Continuously test AI models and applications against realistic adversarial attacks. Identify weaknesses early and validate fixes through repeatable assessments.
AI models and applications need security testing that reflects how adversaries actually manipulate AI behavior. PointGuard AI automates red teaming and scanning so teams can identify weaknesses earlier and validate that AI systems are ready for deployment.
The AI environment creates several recurring security and governance challenges:
PointGuard AI provides a comprehensive solution for continuously probing models and applications with adversarial tests:
1. Scan AI assets. Use AI Red Teaming to assess models and connected applications for vulnerabilities, embedded malware, weaknesses, and other integrity risks.
2. Simulate adversarial attacks. Run automated tests for prompt injection, jailbreaks, unsafe behavior, bias, toxicity, and other AI-specific threat conditions.
3. Measure failures. Identify responses that violate security, safety, or trust expectations and prioritize the weaknesses that require remediation.
4. Retest after changes. Repeat adversarial testing as models, prompts, applications, and controls evolve to verify that fixes remain effective.
Continuous red teaming turns AI security testing into a repeatable engineering control rather than a one-time assessment.
Applicable framework risks and controls include: