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VentureBeat

Anthropic says it hit a $30 billion revenue run rate after 'crazy' 80x growth OpenAI voice models get GPT-5-class reasoning AI agent identity: how to govern agentic AI in 6 stages Anthropic wants to own your agent's memory, evals, and orchestration — and that should make enterprises nervous Enterprise GPU utilization: why 95% of AI infrastructure spend is wasted Governance, not gatekeeping: How SAP brings enterprise‑grade safety to AI connectivity Anthropic introduces "dreaming," a system that lets AI agents learn from their own mistakes RL orchestration: how a 7B model routes tasks across GPT-5, Claude, and Gemini Meet ZAYA1-8B, a super efficient open reasoning model trained on AMD Instinct MI300 GPUs Anthropic Skill scanners passed every check. The malicious code rode in on a test file. Why AI breaks without context — and how to fix it Market research is too slow for the AI era, so Brox built 60,000 identical 'digital twins' of real people you can survey instantly, repeatedly The app store for robots has arrived: Hugging Face launches open-source Reachy Mini App Store with 200+ apps Scaling AI into production is forcing a rethink of enterprise infrastructure Miami startup Subquadratic claims 1,000x AI efficiency gain with SubQ model; researchers demand independent proof. GPT-5.5 Instant shows you what it remembered — just not all of it One command turns any open-source repo into an AI agent backdoor. OpenClaw proved no supply-chain scanner has a detection category for it AI agents are missing all the discussions your team is having. SageOX has an answer: agentic context infrastructure OpenAI turns its sold-out GPT-5.5 party into a monthlong Codex giveaway for 8,000 developers Inside AMEX’s agentic commerce stack: How intent contracts and single-use tokens enforce AI transactions Microsoft takes Agent 365 out of preview as shadow AI becomes an enterprise threat The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next Salesforce Agentforce Operations fixes workflows breaking enterprise AI MCP command execution flaw: what security teams need to know The scaffolding era is over. LlamaIndex says context is the new moat xAI launches Grok 4.3 at an aggressively low price and a new, fast, powerful voice cloning suite Hidden IT problems are quietly creating risk, shadow IT, and lost productivity Alibaba's HDPO cuts AI agent tool overuse from 98% to 2% One tool call to rule them all? New open source Python tool Runpod Flash eliminates containers for faster AI dev Why OpenAI's 'goblin' problem matters — and how you can release the goblins on your own AI coding agents breached: attackers targeted credentials, not models | VentureBeat Writer launches AI agents that can act without prompts, taking on Amazon, Microsoft and Salesforce Netomi raises $110 million as Accenture and Adobe bet on AI for customer service Cheaper tokens, bigger bills: The new math of AI infrastructure Amazon’s OpenAI gambit signals a new phase in the cloud wars — one where exclusivity no longer applies Enterprise RAG rebuild: hybrid retrieval adoption tripled in Q1 2026 IBM launches Bob with multi-model routing and human checkpoints to turn AI coding into a secure production system AWS Quick's knowledge graph creates an orchestration blind spot Why enterprise GPU utilization is stuck at 5% — and why the fix makes it worse Definity embeds agents inside Spark pipelines to catch failures before they reach agentic AI systems How to build custom reasoning agents with a fraction of the compute American AI startup Poolside launches free, high-performing open model Laguna XS.2 for local agentic coding Mistral AI launches Workflows, a Temporal-powered orchestration engine already running millions of daily executions Microsoft and OpenAI gut their exclusive deal, freeing OpenAI to sell on AWS and Google Cloud Open source Xiaomi MiMo-V2.5 and V2.5-Pro are among the most efficient (and affordable) at agentic 'claw' tasks AI framework autonomously outperforms human-designed R&D baselines Why supply chains are the proving ground for automation‑led iPaaS RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk Enterprises are obsessing over model accuracy while ignoring the infrastructure layer where AI systems actually break. Monitoring LLM behavior: Drift, retries, and refusal patterns CVSS vulnerability triage: 5 failures, 5 fixes DeepSeek-V4 arrives with near state-of-the-art intelligence at fraction of the cost of Opus 4.7, GPT-5.5 85% of enterprises are running AI agents. Only 5% trust them enough to ship. AI synthetic audiences are already here and poised to upend the consulting industry Mystery solved: Anthropic reveals changes to Claude's harnesses and operating instructions likely caused degradation OpenAI's GPT-5.5 is here, and it's no potato: narrowly beats Anthropic's Claude Mythos Preview on Terminal-Bench 2.0 New startup BAND debuts agentic mesh with deterministic routing to govern multiple enterprise AI agents across model providers, channels OpenAI unveils Workspace Agents, a successor to custom GPTs for enterprises that can plug directly into Slack, Salesforce and more Google and AWS split the AI agent stack between control and execution Are you paying an AI ‘swarm tax’? Why single agents often beat complex systems OpenAI launches Privacy Filter, an open source, on-device data sanitization model that removes personal information from enterprise datasets Google doesn't pay the Nvidia tax. Its new TPUs explain why. Salesforce’s Agentforce Vibes 2.0 targets a hidden failure: context overload in AI agents Google’s Gemini can now run on a single air-gapped server — and vanish when you pull the plug The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action. Google’s new Deep Research and Deep Research Max agents can search the web and your private data Vercel breach exposes the OAuth gap most security teams cannot detect, scope or contain The AI governance mirage: Why 72% of enterprises don’t have the control and security they think they do OpenAI's ChatGPT Images 2.0 is here and it does multilingual text, full infographics, slides, maps, even manga — seemingly flawlessly Kimi K2.6 runs agents for days — and exposes the limits of enterprise orchestration What AI model should you use for revenue intelligence? Von says all the big ones, and it will automate mixing and matching for you Three AI coding agents leaked secrets through a single prompt injection. One vendor's system card predicted it Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference AI agent security maturity audit: enterprises funded stage one, stage-three threats arrived anyway Anthropic just launched Claude Design, an AI tool that turns prompts into prototypes and challenges Figma Should my enterprise AI agent do that? NanoClaw and Vercel launch easier agentic policy setting, approval dialogs for messaging apps Salesforce launches Headless 360 to turn its entire platform into infrastructure for AI agents Are we getting what we paid for? How to turn AI momentum into measurable value OpenAI debuts GPT-Rosalind, a new limited access model for life sciences, and broader Codex plugin on Github OpenAI drastically updates Codex desktop app to use all other apps on your computer, generate images, preview webpages Anthropic releases Claude Opus 4.7, narrowly retaking lead for most powerful generally available LLM AI lowered the cost of building software. Enterprise governance hasn’t caught up Microsoft patched a Copilot Studio prompt injection. The data exfiltrated anyway Frontier models are failing one in three production attempts — and getting harder to audit Meta researchers introduce 'hyperagents' to unlock self-improving AI for non-coding tasks We tested Anthropic’s redesigned Claude Code desktop app and 'Routines' -- here's what enterprises should know AI's next bottleneck isn't the models — it's whether agents can think together Adobe’s new Firefly AI Assistant wants to run Photoshop, Premiere, Illustrator and more from one prompt Traza raises $2.1 million led by Base10 to automate procurement workflows with AI Agentic coding at enterprise scale demands spec-driven development Designing the agentic AI enterprise for measurable performance Five signs data drift is already undermining your security models Your developers are already running AI locally: Why on-device inference is the CISO’s new blind spot AI agent credentials live in the same box as untrusted code. Two new architectures show where the blast radius actually stops. Intuit compressed months of tax code implementation into hours — and built a workflow any regulated-industry team can adapt OpenAI introduces ChatGPT Pro $100 tier with 5X usage limits for Codex compared to Plus Mythos autonomously exploited vulnerabilities that survived 27 years of human review. Security teams need a new detection playbook Claude, OpenClaw and the new reality: AI agents are here — and so is the chaos Goodbye, Llama? Meta launches new proprietary AI model Muse Spark — first since Superintelligence Labs' formation LLM-referred traffic converts at 30-40% — and most enterprises aren't optimizing for it
Claude Code and Claude in Chrome have four security blind spots. Here's the audit
louiswcolumb · 2026-05-12 · via VentureBeat

Between May 6 and 7, four security research teams published findings about Anthropic’s Claude that most outlets covered as three separate stories. One involved a water utility in Mexico, another targeted a Chrome extension, and a third hijacked OAuth tokens through Claude Code. In one case, Claude identified a water utility’s SCADA gateway without being told to look for one.

These are not three bugs. They are one architectural question playing out on three surfaces. No single patch released so far addresses all of them.

The common thread is the confused deputy, a trust-boundary failure where a program with legitimate authority executes actions on behalf of the wrong principal. In each case, Claude held real capabilities on every surface and handed them to whoever showed up. An attacker probing a water utility's network. A Chrome extension with zero permissions. A malicious npm package rewriting a config file.

Carter Rees, VP of Artificial Intelligence at Reputation, identified the structural reason this class of failure is so dangerous. The flat authorization plane of an LLM fails to respect user permissions, Rees told VentureBeat in an exclusive interview. An agent operating on that flat plane does not need to escalate privileges, it already has them.

Kayne McGladrey, an IEEE senior member who advises enterprises on identity risk, described the same dynamic independently in an interview with VentureBeat. Enterprises are cloning human permission sets onto agentic systems, McGladrey said. The agent does whatever it needs to do to get its job done, and sometimes that means using far more permissions than a human would.

Dragos found Claude targeting a water utility’s SCADA gateway without being told to look for one

Dragos published its analysis on May 6. Between December 2025 and February 2026, an unidentified adversary compromised multiple Mexican government organizations. In January 2026, the campaign reached Servicios de Agua y Drenaje de Monterrey, the municipal water and drainage utility serving the Monterrey metropolitan area.

Dragos analyzed more than 350 artifacts. The adversary used Claude as the primary technical executor and OpenAI’s GPT models for data processing. Claude wrote a 17,000-line Python framework containing 49 modules for network discovery, credential harvesting, privilege escalation, and lateral movement. Claude compressed what would traditionally take days or weeks of tooling development into hours, according to the Dragos analysis.

Without any prior ICS/OT context, Claude identified a server running a vNode SCADA/IIoT management interface, classified the platform as high-value, generated credential lists, and launched an automated password spray. The attack failed, and no OT breach occurred, but Claude did the targeting. Dragos noted that this was not a product vulnerability in the traditional sense because Claude performed exactly as designed. The architectural gap, as the firm described it, is that the model cannot distinguish an authorized developer from an adversary using the same interface.

Jay Deen, associate principal adversary hunter at Dragos, wrote that the investigation showed how commercial AI tools have made OT more visible to adversaries already operating within IT.

CrowdStrike CTO Elia Zaitsev told VentureBeat why this class of incident evades detection. Nothing bad has happened until the agent acts, Zaitsev said. It is almost always at the action layer. The Monterrey reconnaissance looked like a developer querying internal systems. The developer tool just had an adversary at the keyboard.

Stack blind spot: OT monitoring does not flag AI-generated recon from IT-side developer tools. EDR sees the process but has no visibility into intent.

LayerX proved any Chrome extension can hijack Claude through a trust boundary Anthropic partially patched

On May 7, LayerX researcher Aviad Gispan disclosed ClaudeBleed. Claude in Chrome uses Chrome’s externally connectable feature to allow communication with scripts on the claude.ai origin, but does not verify whether those scripts came from Anthropic or were injected by another extension. Any Chrome extension can inject commands into Claude’s messaging interface. Zero permissions required.

LayerX reported the flaw on April 27. Anthropic shipped version 1.0.70 on May 6. LayerX found that the patch did not remove the vulnerable handler. LayerX bypassed the new protections through the side-panel initialization flow and by switching Claude into "Act without asking" mode, which required no user notification. Anthropic's patch survived less than a day.

Mike Riemer, SVP of Network Security Group and Field CISO at Ivanti, told VentureBeat that threat actors are now reverse engineering patches within 72 hours using AI assistance. If a vendor releases a patch and the customer has not applied it within that window, the vulnerability is already being exploited, Riemer said. Anthropic's ClaudeBleed patch did not survive even a third of that window.

Stack blind spot: EDR watches files and processes but does not monitor extension-to-extension messaging within the browser. ClaudeBleed produces no file writes, no network anomalies, and no process spawns.

Mitiga showed a config file rewrite steals OAuth tokens and survives rotation

Also on May 7, Mitiga Labs researcher Idan Cohen published a man-in-the-middle attack chain targeting Claude Code. Claude Code stores MCP configuration and OAuth tokens in ~/.claude.json, a single user-writable file. A malicious npm postinstall hook can rewrite the MCP server URL to route traffic through an attacker's proxy, capturing OAuth tokens for Jira, Confluence, and GitHub. Because the postinstall hook fires on every Claude Code load, it reasserts the malicious endpoint even after token rotation — meaning the standard incident response step of rotating credentials does not break the attack chain unless the hook itself is removed first.

Mitiga reported the finding on April 10. On April 12, Anthropic classified it as out of scope, according to Mitiga’s published disclosure.

Riemer described the principle this chain violates. I do not know you until I validate you, Riemer told VentureBeat. Until I know what it is and I know who is on the other side of the keyboard, I am not going to communicate with it. The ~/.claude.json rewrite substitutes the attacker’s endpoint for the legitimate one. Claude Code never re-validates.

Riemer has spent 21 years architecting the product he now leads and holds five patents on its security infrastructure. He applies the same defensive logic he built into his own platform. If a threat actor gets in, drop all connections. That is a fail-safe design. Anthropic's architecture does the opposite. It fails open.

Stack blind spot: Web application firewalls never see local config rewrites. EDR treats JSON file writes as normal developer behavior. Rotating tokens does not break the chain unless responders also confirm the hook is removed.

Anthropic’s response pattern treats the user’s trust decision as the security boundary

Anthropic classified Mitiga's MCP token theft as out of scope on April 12. The company called OX Security's STDIO vulnerability affecting an estimated 200,000 MCP servers "expected" and by design. Anthropic declined Adversa AI's TrustFall as outside its threat model, according to Adversa's published disclosure. ClaudeBleed was partially patched. Across all four disclosures, the researchers say the underlying trust model remains exploitable.

Alex Polyakov, co-founder of Adversa AI, told The Register that each vulnerability gets patched in isolation, but the underlying class has not been fixed.

Zaitsev offered a frame for why consent alone cannot serve as the trust boundary. If you think you can always understand intent, Zaitsev told VentureBeat, then you would also think it is possible to write a program that reads a text transcript and figures out if someone is lying. That is intuitively an impossible problem to solve.

Adversa AI showed that a cloned repo can auto-execute arbitrary code the moment a developer clicks trust

Adversa AI researcher Alex Polyakov published TrustFall, demonstrating that project-scoped Claude configuration files in a cloned repository can silently authorize MCP servers to run as native OS processes with full user privileges. The moment a developer clicks the generic “Yes, I trust this folder” dialog, any MCP server defined in the project config launches. The dialog does not show what it authorizes.

In automated build pipelines where Claude Code runs without a screen, the trust dialog never appears. The attack executes with zero human interaction. Adversa confirmed the pattern is not unique to Claude Code. All four major coding agents (Claude Code, Cursor, Gemini CLI, and GitHub Copilot) can auto-execute project-defined MCP servers the moment a developer accepts that dialog.

Stack blind spot: No current security tooling can tell the difference between a legitimate project config and a malicious one. The trust dialog is the only thing standing between the developer and arbitrary code execution, and it does not show what it is about to authorize.

The matrix below maps each surface that Claude wrongly trusted, the stack blind spot, the detection signal, and the recommended action.

Claude Confused Deputy Audit Matrix

Surface

Who Claude Trusted

Why Your Stack Misses It

Detection Signal

Recommended Action

claude.ai / API

Dragos, May 6

350+ artifacts analyzed

Attacker posing as an authorized user via Claude’s prompt interface.

Claude cannot distinguish a developer mapping internal systems from an adversary doing the same thing through the same interface.

OT monitoring watches ICS protocols and anomalous traffic patterns.

AI-generated recon originates from an IT-side developer tool, not from the OT network. The queries look identical to legitimate developer activity because they ARE legitimate developer activity with an adversary at the keyboard.

Query:

Claude API logs for requests referencing internal hostnames, IP ranges, or SCADA/ICS keywords.

Alert trigger:

>5 credential generation requests against internal services in 60 minutes.

Escalation:

OT team notified on any AI-originated query touching vNode, SCADA, HMI, or PLC keywords.

Segment AI-assisted sessions from OT-adjacent network segments.

Log all Claude API calls referencing internal hostnames or IP ranges.

Alert on automated credential generation targeting internal authentication interfaces.

Require explicit OT authorization for any AI tool with internal network access.

Claude in Chrome

LayerX, May 7

v1.0.70 patch bypassed <24hrs

Any script running in the claude.ai browser context, including scripts injected by zero-permission extensions.

The externally connectable manifest trusts the origin (claude.ai), not the execution context. Any extension can inject into that origin.

EDR monitors file system activity, process execution, and network connections.

Extension-to-extension messaging happens entirely within the browser runtime. No file writes. No network anomalies. No process spawns. EDR has zero visibility into Chrome’s internal messaging API.

Query:

Chrome extension inventory for any extension with content scripts targeting claude.ai in the manifest.

Alert trigger:

New extension installed with claude.ai in permissions or content script targets.

Escalation:

Browser security team reviews any extension communicating with Claude’s messaging interface.

Audit Chrome extensions across the fleet for claude.ai content script access.

Disable “Act without asking” mode in Claude in Chrome enterprise-wide.

Deploy browser security tooling that inspects extension messaging channels.

Monitor for extensions injecting content scripts into claude.ai domain.

Claude Code MCP

Mitiga, May 7

Anthropic: “out of scope” April 12

Rewritten ~/.claude.json routing MCP traffic through attacker-controlled proxy.

Claude Code reads the MCP server URL from the config file on every load. It never re-validates that the URL matches the endpoint the user originally authorized.

WAF inspects HTTP traffic between clients and servers. It never sees a local config file rewrite.

EDR treats JSON file writes in the user’s home directory as normal developer behavior. Token rotation feeds the chain because the npm postinstall hook reasserts the malicious URL on every Claude Code load.

Query:

File integrity monitor on ~/.claude.json for MCP server URL changes.

Alert trigger:

MCP server URL changed to endpoint not on approved allowlist.

Escalation:

IR team confirms postinstall hook removal before closing ticket. Token rotation alone is insufficient.

Monitor ~/.claude.json for unexpected MCP endpoint changes against an allowlist.

Block or alert on npm postinstall hooks that modify files outside the package directory.

Maintain a centralized MCP server URL allowlist.

Do NOT assume token rotation breaks the chain without confirming the malicious hook is removed first.

Claude Code project settings

Adversa AI, May 7

Affects Claude, Cursor, Gemini CLI, Copilot

Project-scoped .claude configuration file in a cloned repository.

Clicking the generic “Yes, I trust this folder” dialog silently authorizes any MCP server defined in the project config. The dialog does not show what it authorizes.

No current security tooling can tell the difference between a legitimate project config and a malicious one.

In automated build pipelines, Claude Code runs without a screen. The attack executes with zero human interaction against pull-request branches.

Query:

Pre-clone scan for .claude, .claude.json, .mcp.json, CLAUDE.md files in repository root.

Alert trigger:

Repo contains MCP server definition not on approved organizational list.

Escalation:

DevSecOps reviews before any developer opens the repo in Claude Code or any coding agent.

Scan cloned repositories for .claude configuration files before opening in any AI coding agent.

Require explicit per-server MCP approval rather than blanket folder trust.

Flag repos that define custom MCP servers in project configuration.

Audit CI/CD pipelines running Claude Code headless where trust dialogs are skipped entirely.

The deputy changed

Norm Hardy described the confused deputy in 1988. The deputy he had in mind was a compiler. This one writes 17,000-line exploitation frameworks, identifies SCADA gateways on its own, and holds OAuth tokens to Jira, Confluence, and GitHub. Four research teams found the same failure class on four surfaces in the same week. Anthropic's response to each one was some version of "the user consented." The matrix above is the audit Anthropic has not built. If your team runs Claude Code or Claude in Chrome, start there.