AI Red Teaming &
Security Testing
Secure Your AI Systems. Strengthen AI Security. Deploy AI with Certainty.
AI technologies bring
powerful capabilities but introduce security risks that traditional testing
often misses. Prompt injection, data exposure, model manipulation, and agent
misuse create new attack surfaces, further amplified in agentic AI environments
through risks like memory poisoning, tool misuse, multi-agent trust boundary
violations, and MCP integration vulnerabilities.
Ampcus Cyber helps
organizations address these risks through structured AI Red Teaming and
Security Testing. Our specialists simulate real-world adversarial attacks
across AI models, GenAI applications, and agentic systems to uncover
vulnerabilities, unsafe behaviors, and exploit paths. Our approach aligns with frameworks
such as OWASP Top 10 for LLM Applications (2025) and MITRE ATLAS to
ensure comprehensive threat coverage.
Beyond conventional
assessments, we deliver actionable insights, risk-based prioritization, and
security validation, enabling organizations to deploy trustworthy AI systems
while meeting regulatory requirements such as the EU AI Act, NIST AI RMF, and
ISO/IEC 42001.


