long-term governance framework</h3> <p>The long-term goal is to enable users to use vibe coding to build secure applications without resorting to a shadow approach.</p> <p>"Build the paved path," said Will Bengtson, CISO at ConductorOne. "Create the AI skills files, the process, the blessed route for deploying an app inside your organization."</p> <p><i>Action items:</i></p> <ul class="default-list"> <li>Develop an AI coding governance policy covering acceptable use cases, prohibited data types and approval workflows.</li> <li>Deploy discovery tools, extend data loss protection rules to major vibe-coding platform domains and integrate security scanning into approved workflows.</li> <li>Provide some training to users within the organization on authentication, access controls and data classification before they build.</li> </ul> <p>"The goal isn't to stop shadow AI coding," Tallam said. "It's to make sure the audit trail survives it."</p> </section> <section class="section main-article-chapter" data-menu-title="Conclusion: The choice you face"> <h2 class="section-title"><i class="icon" data-icon="1"></i>Conclusion: The choice you face</h2> <p>Vibe coding usage is real and isn't going to disappear. Responsible and proactive CIOs and IT leaders must face the reality shown by the data.</p> <p>Red Access found 5,000 corporate-purpose vibe-coded applications exposed on the public internet. These apps did not require exploitation to access, and they were not listed in any asset inventory. In other words, this is not a hypothetical risk or a future concern. The apps are live now, and employees are continuing to build more.</p> <p>For most organizations, the choice to enable AI-assisted development has effectively already been made. The real question is whether CIOs put governance around it before one of these apps becomes the next security incident.</p> <p>"The honest framing is that they're how you start, not how you finish," Zvi said.</p> <p><i>Sean Michael Kerner is an IT consultant, technology enthusiast and tinkerer. He has pulled Token Ring, configured NetWare and been known to compile his own Linux kernel. He consults with industry and media organizations on technology issues.</i> </p> </section>
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Key Highlights: Austen is an AI content platform --designed and developed by Intellistake-- built as a suite of specialized expert agents around brand-voice...
Key Highlights: Austen is an AI content platform —designed and developed by Intellistake— built as a suite of specialized expert agents around brand-voice modeling, intended to produce written content that sounds authentically like the person using it, not standard GPT-written content. Purpose-built for founders, operators, thought leaders, and agencies, Austen is being designed to help users publish consistently while keeping the distinctive voice that makes their content stand out. Austen is being built around an innovative single-workflow model intended to take a user from idea to published content across every connected channel, with output designed to adapt to the native format of each platform rather than reposting the same content everywhere. Austen is currently in internal testing alongside enterprise-level deployments, with a beta release expected to follow ahead of a planned commercial release. Watch the introduction video on YouTube and sign up at goausten.ai/landing for exclusive early access to the beta once it opens. Austen reflects Intellistake's continued expansion into applied AI products, building on the Company's existing work across AI infrastructure, validator operations and enterprise AI agent deployments. VANCOUVER, BC , June 2, 2026 /CNW/ - Intellistake Technologies Corp. (CSE: ISTK ) (OTCQB: ISTKF ) (FSE: E41) ("Intellistake" or the "Company"), today unveils Austen, an AI content platform being designed to produce written content in a user's own voice. Austen is being built for founders, thought leaders, marketing operators, and agencies. The platform is being designed to learn an individual or brand's tone, surface topics relevant to the user's industry, and produce drafts intended to read as something the user would have written themselves. The platform is currently undergoing internal testing, with a beta release expected to follow. The timing of release and milestone updates will be provided in a subsequent press release. The Problem Austen Is Built to Solve Small businesses, founders, and lean marketing teams face a widening content demand they do not have the internal resources to meet. AI has filled the gap. 58% of U.S. small businesses now use generative AI, up from 23% two years ago.1 But when everyone uses the same tools, the output sounds the same. A 2025 study found that when small businesses lost access to ChatGPT, their content diverged by 15% from competitors' , and engagement rose by roughly 3.5% .2 Generic AI costs engagement. Austen is being built to preserve the voice that generic AI strips out. The platform is being designed to learn how each user writes and produces drafts in their own words, at the same speed. In recent internal benchmark testing, content produced through Austen was returned as undetectable as AI-written by leading detection tools, including ZeroGPT. What Austen Is Designed To Do Austen is not a single large language model with a prompt box on top. It is being built as a suite of specialized expert agents, each focused on a discrete part of the content workflow and each trained by humans with deep expertise in that discipline. The agents are designed to work together, with the user's voice as the through-line. Daily topic discovery . Austen is being designed to surface what is trending within a user's industry each day, or accept a user-supplied topic. Brand-voice modeling. The platform is being designed to learn and refine a user's voice over time, producing drafts intended to ... Full story available on Benzinga.com
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Pivot, the AI operating system for procurement, today announced that it has raised $40 million in a Series B funding round, taking the total amount raised since the company’s founding in 2023 to $70 million. The oversubscribed round was led by Forestay Capital and Notion Capital, with participation from Greyhound and procurement industry veterans, including the former Global VP Sales at Ariba and the founder of EcoVadis, as well as existing investors including Hedosophia, Visionaries Club, and Emblem. The post Pivot Raises $40 Million Series B to Replace Legacy Procurement Software with an Enterprise AI Operating System appeared first on FF News | Fintech Finance .
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