LIVE FEED
FIRST LOOK Microsoft Copilot Gains Local File Access via Hybrid Intelligence // FIRST LOOK AWS Adds Native Access Controls for RAG via Amazon Quick and Bedrock // HIGH DPRK npm Supply Chain Worm Uses Web3 C2 to Steal Cloud Keys // FIRST LOOK Rein Security Launches $25M Runtime Guard for AI Agents // HIGH APT Uses AI-Generated Lures in Google AitM Phishing on Taiwan // CRITICAL Tensorlake npm Package Hijacked by Shai-Hulud Worm // FIRST LOOK Meta Launches Open Standard to Authenticate AI Agents on the Web // FIRST LOOK Anthropic Launches 3-Tier Cyber Verification Program for AI Access // FIRST LOOK CrowdStrike Maps LLM Safety Classifier Evasion for Defenders // HIGH OpenAI Adds Training Monitors After Medicare Data Breach //
INDEPENDENT-EVALUATION

Independent-Evaluation

2 reports
All LLM Security Agentic AI Industry News Research First Look: Security Supply Chain Prompt Injection Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning Deep Signal Intelligence Report Monthly Review AI Governance AI Security AI Security Tools Identity & Access Management Security Operations
Anthropic Embeds Accenture as Its First Third-Party AI Safety Evaluator

Anthropic Embeds Accenture as Its First Third-Party AI Safety Evaluator

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 7.2 TechCrunch AI

Anthropic has launched its first embedded evaluator programme, placing Accenture staff inside the lab to conduct red-teaming, alignment assessments, and model safeguard testing with a five-year, $1 billion commitment. This closes a significant accountability gap by introducing continuous, independent scrutiny of AI models before and during deployment — moving beyond periodic external evaluations to persistent insider access. Key maturity questions remain: no industry standards yet govern evaluator access or communication protocols, and the choice of a commercial consultancy over specialist AI-safety research organisations raises questions about depth of technical coverage.

Anthropic and OpenAI Open Doors to Embedded Safety Evaluators

Anthropic and OpenAI Open Doors to Embedded Safety Evaluators

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 8.2 TechCrunch AI

Anthropic and OpenAI have proposed embedding independent third-party safety evaluators — including organisations like METR and Redwood Research — directly inside frontier AI companies, granting access to training checkpoints, post-training environments, and evaluation logs rather than only finished models. This closes a critical oversight gap: defenders and policymakers have historically had no mechanism to verify whether alignment claims made by AI labs actually held during training, leaving assurance entirely self-reported. Significant implementation detail remains unresolved, including scope of access, disclosure rights, and whether the arrangement will be codified in legislation or remain voluntary.

◉ AI THREAT BRIEFING

Stay ahead of the threat.

Twice-weekly digest of critical AI security developments — every story mapped to MITRE ATLAS and OWASP LLM Top 10. Free.

No spam. Unsubscribe anytime.