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CRITICAL DeepSeek AI Agent Weaponised in Proxyjacking Attack on Security Firm // CRITICAL CVE-2026-44827: Hugging Face Diffusers RCE Bypasses Trust Gate // FIRST LOOK Sprocket Launches AI Agent for Hardware and Software Dev // FIRST LOOK OpenAI Astra Model Solves 10 Open Math and CS Problems // FIRST LOOK CrowdStrike Falcon AIDR Adds Coverage for Copilot Studio and Claude Code // FIRST LOOK LLM CLI Tool Adds OpenAI Endpoint Command for Any AI Backend // FIRST LOOK Google Expands Gemini AI Agents Across Chrome Vulnerability Pipeline // CRITICAL Claude Hacked 3 Organizations in Misconfigured AI Security Tests // HIGH OpenAI Rogue Model Compromises Modal and Other Services // FIRST LOOK Microsoft Copilot Super App Merges Chat, Code, and Agents //
AI Widens Skill-Ability Gap, Enabling Autonomous Cyberattacks

AI Widens Skill-Ability Gap, Enabling Autonomous Cyberattacks

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Schneier on Security

A Five Eyes joint advisory and Bruce Schneier's analysis highlight how AI systems are dramatically lowering the barrier to sophisticated cyberattacks by decoupling skill from ability. Open-source and frontier models can autonomously execute network intrusions, ransomware deployment, and data theft with minimal user expertise. The piece argues that guardrails from major AI vendors are insufficient, as uncensored open-source models circulate freely and continue to improve.

OpenAI Expands ChatGPT Into Family and Caregiver Households

OpenAI Expands ChatGPT Into Family and Caregiver Households

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 TechCrunch AI

OpenAI is building dedicated family-oriented product experiences for ChatGPT, targeting parents, caregivers, and older adults as adoption among users aged 35 and older accelerates. This household expansion introduces a high-value, trust-sensitive attack surface where vulnerable populations — including minors and elderly users — interact with AI systems that were not originally designed with their safety profiles in mind. Security teams and child-safety advocates should anticipate increased adversarial interest in manipulating family-mode guardrails, extracting parental oversight credentials, and exploiting the trust asymmetry between caregivers and AI-mediated household experiences.

Anthropic Releases Mythos and Fable Models with Global Access

Anthropic Releases Mythos and Fable Models with Global Access

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.8 TechCrunch AI

The US government has lifted export restrictions on Anthropic's Mythos and Fable models, restoring broad international access to what are described as the most capable AI models publicly available, with Mythos specifically noted for its advanced ability to identify and exploit software vulnerabilities. Defenders must now contend with a significantly wider pool of threat actors — including foreign nationals and nation-state-affiliated researchers — who can access a model with documented offensive security capabilities. The policy reversal also introduces regulatory uncertainty that complicates enterprise risk assessments, as organizations cannot rely on stable governance signals to calibrate their AI security postures.

Anthropic's Mythos 5 and Fable 5 Hit by Export Block

Anthropic's Mythos 5 and Fable 5 Hit by Export Block

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 TechCrunch AI

The Trump administration's overnight export block of Anthropic's Mythos 5 and Fable 5 models — triggered by reported safety guardrail bypass vulnerabilities flagged by Amazon — has exposed the fragility of international AI supply chains built on U.S.-controlled infrastructure. For defenders, this event crystallises a critical dependency risk: organisations and governments that have embedded American AI models into critical systems now face the possibility of abrupt, unexplained access revocation with no remediation path. Security teams must now treat AI vendor access continuity as a threat vector equivalent to a third-party SaaS outage, and accelerate contingency planning around model substitution and sovereign alternatives.

Anthropic Ships Claude Fable 5 with Exploit Generation

Anthropic Ships Claude Fable 5 with Exploit Generation

FIRST LOOK ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 8.7 Wired Security

Anthropic's Mythos 5 and Claude Fable 5 represent the arrival of frontier AI models with demonstrated, advanced vulnerability discovery and exploit-development capabilities — a capability class that will rapidly proliferate across multiple vendors and open-weight releases. The core attack surface is not model-specific: guardrail bypass of the consumer-facing Fable 5 exposes full Mythos-grade offensive capability to any actor who can defeat the content filters, while the broader proliferation trajectory means defenders must assume adversary access to equivalent capabilities within months. The regulatory response addresses a single vendor while doing nothing to raise the floor for the broader ecosystem of competitive and open-weight models following close behind.

Claude Mythos Generates Working Exploits for Firefox, Windows

Claude Mythos Generates Working Exploits for Firefox, Windows

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 SecurityWeek

Anthropic's Claude Mythos Preview model demonstrated the ability to generate functional proof-of-concept exploits targeting known Firefox and Windows vulnerabilities within minutes to hours, compressing the traditional patch gap window dramatically. Testing also revealed that public Anthropic models with safety guardrails disabled could produce working exploits, though at a lower success rate than Mythos. The findings underscore how frontier LLMs are shifting the threat landscape for unpatched N-day vulnerabilities by automating and accelerating exploit development previously bottlenecked by scarce reverse engineering expertise.

CrowdStrike Red Teaming: LLM Jailbreak and Data Poisoning

CrowdStrike Red Teaming: LLM Jailbreak and Data Poisoning

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 SecurityWeek

Joey Melo, Principal Security Researcher at CrowdStrike, outlines his methodology for AI red teaming, focusing on manipulating LLM guardrails through jailbreaking and data poisoning without altering underlying source code. His work, rooted in competitive AI hacking challenges, translates classical adversarial thinking into the emerging field of machine learning security. The profile highlights the growing professionalisation of AI red teaming as organisations seek to harden LLM deployments against real-world manipulation attacks.

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