AI Security Posture Self-Assessment
Interactive scorecard mapping maturity across the seven surfaces.
Resources designed to spread the framework, capture high-intent buyers, and give practitioners useful artifacts for securing agentic systems.
Ungated at launch to maximize spread, citations, and branded search momentum.
A board-safe, practitioner-useful map for instruction, identity, context, tool, runtime, output, and egress risk.
Each asset routes a specific buyer or practitioner into the seven-surface operating model.
Interactive scorecard mapping maturity across the seven surfaces.
25 questions most TPRM programs are not asking about model providers, tools, data, and retention.
A book excerpt that introduces the core framework and points leaders toward assessment.
A scanner concept for MCP servers, exposed tools, broad scopes, and risky configuration patterns.
A policy template with operational controls most organizations leave out.
One sharp take, one framework, one recommendation for securing agentic systems.
Quarterly drops can pair with pillar content: MCP scanner, prompt injection benchmark, agent identity audit script, or red-team template.
Every download should deliver immediate utility first, then route to framework, article, and assessment content based on buyer intent.
The best resource shows which AI attack surfaces are currently unowned and why they require action.
Use the self-assessment to identify which AI attack surfaces are currently unowned.
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