All news with #ai red teaming tag

🔍 Anthropic's Claude Mythos — developed under Project Glasswing and currently trialed by select organizations — faces scrutiny after VulnCheck's analysis found limited publicly attributable results. The team identified 75 CVE entries mentioning Anthropic, 40 credited to its researchers, but only one explicitly tied to Glasswing (CVE-2026-4747), with several additional findings embargoed. Anthropic has signaled more transparency in July 2026. Security experts caution that Mythos' reported exploit success rates could still accelerate attacker capabilities and outpace corporate change controls.

🔍 Forescout’s Verde Labs reports rapid progress across commercial, open-source and underground AI models in vulnerability research and exploit generation. In 2026 the firm found all tested models could complete end-to-end vulnerability research and about half could autonomously produce working exploits; top performers included Claude Opus 4.6 and Kimi K2.5. Using single prompts, the RAPTOR agentic framework and Verde Labs’ extensions, researchers discovered four zero-days in OpenNDS, demonstrating a lower barrier to discovery and a growing risk for organizations.

🔍 Anthropic announced a restricted release of Claude Mythos Preview, an AI claimed to find and weaponize software vulnerabilities at unprecedented scale, and limited access to roughly 50 organizations under Project Glasswing. The company highlighted thousands of flaws across major operating systems and browsers, including decades-old bugs and a set of 181 usable Firefox attacks, far beyond its prior model's performance. Yet the disclosure omits key metrics—false-positive rates, unfiltered outputs, and broad audit access—raising concerns that withholding a powerful tool is not a substitute for transparency, independent review, and funded access for domain experts.

🔊 A new platform called ATHR automates telephone-oriented attacks by combining AI voice agents and optional human operators to carry out vishing campaigns and harvest credentials across services including Google, Microsoft, and major crypto platforms. Researchers at Abnormal say ATHR bundles email templates, spoofing, WebRTC/Asterisk routing, and per-target customization into a dashboard that controls distribution, calls, and logging. The service is marketed on underground forums for $4,000 plus a commission and greatly lowers the skill barrier for attackers.

🛡️ OpenAI has unveiled GPT-5.4-Cyber, a variant of its flagship GPT‑5.4 tuned for defensive cybersecurity use cases, and expanded its Trusted Access for Cyber (TAC) program to include thousands of authenticated individual defenders and hundreds of security teams. The company says the model is intended to help teams find, validate, and fix vulnerabilities faster while it iteratively strengthens safeguards to reduce dual‑use risks and resist jailbreaks and adversarial prompt injection. OpenAI highlighted its Codex Security agent, which it credits with contributing to the remediation of over 3,000 critical and high vulnerabilities, and framed the release as part of a broader shift toward continuous, developer‑integrated security feedback.

🔐 The UK’s AI Security Institute (AISI) evaluated Anthropic’s Claude Mythos Preview and found it can autonomously discover and exploit vulnerabilities in controlled tests when given network access. In a 32‑step simulated corporate attack the model completed the full sequence in 3 of 10 runs and averaged 22 of 32 steps, though performance varied. AISI stresses these cyber ranges are easier than real environments and recommended organisations strengthen basics — timely patching, robust access controls, secure configuration and comprehensive logging — while also exploring AI to bolster defensive capabilities.

⚠️A new Cloud Security Alliance (CSA) briefing warns that Anthropic's Claude Mythos (Preview) marks a structural shift in cybersecurity. The model can autonomously discover and exploit thousands of vulnerabilities and orchestrate attacks at speeds that compress discovery-to-weaponization from weeks to hours. The paper — informed by leading security figures — says Mythos is not an outlier and urges CISOs to build Mythos-ready programs, harden fundamentals, and elevate the issue to the board.

🔍 Anthropic's new Claude Mythos Preview and its Project Glasswing effort have focused industry attention on AI-driven cyberattack capabilities. Anthropic says it will not release the model publicly, citing the risk that it can automatically generate operational exploits, and is running the model against public and proprietary code to find and patch vulnerabilities before they can be weaponized. The announcement produced substantial PR impact, prompting rival vendors to echo similar caution. Security observers note defenders still hold an advantage—finding flaws is easier than turning them into attacks—but that margin is shrinking as models improve.

🔍 Anthropic has launched Project Glasswing, an initiative that uses Claude Mythos Preview to autonomously locate and remediate undiscovered cybersecurity vulnerabilities in critical software. The private model — described by Anthropic as highly capable for coding and agentic tasks — was tested with launch partners including AWS, Google and Microsoft and reportedly found thousands of previously unidentified zero-day flaws. Anthropic committed up to $100m in usage credits and $4m in donations to support open-source security while keeping Mythos Preview restricted to defenders with guardrails.

🔐 Anthropic launched Project Glasswing to apply a preview of its frontier model, Claude Mythos, to find and help remediate security vulnerabilities in critical software. The company says Mythos Preview has already identified thousands of high‑severity zero‑day flaws and autonomously developed complex exploits in testing. Access is restricted to a small set of vendors and foundations due to abuse risks. Anthropic committed significant usage credits and donations to support coordinated defensive patching while acknowledging prior operational leaks and the risk that the same capabilities could be misused.

🔎 Anthropic's Project Glasswing uses Claude Mythos Preview to autonomously hunt software vulnerabilities and is being offered to a closed consortium of more than 40 organizations, including Amazon, Microsoft, Apple, Google and the Linux Foundation. Anthropic says early tests found thousands of high-severity flaws across operating systems, browsers, and other widely used software, including an allegedly 27-year-old OpenBSD bug. Security leaders warn the development could upend bug-bounty economics, push security upstream, shorten exposure windows, and raise dual-use control questions.

🛡️ At Nutanix .NEXT 2026, Palo Alto Networks highlighted an expanded integration delivering native, automated security across Nutanix environments and was named Nutanix 2026 Global Security Partner of the Year. The partnership extends Layer‑7 protection via VM‑Series virtual firewalls, consistent hybrid cloud policies for Nutanix Cloud Clusters (NC2), and Panorama-driven automation. A forthcoming integration embeds Prisma AIRS into Nutanix Enterprise AI (NAI) to enforce AI Model Security, continuous AI Red Teaming, and unified visibility so only validated models reach production.

🔒 Amazon Bedrock now offers Claude Mythos Preview in a gated research preview as part of Project Glasswing. Anthropic's most advanced model to date demonstrates state-of-the-art capabilities across cybersecurity, software coding, and complex reasoning, identifying sophisticated vulnerabilities and showing exploitability in large codebases with less manual guidance. Access is limited to an allow-list in US East (N. Virginia) through Bedrock; AWS account teams will contact approved organizations.

🔧 The Apache Spark troubleshooting and upgrade agents for Amazon EMR are now available as Kiro powers, providing one-click, AI-assisted Spark operations directly in the Kiro IDE. The troubleshooting power identifies root causes by analyzing logs, metrics, and configurations across EMR on EC2 and EMR Serverless, and offers targeted PySpark code recommendations. The upgrade power automates Spark version migrations—including code transformation, dependency resolution, remote validation, and data quality comparison—compressing upgrades from months to weeks. Both powers connect via MCP Proxy for AWS with IAM role-based authentication and record actions in AWS CloudTrail; they are available in all AWS commercial regions.

🔎 Researcher Hung Nguyen used simple prompts with Anthropic’s Claude Code to rapidly discover zero-day remote code execution flaws in Vim and GNU Emacs, showing that legacy codebases can be probed far faster by advanced LLMs than by conventional fuzzing. Within minutes Claude Code located missing security checks and generated proof-of-concept exploit ideas, prompting a quick patch for Vim (CVE-2026-34714). Emacs' maintainers declined to treat the finding as an Emacs bug, pointing to Git and leaving suggested manual mitigations for affected releases. The episode highlights both the power of AI-assisted research and the attendant risks of simpler exploit development.

🔒 Palo Alto Networks today introduced Prisma AIRS 3.0, a unified security platform designed to secure the emerging AI enterprise and agentic systems across cloud, SaaS, endpoints and browsers. The release emphasizes three pillars—Discover, Assess, Protect—expanding visibility from AI applications to live maps of enterprise agents and surfacing shadow AI. New capabilities include Agent Artifact Scanning, multiagent red teaming, an AI Agent Gateway for centralized policy enforcement, and agent identity controls to govern delegated access. Palo Alto positions the platform as a single control plane to replace point solutions and manage agent-specific runtime threats.

🛑 Google will no longer accept AI-generated bug reports for the Open Source Software Vulnerability Reward Program it funds, citing a rising number of low-quality submissions that often contain hallucinated exploit paths or issues with minimal security impact. To reduce triage overhead, some reward tiers will now require higher-quality proof such as an OSS-Fuzz reproduction or a merged patch. Google says this will help teams focus on high-impact, verifiable vulnerabilities. Separately, the company is contributing to programs that use AI constructively to strengthen open-source security.

🔍 Microsoft introduces CTI-REALM, an open-source benchmark that evaluates AI agents on end-to-end detection engineering by turning real-world cyber threat intelligence into validated detections. The benchmark places agents in realistic, tool-rich environments where they must read CTI reports, explore telemetry, iterate on KQL queries, and produce Sigma rules and KQL-based logic scored against ground truth across Linux, AKS, and Azure. CTI-REALM's checkpoint-based scoring surfaces whether failures arise from CTI comprehension, technique mapping, data-source selection, or query construction, helping teams decide where human oversight and guardrails are required.

🤖 Between January and February 2026, AI-assisted malware development matured from experimentation into operational capabilities that materially change attack economics. What once required coordinated teams can now be executed by a single experienced developer using an AI-powered IDE, accelerating weaponization, iteration, and delivery of attacks. Enterprise productivity and development tools have become enlarged attack surfaces, while automation and agentic workflows enable faster, more evasive intrusion chains. Defenders must shift toward behavior-based detection, robust telemetry, and secure development and supply chain controls.

⚠️ Unit 42 demonstrates a genetic-algorithm-inspired prompt-fuzzing technique that automatically generates meaning-preserving variants of disallowed requests to evaluate LLM guardrails. Their experiments show evasion rates vary widely by keyword and model, with some combinations yielding high, operationally meaningful success rates. They recommend treating LLMs as probabilistic boundaries, applying layered controls, continuous adversarial testing, and using tools like Prisma AIRS and Unit 42 assessments to strengthen defenses.