A structured, hands-on assessment of your AI application's attack surface—from architecture and data flow to agent permissions and cloud identity boundaries.
Most AI security reviews stop at the model layer. The incidents that matter—the ones that expose sensitive data or let an attacker move laterally into cloud infrastructure—happen because of what the AI can reach. This assessment covers the whole chain: prompt injection, retrieval abuse, agent over-permission, cloud IAM boundaries, and data exposure.
Map the full system: LLM, agents, tools, APIs, retrieval pipeline, data sources, and cloud services. Understand the trust boundaries before any testing begins.
Hands-on testing of the model layer and any agents or tools it controls. Focus on what an attacker can cause the system to do, not just what it reveals.
Retrieval-augmented systems introduce data-access boundaries the application must enforce. Test whether they do.
AI agents that can reach cloud APIs, storage, or databases must have scoped, least-privilege identities. This review confirms they do—or identifies where they don't.
Technical controls matter, but so does the governance layer: policies, risk classification, third-party model risk, logging, and monitoring.
Discovery
Architecture review, questionnaire, and access scoping. Map the full system and agree on test targets before any testing begins.
Testing
Hands-on assessment across the agreed scope: LLM, agents, RAG, cloud IAM, and governance. Real testing, not just review of documentation.
Report & Roadmap
Technical findings, risk register, executive summary, and a prioritized remediation roadmap delivered in writing with a readout walkthrough.
Remediation Support
Optional. Direct implementation support on cloud IAM, agent configuration, data-permission controls, and policy changes found during the assessment.
Retest
Confirm that remediations hold. Retest the identified findings and deliver a close-out report documenting what changed.
Quarterly Reassessment
AI applications evolve. Quarterly assessments keep the risk picture current as models, agents, and integrations change.
No pricing on the intake form. Once I understand your environment and scope, I'll send a proposal directly.
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