AI introduces attack surfaces that traditional cybersecurity tools were not built to see: adversarial inputs, poisoned training data, model theft, and inference attacks. We assess, harden, and monitor AI systems so your agency can deploy with confidence.
Caplock Security brings together cybersecurity expertise and AI/ML engineering to protect the integrity of your AI-enabled capabilities, from development through live operations.
Trustworthy AI starts with security built in from the beginning.
What we do
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Model Security Assessments
Test adversarial robustness and identify exploitable weaknesses before deployment.
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Training Data Integrity
Detect and prevent data poisoning across your AI pipelines.
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AI Supply Chain Risk
Evaluate third-party models, libraries, and open-source frameworks.
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Secure AI Development Lifecycle
Embed security at every stage from design to deployment.
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Runtime Monitoring
Detect model drift, adversarial inputs, and anomalous outputs in production.
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AI Governance Frameworks
Aligned to NIST AI RMF, Executive Order 14110, and DoD AI Ethical Principles.
- NIST AI RMF
- EO 14110
- DoD AI Ethical Principles
- Adversarial ML
- Model Assurance
Let’s work together.
Talk to us about an upcoming requirement, a set-aside opportunity, or a teaming arrangement.