Threat Modeling

Threat modeling is the practice of systematically identifying how a system could be attacked or misused, what damage could follow, and which safeguards should be built in before launch. For AI systems, it extends beyond traditional software risks to cover threats like prompt injection, where malicious text hidden in inputs manipulates a model into ignoring its instructions, and data poisoning, where tampered training data corrupts model behavior. Compliance and risk teams care about it because regulators and auditors increasingly expect documented threat models as evidence that an organization has anticipated foreseeable harms and acted on them.

1 item

ResearchGlobal2026-10-21

AI Helps Low-Skill Attackers Plan Industrial Control System Attacks at 90% Success

Security firm Frenos published research showing top AI models succeeded in about 90 percent of attack-planning attempts against industrial control and operational technology systems. The study ran 16,980 tests between October 2025 and September 2026. The findings show AI is compressing the time and skill needed to target critical infrastructure.

critical infrastructure OT security adversarial AI threat modeling Frenos industrial control systems