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Deploy Agents Fast.
Govern Them Faster.

75% of enterprise leaders say security and compliance are the #1 requirement for AI agents. Yet organizations deploy agents faster than they can govern them. We close that gap.

The Governance Gap

The data is clear: agent adoption is outpacing agent governance.

75%

Of leaders cite security as #1 agent requirement

KPMG

>40%

Of agentic AI projects at risk without governance

Gartner

62%

Of practitioners identify security as top challenge

1%

Of organizations are truly AI-ready

McKinsey

End-to-End Agent Governance

Six pillars of governance — from discovery to incident response.

Agent Discovery & Inventory

You can't govern what you can't see. We map every agent across your organization — vendor, custom, shadow AI — into a single registry.

Behavioral Monitoring

Real-time monitoring of agent actions, tool usage, and decision patterns. Detect anomalies, drift, and policy violations before they cause damage.

Permission Architecture

Tiered autonomy models (AUTO / PROPOSE / CONFIRM / BLOCK) that match agent permissions to risk levels. Our production-proven pattern.

Audit Trail Implementation

Complete logging of every agent decision, tool call, and data access. Immutable records for compliance, debugging, and incident forensics.

Human-in-the-Loop Workflows

Configurable approval gates for high-risk actions. Agents propose, humans approve. The right balance of speed and safety.

Incident Response Protocols

When agents go wrong — and they will — you need a playbook. We build detection, containment, and recovery procedures.

The Sentinel Pattern — Battle-Tested Agent Governance

We don't just advise on governance. We built it. Our production 8-agent system runs a dedicated Sentinel agent that validates every proposal against 9 business rules, enforces content quality, and monitors system health in real-time. We bring this exact pattern to your organization.

9 business rule validation checks per agent action
Content quality scoring before execution
60-second health monitoring loop
Automatic escalation via Telegram/Discord/Slack
Tiered autonomy: AUTO → AUTO+ → PROPOSE → CONFIRM → BLOCK
15-minute rollback windows on approved actions

Built for Organizations Taking Agents Seriously

Governance scales with complexity. Here's where we add the most value.

Enterprise with 10+ Agents

Managing agents from multiple vendors? Salesforce, Microsoft, Google, custom? Cross-system governance is an engineering challenge. We solve it.

Regulated Industries

Financial services, healthcare, legal. Where agent mistakes aren't just costly — they're actionable. Governance isn't optional.

AI Platform Teams

Building an internal agent platform? We help you design the governance layer from day one — permissions, monitoring, audit, incident response.

Common Questions

What businesses ask us about AI agent governance and security.

What is AI agent governance?

AI agent governance is the policy framework controlling what agents can do, when they can act autonomously, how their actions are logged, and how humans intervene when needed. It covers permission architecture (what tools each agent can call), audit trails (logging every action), behavioral monitoring (detecting anomalies), and incident response (what happens when something goes wrong).

Why do I need governance before I can scale AI agents?

Without governance, agents operate as black boxes — you cannot reconstruct what happened, detect drift, or explain decisions to regulators or clients. Gartner predicts that over 40% of agentic AI projects will be cancelled or fail by 2027 due to inadequate governance. Governance is not overhead; it is the infrastructure that makes agents trustworthy enough to scale.

What is the tiered autonomy model?

Tiered autonomy assigns a risk level to every agent action: AUTO (executes without approval — read operations, research), AUTO+ (executes and notifies — low-risk writes), PROPOSE (executes with a 15-minute rollback window — medium-risk actions like drafting emails), CONFIRM (requires explicit human approval before execution — high-risk actions), BLOCK (hardcoded no-op — prohibited regardless of instructions). This is our production-proven governance architecture, running live in the Inscape 8-agent system.

What is the Sentinel agent?

Sentinel is our dedicated governance watchdog agent. Before any PROPOSE or CONFIRM tier action executes, Sentinel validates it against your configurable business rules — checking for policy violations, data handling requirements, and content quality. If an action fails validation, it is blocked and the requesting agent receives a structured error. Sentinel also runs a 60-second health monitoring loop across all other agents.

How does agent governance satisfy EU AI Act requirements?

The EU AI Act requires high-risk AI systems to have: a risk management system, automated logging (audit trail), human oversight mechanisms, and transparency to affected users. Our governance framework addresses all four: tiered autonomy implements human oversight, the audit trail satisfies logging requirements, Sentinel handles risk management, and our disclosure templates handle transparency. Governance is the compliance layer.

Can you govern agents we did not build?

Yes. Agent discovery and inventory covers all agents in your environment — including vendor agents (Microsoft Copilot, Salesforce Einstein, custom GPTs), not just agents we built. We map existing agents into your governance framework, implement behavioral monitoring, and add audit logging where the vendor API permits it.

Request a Governance Assessment

Tell us about your agent landscape. We'll identify your governance gaps.

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