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HikmaAI

Real-Time Agentic Security for AI Agents: One AI security platform to find risk, enforce protection and prove what happened.

Protect supported AI traffic across agents, models, MCP servers and tools. Run every HikmaAI capability inside your infrastructure, including in air-gapped environments. No external services required.

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HikmaAIAI SECURITY PLATFORMUsersAI agentsWorkstationagentsLLM APIsMCP serversInternalAPIsToolsFind ItAssessment Engine1Fix ItRuntime Engine2Prove ItGovernance Engine3One gatewayNo SDKSelf-hostedContinuous loopHikmaAI platform: users, AI agents and workstation agents route through one gateway where the Assessment, Runtime and Governance engines run Find It, Fix It and Prove It, before reaching LLM APIs, MCP servers, internal APIs and tools.

Three engines. One continuous loop.

Find ItAssessment Engine

Adaptive, out-of-band testing that attacks agents, models, MCP servers and skills the way a real adversary would.

Explore Find It

Fix ItRuntime Engine

The Intelligent Gateway sits in the live traffic path and applies security controls before protected calls reach their destination.

Explore Fix It

Prove ItGovernance Engine

Per-agent policy, budget controls, identity context and audit evidence built from what the platform actually observed and enforced.

Explore Prove It

One gateway for protected AI traffic.

Protected agent-to-model, agent-to-tool and MCP interactions that route through HikmaAI share a common enforcement boundary inside your infrastructure.

Built to fit the stack you already have.

1

Risky interaction

A protected agent receives manipulated input and attempts an unapproved tool or endpoint.

2

Protection

Runtime evaluates the interaction against firewall, tool and egress policy before it completes.

3

Evidence

Governance records the policy decision and outcome; Assessment can re-test the weakness after the policy changes.

Representative supported flowTechnical benchmark observations: observed maximums were 30 ms for non-ML controls and 120 ms for ML inspection. These are separate measurements, not a universal latency guarantee.

No SDK

Route traffic through the gateway. Do not embed another security library into every agent.

Standard protocols

Connect over the interfaces your systems already expose, including standard HTTP and model-compatible endpoints.

Model agnostic

Protect traffic to frontier models, open-weight models and internal model APIs.

Self-hosted by design

Run every HikmaAI capability inside client infrastructure, including air-gapped environments. No external services required.

One operating model

Bring assessment findings, runtime records, policy and assessment-backed HikmaScore results into the same workflow.

Continuous loop

Find the issue, enforce the fix, then re-test to verify that the control actually works.

LIVE CONTROLS
20+
LOC IN AGENTS
0
LANGUAGES
11
SUPPORTED
AIR-GAPPED

Self-hosted by default.

HikmaAI runs inside your infrastructure and connects to existing AI systems over standard HTTP. Production traffic is routed through the Intelligent Gateway while assessment runs out of band; no SDK, library or code change is required inside the agent. For sovereign environments, HikmaAI can operate fully air-gapped, so prompts, model traffic and sensitive data do not need to leave your perimeter.

What it needsAn endpoint for the protected AI system, appropriate credentials and routing to the gateway. Where MCP is used, tools are discovered automatically.
InfrastructureRequirements vary by environment and deployment size, so they are set during technical onboarding.
Works withStandard HTTP and REST endpoints, OpenAI-compatible model APIs, MCP clients and servers, LangGraph, OpenAI Agents SDK, LiteLLM, AWS Bedrock, Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini, and open-weight and self-hosted models.
Coding agentsClaude Code, Codex, Gemini CLI and Cursor, through HikmaEdge.
Maps toEU AI Act, OWASP LLM Top 10, OWASP Agentic AI Top 10, NIST AI RMF, MITRE ATLAS, MAESTRO and ISO/IEC 42001, plus your own policies and compliance documents.

Frequently asked questions

What does HikmaAI protect?

HikmaAI secures AI agents and the agentic ecosystem around them: agents, LLM APIs, MCP servers and tools, and skills and code. It combines assessment, runtime enforcement and governance, so teams can find weaknesses, block threats in production and produce evidence afterwards.

Do we need to change our agents or add an SDK?

No. HikmaAI connects over standard HTTP and is designed to require zero lines of code in the agent and no SDK or library integration. Existing systems keep working once protected traffic is routed through the gateway.

Where does HikmaAI run?

HikmaAI is self-hosted first and runs inside your infrastructure. It can also operate in fully air-gapped environments, so prompts, model traffic and sensitive data do not need to leave your perimeter.

How much latency does the gateway add?

In technical benchmarks, observed maximums were 30 ms for non-ML controls and 120 ms for ML inspection. These are separate measurements, not a latency guarantee, and actual latency depends on your deployment. Assessment runs out of band and does not sit in the production traffic path.

Is HikmaAI only a gateway?

No. The platform connects three engines: Find It for adversarial assessment, Fix It for runtime inspection and enforcement, and Prove It for policy, auditability and evidence. The loop re-tests after remediation instead of treating security as a one-time scan.

What kinds of AI systems can it cover?

HikmaAI is designed for autonomous agents, copilots and chatbots, model APIs, MCP servers and tools, agent-to-agent traffic, and skills and code repositories. The security boundary sits outside the agent instead of relying on the model to police itself.

See how HikmaAI fits around the protected AI interactions you already run.

Book a 30-minute live demo