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LLM agent self-reporting is dangerously unreliable for security assessments, diverging from actual execution traces in up to 100% of critical actions, demanding a shift towards trace-based auditing.
Securing LLM supply chains requires cryptographically binding training and release claims to artifacts, enabling verifiable enforcement of security policies across teams and stages.
Current telemetry falls woefully short in detecting advanced software supply chain attacks, with even the best single source capturing less than 40% of the attack chain, underscoring the critical need for multi-source data fusion.
