AI Agent Security & Monitoring
AI agents are writing code, querying databases, talking to customers, and triggering automated workflows. Once they move into production, visibility drops. Actions happen across models, tools, and systems, often without a clear record of how a decision was made or why something went wrong.
Ooumph AEG gives organisations a clear line of sight into autonomous AI systems and puts firm controls around what those systems are allowed to do.
A Security Layer for AI Agents
AEG sits between your agents and your systems. It records activity, enforces policy, and stops unsafe actions before they cause damage.
- Agents connect through the AEG gateway with no redesign required
- Every request is recorded. Every decision can be traced
- Risky actions get blocked or escalated for human approval
- Works with any AI framework, model provider, or toolchain
Complete Visibility into AI Agent Activity
AEG records every step an agent takes, not just the final response. Instead of scattered logs across multiple systems, activity appears in one clear execution record.
When something goes wrong, you can follow the exact chain of events from initial request through every tool call to the final output.
Real-Time Risk Detection
AEG continuously evaluates agent behaviour as it happens. Potentially dangerous operations get stopped automatically or routed for review. Small errors never become serious incidents.
- Attempts to reach sensitive data
- Actions outside the agent's normal behaviour
- Unsafe outputs, flagged in real time
- Policy violations caught at the moment of execution
- Usage patterns that do not match the agent's task
Human Approval for High-Risk Actions
Some actions should never happen without human review. If an agent attempts to delete records, approve transactions, or modify systems, execution pauses until an authorised user approves.
Replay Any Agent Decision
When an AI system makes a mistake, the hardest question is usually the simplest: "What actually happened?"
AEG makes that answer available. Each agent execution can be reconstructed from the original inputs, policies, and environment settings. Teams review exactly how a decision unfolded instead of relying on partial logs or guesswork.
Essential for regulated environments, incident investigations, and RTI compliance.
Trust Scores for AI Agents
Not all agents behave the same way. AEG assigns trust scores based on behaviour and execution history. Agents with lower trust levels get restricted automatically.
Where AEG Can Run
AEG runs inside your infrastructure. No sensitive data needs to leave your environment. This makes AEG suitable for government and regulated enterprise deployments where external monitoring platforms are not acceptable.
On-Premise
Full installation inside your data centre. No external dependencies.
Private Cloud
Sovereign cloud deployment with tenant isolation.
Air-Gapped
Fully isolated networks. Zero internet connectivity required.
Hybrid
Split workloads between your infrastructure and sovereign cloud.
Part of the Ooumph USI Platform
AEG extends the Ooumph Unified Sovereign Interface. USI controls how AI executes. AEG makes that execution visible and secure. Together they provide a complete environment for deploying autonomous AI safely at institutional scale.
Explore USI PlatformWhere Organisations Deploy AEG
Monitor agents that interact with CRM, ERP, and financial systems. Flag anomalies before they reach production databases.
Maintain audit trails for policy-driven decisions and citizen services. Meet RTI and DPDP compliance requirements by default.
Provide verifiable execution records for compliance, investigation, and regulatory reporting in BFSI, healthcare, and energy.
Add monitoring and safety controls to customer-facing AI features. Ship agents with built-in governance from day one.
Deploy AI Agents with Confidence
Once an agent is touching production systems, you need to be able to say what it did and why. AEG is what supplies that answer.
Available for on-premise, private cloud, air-gapped, and hybrid deployment.