Design intelligent security control planes for infrastructure, applications, AI systems, and prompts.
Provided by Kevin P., Solutions Architect - Infrastructure and Operations Transformation — Senior Network SME Collaboration, Cybersecurity, DEVOPS
Build a customized AI security system that acts as an intelligent MCP-enabled control layer across your environment. The solution can correlate signals from the physical layer through networks, infrastructure, applications, identities, AI models, tools, and prompts.
Scope • Map critical assets, data flows, trust boundaries, and AI use cases • Design monitoring across relevant OSI layers and application services • Apply prompt access controls, injection defenses, and data-leakage safeguards • Define model, agent, tool, and MCP permission boundaries • Establish resource, usage, and cost guardrails • Integrate telemetry, detection logic, alerts, and escalation workflows Deliverables • Target AI security architecture and control matrix • Monitoring and telemetry design • Prompt security and AI data-loss prevention policies • Resource-governance guardrails • Detection and alerting use cases • Integration roadmap, validation plan, and administrator handover
AI security architecture and MCP control-plane design; full OSI-layer monitoring strategy from physical and network through application; telemetry and detection use cases; prompt access control and policy enforcement; prompt-injection and data-leakage safeguards; AI data-loss prevention controls; model and tool permission boundaries; resource and cost governance guardrails; alerting and escalation workflows; integration roadmap; validation plan; administrator handover.
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