Capabilities
AI Security & Risk
AI introduces new attack surfaces, new compliance requirements, and new categories of operational risk. We build the security architecture and governance frameworks that let you deploy AI with confidence.
AI Attack Surface
Regulatory Posture
Model Access & Output
Operational Risk
Why This Matters Now
AI systems process sensitive data at scale with new categories of vulnerability
Regulatory frameworks for AI are solidifying — compliance requirements are not optional
A single AI security incident can destroy years of customer trust overnight
Organizations that build security into AI from day one avoid costly retrofits later
What We Deliver
Security and governance designed specifically for AI systems — not generic IT security applied to a new problem.
AI Threat Modeling
Identify and assess risks specific to AI systems — from prompt injection and data poisoning to model theft, output manipulation, and supply chain vulnerabilities.
Security Architecture
Design defense-in-depth security layers for AI infrastructure including access control, data encryption, audit trails, and zero-trust network architecture.
Compliance & Governance
Build frameworks that satisfy SOC 2, HIPAA, GDPR, and emerging AI-specific regulations with documented controls, monitoring, and continuous audit readiness.
Built for AI Risk Management
AI security requires layered controls across data, models, and organizational processes. Our framework ensures every surface is addressed — gaps in one layer cascade into production risk.
Data Security
- Encryption at rest and in transit
- Access control and authentication
- Data classification and labeling
- Audit trails and logging
- Zero data retention policies
- Secure data pipeline design
Model Security
- Prompt injection prevention
- Output validation and filtering
- Model access controls
- Inference endpoint hardening
- Supply chain verification
- Version control and rollback
Organizational Controls
- AI acceptable use policies
- Incident response procedures
- Vendor risk assessment
- Employee training and awareness
- Regulatory compliance mapping
- Continuous monitoring and alerting
Three Paths to Build the Future
Strategic guidance on AI security posture, risk assessment, and compliance planning for current and planned AI deployments.
Deliverables
- Advisory sessions
- No formal deliverables
Includes Advisory scope plus full security architecture, threat models, compliance mapping, and governance framework design.
Deliverables
- AI threat model
- Security architecture
- Compliance gap analysis
- Governance framework
- Risk register
- Remediation roadmap
End-to-end build including security controls deployment, monitoring setup, compliance tooling, and production hardening.
Deliverables
- Deployed security controls
- Monitoring and alerting
- Compliance documentation
- Production-hardened AI systems
Ready to Secure Your AI Systems?
The cost of AI security done right is a fraction of the cost of a breach. Let's build it in from the start.
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