Assess, architect, red-team, and govern agentic systems before they become your largest unowned attack surface.
Each engagement maps to one or more of the seven surfaces and produces executive-ready evidence plus technical remediation detail.
Risk reduced: unknown agent exposure.
Deliverable: seven-surface attack map, control gaps, prioritized remediation roadmap, and board-ready summary.
Risk reduced: unsafe identity, tool, runtime, and governance design.
Deliverable: reference architecture, guardrail spec, and operating model.
Risk reduced: prompt injection, tool abuse, data leakage, and unsafe automation.
Deliverable: exploit narratives, evidence, and remediation plan.
Risk reduced: policy theater and regulatory exposure.
Deliverable: governance model, risk taxonomy, NIST AI RMF / ISO 42001 alignment, and policy set.
Risk reduced: exposed tool paths and over-scoped model context servers.
Deliverable: MCP inventory, scope review, exploit paths, and hardening guidance.
Risk reduced: unclear fiduciary and operating accountability.
Deliverable: board-ready briefing, risk narrative, and decision agenda.
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 a 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.
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.
