AI Agent Security Assessment
AI Agent Security Assessment
A scoped engineering assessment of one agent workflow, its authority and the controls needed for a pilot or launch decision.
View assessmentAI security consulting
TKOResearch reviews the architecture around LLM systems that can reach tools, data, credentials, memory, APIs, and production workflows. Use it when a launch, customer review, diligence process, or executive decision needs a clear technical basis.
Assessment options
AI Agent Security Assessment
A scoped engineering assessment of one agent workflow, its authority and the controls needed for a pilot or launch decision.
View assessmentMCP & Tool-Use Blast-Radius Review
A technical review of Model Context Protocol servers, clients, tools, tokens, and approval paths before broad rollout.
View assessmentRAG Security Assessment
A focused assessment for retrieval-augmented systems that need defensible isolation, authorization, and response-boundary controls.
View assessmentAI Coding Security Review
A focused review for teams using Cursor, Copilot, Claude Code, or other AI coding workflows with repository, CI/CD, secrets, or deployment access.
View assessmentIndependent technical risk review
Use this when a board, investor, acquiring team, enterprise customer, or executive sponsor needs a sober technical basis for architecture, security posture, vendor claims, or launch risk.
Provide a context/container sketch, deployment topology, key request sequences, data-flow and trust-boundary diagrams, identity model, dependencies, recovery targets and decision criteria. Label the version, environment and owner of each material; explain gaps rather than inventing diagrams.
Trace a consequential workflow through identity, data access, external dependencies, change controls, telemetry and recovery. For lab or physical-system integrations, identify the operator boundary and safety owner; no live equipment actuation is part of the default scope.
For each material claim, record its source, date, relevant configuration or observed check, contradictory information and confidence limits. Distinguish documentation review from runtime testing and unsupported assertions.
Connect risks to the actual decision: proceed with conditions, reduce integration scope, defer commitment or obtain further checks. Compare feasible options, operational tradeoffs and the cost of leaving a material question unanswered without inventing a financial estimate.
Assign owners and acceptance criteria to the risks that could change the decision. Agree separately on implementation and retesting, including the affected version, adjacent workflows and the date leadership should revisit the memo.
Initial intake uses redacted summaries through the contact form; detailed materials use an agreed channel. This is engineering decision support, not an audit opinion, legal or investment advice, certification, penetration test or assurance of every component. Production changes require separate authorization.
Ongoing advisory
Use a recurring relationship when one assessment is not enough: a fractional advisor for the operating team, or board advisory for oversight and decision preparation.
Board advisory and executive briefings
An independent advisory path for boards and executive teams that need recurring technical context—not only a one-time briefing—on AI systems, security posture, vendor claims, launch readiness, and material changes.
Discuss board advisoryFractional security and systems advisory
A recurring advisory relationship for startups and growing teams that need a Principal Engineer in the room for product security, AI-system decisions, customer review, and roadmap tradeoffs.
Discuss fractional advisory