IMS helps enterprises discover, map, test, and govern agentic systems before delegated action becomes the largest unowned attack surface in the company.
Each engagement produces executive-ready evidence plus technical remediation detail. Every offer maps directly to the seven-surface agent perimeter.
Inventory your AI estate, map every high-value workflow to the seven attack surfaces, identify unowned controls, and produce a board-ready remediation roadmap.
Design agent identity, context provenance, tool gates, runtime boundaries, logging, and egress controls before scale.
Design safely →Test prompt injection, tool abuse, sensitive-data leakage, unsafe autonomy, and context-to-action exploit chains.
Test agents →Assess model-context servers, plugin scopes, API tools, shell/browser access, and action gates for over-delegated authority.
Audit tooling →Replace policy theater with operating controls aligned to NIST AI RMF, ISO 42001, security ownership, and audit evidence.
Build governance →Translate agent risk into fiduciary language: decisions, funding, accountability, residual risk, and operating cadence.
Brief leadership →A security program for agents has to move from inventory to proof. IMS works in short, evidence-producing sprints.
Inventory AI systems, vendors, agents, RAG pipelines, MCP servers, tool scopes, owners, and business workflows.
Place every workflow on the seven-surface model and identify where controls are missing, ambiguous, or unowned.
Probe high-risk systems with adversarial scenarios: indirect prompt injection, tool abuse, data leakage, and identity misuse.
Separate existential risk from noise. Build the roadmap by blast radius, likelihood, regulatory exposure, and business criticality.
Deliver board-ready language, technical evidence, and the operating decisions leadership must make.
You leave with a map, a control plan, and a language your CISO, CIO, CAIO, board, and engineering leaders can share.
Every engagement is designed to create artifacts that survive the meeting: proof, priorities, owners, and decisions.
Agents, copilots, vendors, RAG stores, MCP servers, tool scopes, and production workflows.
Instruction, identity, context, tool, runtime, output, and egress exposure by business workflow.
Prompt-injection chains, tool-abuse paths, leakage opportunities, and failed control assumptions.
Owner, priority, dependency, effort, and risk-reduction rationale for every remediation.
Board-safe language for risk acceptance, funding, operating cadence, and residual risk.
If your enterprise has agents, copilots, MCP servers, or AI vendors in production, the first question is not which tool to buy. It is where the perimeter is.
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