Security Built for How AI Systems Actually Fail
Your AI systems make decisions and handle sensitive data. Traditional compliance frameworks were not designed for prompt injection, model theft, or data poisoning. This is security built for those failure modes, with compliance evidence that proves it.
- Timeline
- 4-8 weeks (AI security hardening); SOC 2 Type I readiness 8-12 weeks
- Team
- Security Architect · ML Security Engineer · Compliance Lead · DevSecOps Engineer
- Typical stack
- AI security tools (Lakera, Protect AI, Robust Intelligence); SAST/DAST for ML pipelines; model monitoring (Arize, WhyLabs); compliance automation (Vanta, Drata integration); SBOM generation for ML (SPDX, CycloneDX)
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
Selected work
Where teams use it
Healthcare
HIPAA compliance for patient data platform
Implemented PHI encryption at rest/transit, BAA templates, audit logging, and breach notification procedures achieving full HIPAA technical safeguards compliance
Finance
PCI-DSS compliance for payment processing
Deployed cardholder data tokenization, network segmentation, quarterly ASV scans, and annual penetration tests meeting PCI-DSS Level 1 requirements
Government
FedRAMP authorization for cloud services
Delivered SSP documentation, FIPS 140-2 encryption, ConMon integration, and POA&M tracker enabling FedRAMP Moderate ATO
What we need from you
- AI/ML system architecture documentation
- Model inventory and deployment configurations
- Current security policies and compliance requirements
- Access control matrix and API documentation
- Incident response procedures and audit timeline
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
Built for procurement
- Security audit deliverables: OWASP Top 10 report, SAST/DAST findings, penetration test results
- Compliance evidence: WCAG 2.1 AA audit report, remediation logs, accessibility test results
- SBOM artifacts: CycloneDX/SPDX format, license analysis, vulnerability-to-component mapping
- Remediation timeline: Critical CVE fixes (1 week), high-severity (2 weeks), compliance evidence (3-4 weeks)
- Framework alignment: OWASP, NIST CSF, CIS Controls, FedRAMP for government contractors
- Regulation support: HIPAA (healthcare), SOC 2 Type II (SaaS), PCI-DSS (payments), GDPR (EU data)
- Risk documentation: Accepted risk register, compensating controls, remediation roadmap