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cs.CR2026
SecDrift: Measuring Sector-Conditioned Security Drift in AI-Generated Code
Narayanaswami Natraj Bharadwaj, Dhivya Chandramouleeswaran
LLMs are increasingly used for code generation in critical infrastructure, yet the security effect of domain-specific prompting is understudied. We present SecDrift, a benchmark me…
cs.CR2025
ACSE-Eval: Can LLMs threat model real-world cloud infrastructure?
Sarthak Munshi, Swapnil Pathak, Sonam Ghatode +3
While Large Language Models have shown promise in cybersecurity applications, their effectiveness in identifying security threats within cloud deployments remains unexplored. This…