What untrusted inputs can influence the agent?
Technology / Agentic AI
AI Agent Security Assessment
Assess prompt-injection exposure, agent identity and authority, tool permissions, sensitive-data access, external actions, and the controls limiting an agent's blast radius.
01 / THE REVIEW QUESTION
Start with the system, data, and decision—not a generic checklist.
AI agents combine model behavior with software authority. NIST's 2026 work highlights risks from indirect prompt injection and the need to address agent identification, authorization, auditing, and access to sensitive tools and data.
02 / Questions to answer
What a useful assessment should establish.
Which tools, data stores, credentials, and applications can it access?
What actions can it take without human confirmation?
Are agent identity, authorization, logging, and non-repudiation controls adequate?
03 / Assessment scope
What Ayliea examines.
Exact procedures are confirmed in writing before work begins. Technical testing is performed only when explicitly scoped and authorized.
01Agent architecture and trust-boundary mapping
02Direct and indirect prompt-injection exposure
03Tool, API, identity, and authorization review
04Sensitive-data and external-action paths
05Logging, containment, and incident-response readiness
04 / OUTPUT
Evidence and findings another reviewer can follow.
The deliverable separates what was observed or supplied from what was represented, unavailable, untested, or outside scope. That keeps the conclusion useful without overstating what the evidence proves.
Agent attack-surface map
Evidence-backed security findings
Abuse paths and affected assets
Prioritized remediation
NIST/industry references and limitations
05 / PRIMARY SOURCES
Built around the requirements and guidance that actually matter.
06 / SCOPE THE WORK
Have a real system or review question in mind?
Bring the AI system, the data it touches, the review trigger, and the evidence you already have. Ayliea will determine whether a Review, Assessment, or broader scope fits.