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Results show that lifecycle-aware SCA supports traceable component provenance and more accurate software supply-chain risk assessment and SCA-Agent, an agent-based approach to lifecycle-aware SCA that reconstructs evidence-backed component lifecycle traces across Code, Build, Release, Deploy, and Runtime.
MemArbiter closes the Memory-Action Gap, boosting LLM decision-making success rates by over 20% in long-horizon tasks.
Bulkhead reveals that automated semantic detection can dramatically reduce the cost and complexity of securing container environments against pervasive path traversal vulnerabilities.
