HikmaAI
Agentic Systems
Autonomous systems across the enterprise: models, apps, and processes.
- Models: end-to-end management
- Agents: workflow orchestration
- MCP: Model Context Protocol integration
- Skills: extensible logic and APIs
Real-Time Agentic Security
Observe. Control. Govern.
Three layers. Three board-level questions. Every AI system in your organisation, from the same console.
Platform Architecture
One platform governs the full agentic stack.
Agentic systems flow into HikmaAI Platform controls, adaptive red teaming, the intelligent gateway, and policy-backed governance.
HikmaAI
Platform
End-to-end AI security and orchestration.
- Agent lifecycle: model serving, process control
- Security: data protection, threat monitoring
- Optimization: resource allocation, model tuning
HikmaAI
Adaptive Red Teaming
Adaptive AI vulnerability and risk modeling.
HikmaAI
Intelligence Gateway
Intelligent secure gateway for AI services, configuring guardrails, governance policies, and runtime controls.
HikmaAI Governance
Policy-as-code and post-deployment compliance reporting.
Day One
One binary. One YAML.
Everything you need from the first deploy.
What the engineering team gets the moment the container lands. No backlog, no integration sprints.
01
One audit log for every token, tool call, and secret use
Incident response has one place to look — across all agents, tools, and tenants.
02
Provable secret containment
Secrets exist in exactly one container. Never in agent memory, logs, or stack traces.
03
Cost ceiling guaranteed by infrastructure
The gateway returns 429 after $N of spend — before the budget burns. Not by agent self-restraint.
04
OWASP LLM Top-10 coverage from day one
LLM01 prompt injection, LLM06 PII disclosure, LLM08 excessive agency, LLM10 unbounded spend.
05
Policy surface that survives the next framework
LangGraph today, OpenClaw now, whatever ships next. Your security posture outlives the choice.
06
Audit-ready by default
EU AI Act, SOC 2, ISO 42001 conversations get shorter when every action is already in a structured log.
Layer 01 · Observe
Prove posture, not promise it.
Continuous coverage with audit-grade evidence.
What is running in my environment and what is it doing?
- 0–100 risk score
- 7d / 30d / 90d / 1y trends
- Action queue, not a hunt
Risk dashboard
Weighted risk score 0–100 per agent and per organization. Severity breakdown, trend charts over 7d/30d/90d/1y. Action queue surfaces critical findings without hunting.
Signed audit logs
Every action logged with actor, timestamp, source IP, and the change performed. Ed25519-signed CSV exports designed for EU AI Act Article 12 record-keeping.
Real-time notifications
Assessment progress, critical findings, and compliance drift surfaced in-platform and via webhook.
PDF compliance reports
Board-ready and regulator-ready exports for every assessment, with signed audit logs attached as evidence of due diligence.
Layer 02 · Control
Know your risk before incidents do.
Automated red-teaming, compliance, and code-level audit.
Am I blocking threats in real time?
- 50+ attack vectors
- Agent-specific, not generic
- Framework-tagged findings
Adaptive red-teaming
Active attacks tailored to your agent's actual behavior, not a static checklist of generic prompts. Every finding reflects a vulnerability your specific system exhibits.
OWASP Top 10 for LLM
Full coverage across prompt injection, jailbreaking, data leakage, insecure output, excessive agency, supply chain. Every finding is framework-tagged.
EU AI Act Articles 6–52
Article-by-article evaluation including Article 15 enhanced pillars: accuracy, robustness, explainability. Report designed for regulatory submission.
MCP and source-code coverage
Tool enumeration, permission analysis, and input validation for any MCP server. Dependency and configuration audit for any Git URL or ZIP upload.
Layer 03 · Govern
Enforce what policy requires.
RBAC, tenant isolation, programmatic control.
Can I prove my agents behave as intended?
- Admin · Member · Read-only
- Per-action audit trail
- Duties separated by design
Role-based access (RBAC)
Admin, Member, and read-only roles separate duties between security, platform, and compliance. Every privileged action is logged.
Private Agent Connector (PAC)
Scoped API keys (hik_*) for programmatic integration. Pin keys to specific agents; revoke without touching user auth. Strict organization scoping by construction.
EU AI Act metadata
Risk classification (unacceptable, high, limited, minimal), lifecycle stage, and regulatory context attached to every agent and reflected in every report.
Cryptographic audit exports
Ed25519-signed bundles for regulators and external auditors. Tamper-evident, verifiable without the platform.
The Intelligent Gateway
Twenty controls. Eleven languages. One auditable binary.
The gateway is the only thing the agent can talk to. Everything else is declared, allow-listed, and audited.
Zero Production Change
No SDK. No code changes. Under 30 minutes.
One engineer. Works with every framework you already operate.
Self-hosted
Your hardware. Your perimeter.
Installs on your hardware or private cloud. Your data never leaves your perimeter. Air-gapped. Zero telemetry.
Air-gapped
SaaS
We host. You consume.
Cloud-hosted. Zero infrastructure to manage. Your deployment choice does not change the commercial value of HikmaAI.
Zero ops
Deploy In 5 Steps
Operational in under 30 minutes. One engineer.
Step 01
Drop in the container
One binary, one YAML. Runs as a Kubernetes sidecar or Deployment, a standalone Docker container, or an iptables-fronted transparent proxy. No control plane required for base deployment.
Step 02
Point your agents at the gateway
The agent calls the gateway instead of the provider directly. It holds no token, knows no upstream URL. Framework-agnostic: works for LangGraph, CrewAI, OpenClaw, AutoGen, and any custom orchestrator.
Step 03
Declare identity, capability, and budget
One YAML block per agent: allowed providers, tool allow-list or trust-gated tool tiers, cascade depth, budget tier, attestation key. Policy lives next to gateway config, reviewed in PRs like any other infrastructure.
Step 04
Turn on the controls
AI Firewall in alert mode to baseline traffic. Promote individual controls to enforce in shadow-then-flip fashion, one at a time. Egress allow-list and budget caps are recommended from day one.
Step 05
Operate
Stream JSON logs to your SIEM. Export OTel spans to Langfuse, Honeycomb, or any collector. Rotate secrets without restarting pods (SIGHUP hot-reload). Add a new agent by adding a YAML block.
What Ships
Latency. Coverage. Time.
Numbers your team can defend.
Four pillars the gateway proves on every call, across every framework you already operate.
Responds
- <30ms latency
- per gateway call
- inline decisions
- runtime-safe
Tests
- 50+ attack vectors
- tested continuously
- policy coverage
- attack drift
Deploys
- <30 min setup
- one engineer
- no SDK
- no code changes
Understands
- multilingual
- multimodal
- 11 native languages
- ML classifiers
Request Demo
Stop hoping.
Start proving.
Request a 30-minute demo. We walk your team through the threat model for your specific agentic footprint — and what controlling it looks like.