Leading in Agentic AI Governance & Security
Control Every Agent. Record Every Step. Explain Every Outcome.
Your AI agents are making decisions. Can you explain them?
Traditional model risk frameworks were built for models that predict. Agentic AI acts autonomously, across systems, in ways no single team can fully observe. The governance gap is already open. The question is whether you close it before or after an incident happens.
Build, Govern, and Secure
Your AI Agents in One Platform
Lumenova AI runs on a two-layer agentic governance framework:
Detection & Discovery and Enforcement & Remediation.
This way, your AI builders and your model risk team work from the same source of truth across every model, from first deployment to annual review.
Platform Capabilities for GenAI and Agentic AI
Everything you need to govern, monitor, and secure AI systems across their entire lifecycle.
EVALUATE & VALIDATE
Evaluations
Catch accuracy, bias, and robustness issues before customers do, with continuous evaluations across live and historical data.
Experiments
Compare versions over the same dataset before anything changes in production, and gate a release on the result.
Probe Evals
Attack a running agent as a black box, with no code access on the target, and turn what it finds into a control you can test.
PROTECT & GUARD
Guardrails
Block what the agent shouldn’t see: injection, sensitive information, harmful content, restricted topics. Your team sets the thresholds.
Policy Engine
Turn what each agent may do into OPA policy your platform team can read, version, and test before it ever reaches production.
AI Gateway
Enforce what the agent is allowed to do on every call that crosses it. Self-hosted inside your perimeter.
OBSERVE & MONITOR
Observability
Gain complete visibility into enterprise AI with real-time tracing and automated debugging across every LLM and agent interaction.
Alerts
Route the thresholds you set to where your team already works. Live monitoring is available and you turn it on.
Cost and Usage
Attribute spend to the agent and the use case that incurred it, with budget ceilings enforced at request time.
REVIEW & GOVERN
AI Registry
Track agents, MCPs, skills, and prompts in one versioned dependency graph, where a use case binds its dependencies and approval status.
AI Inventory & Lifecycle
Map every AI system to its current stage and who approved it, from first deployment through retirement.
AI Risks & Controls
Record the controls in force, the decisions they produced, and export the evidence for auditors and regulators.
Stop Agent Incidents Before They Happen with Real-Time Controls
Mitigate AI and model risk before incidents occur, protecting your stakeholders, your regulatory standing, and your brand’s reputation.
- Proactively identify control gaps, even as new frameworks are released
- Continuously evaluate models and agents for AI drift and data integrity
- Get instant alerts when AI systems or agents deviate from thresholds
Your AI Agent Acted.
Do You Have the Evidence to Back It Up?
Lumenova AI manages AI Risk and MRM for regulated industries – auditability, explainability, and real-time guardrails, with a record to prove it.
- Automate documentation for AI explainability
- Establish guardrails to control AI agents and generative AI
- Monitor AI systems for model drift and unexpected behavior
- Get real-time observability across every AI workflow
- Run comprehensive evaluations across risk categories
- Apply configurable guardrails that enforce policy alignment
Why Lumenova AI?
Lumenova AI uniquely builds and governs AI within a single, fully integrated platform, eliminating tool sprawl and giving every team a shared foundation for agentic AI governance.
Backed by 20+ years of AI expertise and enterprise software, we lead the market in helping organizations deploy and oversee autonomous agents at scale, with real-time guardrails and complete control. The result is an enterprise-wide solution that bridges departments, not just serves them.
Beyond the Model: Lumenova AI Perspectives
Explore our research-driven blog for the latest news, in-depth analysis, and expert articles on AI governance, risk, regulation, and agentic AI.
September 23, 2026
From Dashboards to Decisions: A Buyer’s Guide to Agentic AI Monitoring and Observability Software for Production Systems
Evaluate agentic AI monitoring software on five criteria: coverage, thresholds, alert severity, named ownership, and escalation.
September 17, 2026
How to Implement AI Lifecycle Governance: Controls, Owners, and Evidence at Every Stage
Effective AI lifecycle management takes more than tracking models from build to deploy - it requires governance gates, named owners, and audit-ready evidence at every stage. This post breaks down a seven-stage framework, shows why point-in-time review isn't enough, and walks through real 2026 examples of what happens when it's missing.
AI Experiments
Evaluating reasoning, emotional comprehension, and perception capabilities of Frontier AI models through advanced and complex prompting approaches.
January 2, 2026 by Lumenova AI Research Team
Our Latest Series of AI Experiments: Capability and Adversarial Tests at the Frontier
Are frontier models secure? Discover our AI safety tests roundup: critical flaws in GPT-5 & Claude regarding jailbreaks and capability overlaps revealed.
December 29, 2025 by Lumenova AI Research Team
Behavioral AI Testing: The Importance of Control Conditions
Is your AI testing valid? Our article shows why control conditions are essential to distinguish genuine capability from performed expectations.
Agentic AI Governance, Simplified
Understand, evaluate, and govern AI systems
and agentic AI risks – all in one place.
Book your discovery call
and agentic AI risks – all in one place.