Identify Vulnerabilities Across AI Systems and Infrastructure

AI introduces new attack surfaces that traditional security testing often overlooks.

Our AI Security Testing evaluates the security of AI applications, models, APIs, integrations, and supporting infrastructure.

Testing Areas
  – AI application penetration testing
  – Model security evaluation
  – API security testing
  – Data poisoning assessment
  – Model extraction testing
  – Inference abuse testing
  – Access control validation
  – Infrastructure security review

Benefits

UNCOVER AI-SPECIFIC VULNERABILITIES
Identify weaknesses unique to AI environments.

VALIDATE SECURITY CONTROLS
Confirm protections are functioning as intended.

REDUCE ATTACK SURFACE
Strengthen defenses before adversaries exploit weaknesses.

Deliverables
  – Technical assessment report
  – Executive risk summary
  – Exploitation findings
  – Remediation guidance
  – Security improvement roadmap