97% of Organizations Experienced an AI Security Breach in 2023. Compliance Alone Didn't Stop It.
Your AI systems process sensitive data, make critical decisions, and interact with customers. Traditional compliance frameworks weren't designed for prompt injection, model theft, or data poisoning attacks. You need security built for AI, and compliance that proves it.
What you get
- AI threat assessment: prompt injection, model theft, data poisoning vulnerability analysis
- LLM security hardening: input validation, output filtering, jailbreak protection
- Model access controls: RBAC, API key management, usage monitoring
- AI-specific SBOM: model lineage, training data provenance, dependency tracking
- Compliance mapping: SOC 2, ISO 27001, HIPAA, NIST AI RMF alignment
- Continuous monitoring: anomaly detection, drift monitoring, incident response
- Audit evidence pack: security controls documentation, penetration test results, compliance artifacts
Outcomes
- AI-specific vulnerabilities identified and mitigated
- Zero critical findings in AI security assessment
- SOC 2 + NIST AI RMF compliance evidence delivered
- Continuous monitoring and alerting operational
- Full audit trail for AI system decisions
Proof points
- AI threat assessment report with remediation roadmap
- Penetration test results for AI endpoints
- Compliance mapping to SOC 2, ISO 27001, NIST AI RMF
- Model security controls documentation
- Continuous monitoring dashboard with alerting
- Audit evidence pack with control attestations