AI Security
Secure AI Systems Before They Are Exploited
DMF Cyber Security helps enterprises, startups, and government teams identify AI-specific risks across models, applications, data pipelines, and integrations. We assess exposure, strengthen controls, and support safer AI adoption.
Coverage
What Our AI Security Assessments Cover
Our approach focuses on practical risk reduction across the AI lifecycle, from model selection and prompt handling to deployment architecture and governance.
Model Risk Review
Evaluate model behavior, misuse scenarios, unsafe outputs, and exposure to adversarial manipulation or prompt-based abuse.
Application Security
Assess AI-enabled applications, plugins, APIs, and orchestration layers for insecure integrations, excessive permissions, and data leakage paths.
Data Protection
Review training, retrieval, and inference data flows to reduce the risk of sensitive data exposure, poisoning, and unauthorized retention.
Governance Controls
Strengthen policies, access controls, logging, vendor oversight, and human review processes to support secure and accountable AI operations.
Use Cases
Where AI Security Matters Most
We help organizations secure high-impact AI deployments where weak controls can create operational, legal, and reputational risk.
