AI Agent Security Use Cases: Start from the problem you need to solve.
HikmaAI combines assessment, runtime enforcement and governance, so teams can find weaknesses, block threats in production and produce evidence afterwards. Each use case shows where to start.
Where HikmaAI fits.
Secure AI agents in production
The Intelligent Gateway sits in the traffic path and inspects requests and responses in real time. It can allow, redact or block traffic before unsafe behavior reaches a model, tool, API or user, with no SDK or code change inside the agent.
Explore the platformSecure MCP and tool use
Find It tests MCP servers and skills before production. At runtime, HikmaAI inspects agent-to-MCP traffic at the gateway boundary, holds tool calls to an allow-list and contains an MCP server's blast radius.
Explore Find ItStop AI data leakage
Fix It redacts PII and sensitive data, prevents data leakage and controls egress before traffic leaves the boundary. Because HikmaAI runs inside your infrastructure, production data does not need to leave your perimeter.
Explore Fix ItGovern coding agents
Coding agents can send source code, prompts and internal documents from developer laptops straight to model providers. HikmaEdge routes supported coding-agent traffic through HikmaAI's runtime controls, configured centrally through MDM.
Explore HikmaEdgeProve AI compliance
Prove It records who or what acted, when, under which policy and with what result. Evidence maps to the EU AI Act, OWASP LLM Top 10, NIST AI RMF, ISO/IEC 42001 and your own internal policies.
Explore Prove ItSecure agentified SaaS and OEM products
Add agentic security to the product your enterprise customers already buy. Integrate HikmaAI as a security capability, co-branded as ‘Secured by HikmaAI’ or white-label, without building the full platform yourself.
Explore partnershipsBring your use case to a 30-minute demo.