Attack Simulation

AI red-team testing for AI systems before launch and in production.

Business impact

• adversarial queries per evaluation session — NAVER reported 10,000 adversarial queries per evaluation session.

Data requirements

• adversarial queries (text) — Used to probe AI systems for unsafe or vulnerable responses.
• AI model behavior and outputs (text) — Observed during evaluation and runtime monitoring.
• AI assets inventory (tabular) — Used to identify models, applications, and services across environments.

AI methods and techniques

• red-team queries — Used by NAVER to probe for dangerous responses and vulnerabilities.
• AI attack simulation — Used by NetRise to simulate real-world attacks such as prompt injection, jailbreak attempts, and model manipulation.
• adversarial testing — Used to validate model resilience before deployment and uncover vulnerabilities early.
• continuous monitoring — Used after deployment to observe model behavior and identify suspicious activity.

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: Naver, NetRise.