The Agentic AI Governance Platform
That Makes Every Action Auditable
Govern, evaluate, and monitor agents across their entire lifecycle – all in one platform, with built-in guardrails, policy enforcement, and an exportable record of every action.
Agentic AI Brings New Risks.
Lumenova AI Keeps You Ahead of Them.
When agents call tools and hand off to other agents, after-the-fact review isn’t enough. Controls need to sit directly in their path.
- Enforce controls where the agent acts, not after.
Replace manual, after-the-fact reviews with real-time enforcement. - Give engineering, risk, and governance one shared view.
The same traces and scores, not three separate reports. - Evaluate agents for quality, safety, and behavior.
Find the blind spots before your customers do. - Scale with built-in guardrails, monitoring, and evaluation gates.
Address the risk before it becomes an incident.
Built on Open Standards Your Engineers Already Use
Policy in OPA. Traces in OpenTelemetry. Weakness classes mapped to OWASP and MITRE ATLAS. No proprietary format standing between your team and your own data.
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Open Policy Agent (OPA)
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OpenTelemetry
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OWASP Top 10 for Agentic Applications
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MITRE ATLAS
Secure Agents Where Risks Happen
Acting on its own is what makes an agent useful – and what makes it risky.
Each card below pairs one risk with the control that closes it.
Tool Misuse
An agent calls a tool it shouldn’t, with permissions it shouldn’t have.
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A policy decides whether the action runs, before it runs.
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At the gateway, each key is scoped to only the tools its use case is approved for.
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Every call attempt is logged with the policy that matched, whether it ran or was blocked.
Goal Hijack
A document, a web page, or a tool result redirects the agent.
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Prompt injection is detected before the content reaches the model.
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Red-team probes simulate the hijack pre-deployment, and what they find becomes a policy you can replay.
Identity & Privilege Abuse
Agents run on shared keys and permissions nobody scoped to them.
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Each agent on the gateway gets its own identity from your directory, scoped to an approved use case.
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Attribution stays on the record even after the key is gone.
Rogue & Unregistered Agents
An agent nobody approved is already on your traffic.
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An unregistered agent crossing the gateway is held until someone registers it.
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A key crossing your flagged-count threshold is revoked.
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Coverage extends to gateway traffic – not to agents running entirely outside it.
Data Exposure
An agent puts customer data where it shouldn’t go.
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Personal data is blocked, masked, or redacted before the model sees it.
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Masking runs on your side, before data leaves your process.
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Past sessions are scanned for signs of exfiltration you might have missed live.
Cascading Failures
One agent’s bad output becomes the next agent’s input.
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Traces follow the chain across every agent and tool it touches.
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Policy applies at each handoff, not just the first call.
Unbounded Execution
An agent retries a paid call until someone notices.
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Budget ceilings and rate limits enforced per key, team, and user, checked at request time – before the call runs, not after the invoice.
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Spend attributed to the agent and use case that incurred it, so a runaway loop is traceable to its source in minutes, not a billing cycle.
Untraceable Decisions
Nobody can say why the agent did it.
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Every recorded decision carries the rule, the reason, and the exact input.
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The rule’s version history shows who wrote it.
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Export as CSV or JSON by your own team – no vendor needed to pull it.
Ship Agents Faster.
Turn Gaps into Progress.
Forward Deploy Team: Clearing the Path to Production
Faster time-to-value comes from proactively finding governance gaps before they slow you down – not from another vendor relationship to manage. Whether you’re early in adoption, scaling AI practices, or working through AI risk complexity, our Forward Deploy Team integrates directly with your organization to find the gaps and bring the tools to close them.
Where the Forward Deploy Team Steps In
Once a roadblock is identified, the team engages directly across these three areas.
Proving the Business Case
Compare the agent against the process it replaces, on your data, to ground resourcing decisions in evidence.
Tuning Your Guardrails
Hands-on configuration of thresholds and policies for your specific use cases — not a default template.
Standing Up Observability Early
Traces from the first prototype through every iteration, so you have complete visibility long before production.
AI Agent Governance You Can Verify
Check every input. Govern every action. Record every outcome. Verify everything.
Two Layers Guard Every Call
Detection & Discovery
Catches what an agent communicates: injection, PII, harmful content, factuality — via a pre-execution hook, before the call runs.
Flags any agent that shows up on your traffic unregistered, the same way.
Enforcement & Remediation
Controls what it does: tool access, parameters, budgets, and handoffs
— via a post-execution hook, before the response passes forward.
Turns what a probe finds into a policy you can replay.
Multiple Ways to Evaluate
Rule checks
Pass or fail against format, schema and the rules you write.
Quality judgment
A judge scores the output where there is no single right answer.
Whole-workflow review
Evaluating reasoning and tool use, not just the final output.
Adversarial probes
Attacking a running agent, with no code access, to find what breaks it.
Proof, Not Just Logs
Full call attribution
Timestamp, parameters, matched policy, and outcome – survives key deletion.
Automatic shadow AI detection
An agent seen in traffic but missing from the registry is held automatically.
Threshold-based key revocation
Access is cut once an unregistered agent crosses a flagged-count limit.
Fits What You Already Run
Zero code changes
Swap the base URL and you’re integrated.
Self-hosted inside your perimeter
Prompts and completions never leave your network.
Directory-based identity
Revoke access in your existing directory, and it stops at the gateway.
One Platform,
Six Layers of Enterprise Agent Control
Trace what Lumenova AI enforces, measures, or records across every capability,
from foundation to business value.
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Cost & Business Value
Attribute spend by agent and use case, with budgets enforced at request time.
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Monitoring & Security
Control what agents can see and do before each call runs, with auditable OPA policies.
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Quality &
Operations
Trace agent activity in OpenTelemetry, while the AI Gateway enforces policy on every routed call.
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Assessment & Governance
Evaluate agent outputs against reviewers. Version and adapt prompts as requirements change.
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Lifecycle & Process
Track agent status, approvers, and policy stacks, with exportable records for your GRC platform.
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Foundation
Register agents, MCP servers, skills, and prompts, with versions and approvals tied to each use case.
Ready to Govern Every AI Agent You Deploy?
See the platform in action – schedule a conversation today.
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