Enterprise AI agents
Business agents may work across service desks, customer operations, finance and internal applications. Oversight should connect each action to an owner, an identity and an approved purpose.
OUR DIFFERENTIATOR
Who watches
your AI agents?
AI agents can access information, call tools and take actions. Prajnera’s agent-monitoring vision brings those activities into the SOC’s view, across enterprise applications and security workflows.
TWO ENVIRONMENTS. ONE OVERSIGHT PRINCIPLE.
Every agent needs accountability.
SOC AI agents
Security agents may investigate alerts, write queries and trigger response playbooks. Their evidence, confidence and proposed actions need review just as their permissions do.
WHAT SHOULD BE MONITORED
Beyond the final answer.
Identity & ownership
Which agent acted? Who owns it? Which model, version and service identity were involved?
Permissions & scope
What may the agent access or change? Does a proposed action exceed its approved role or delegation?
Data access & movement
What information did the agent retrieve, process or send? Did it cross a defined data boundary?
Tool calls & execution
Which APIs or tools did the agent invoke, with what arguments and outcome? Did repeated calls indicate a loop or unexpected behaviour?
Decisions & evidence
What task, retrieved context and evidence supported the action? Preserve the observable decision record and approval history.
Behaviour & outcomes
Did the agent follow policy and complete the intended task? Review unusual actions, errors and changes in behaviour over time.
ILLUSTRATIVE MONITORING WORKFLOW
Observe. Evaluate. Escalate.
Explore how the oversight approach applies to different agents. These examples describe the monitoring design, rather than a live agent feed.
ENTERPRISE AGENT / ILLUSTRATIVE SCENARIO
A service agent proposes an external data transfer.
A support agent retrieves a customer record and requests a tool call to send it to an unapproved destination.
- ObserveRecord the agent identity, retrieved data, destination and requested tool action.
- EvaluateCompare the request with the agent’s permissions and approved data destinations.
- EscalateRaise the deviation for the owner and SOC. Where enforcement is integrated, hold the action for review.
- VerifyRecord the decision and check the eventual tool outcome before closing the case.
DESIGN FOR CONTROL
Monitoring must lead to a decision.
Define the policy
Assign owners, approved tools, data boundaries and escalation thresholds before increasing autonomy.
Connect the evidence
Correlate agent activity with identity, application and security telemetry to investigate the full sequence.
Route human review
Make high-impact actions and policy deviations visible to an accountable reviewer.
Verify the outcome
Record approvals and execution results. Reassess access and policy when an incident reveals a gap.
SCOPE WITH YOUR ENVIRONMENT
Visibility and enforcement are different.
Visibility depends on the telemetry available from each agent framework, model gateway and connected tool. The monitoring design should establish which identities, events and outcomes can be collected.
Holding an action, revoking access or stopping an agent requires an integrated control point. These actions should never be assumed from monitoring alone.
During discovery, we will define the agent inventory, available telemetry, review workflows and enforcement integrations to validate in a pilot.
YOUR NEXT STEP
Let’s discuss your SOC and AI agents.
Define the security workflows, agent visibility and human controls your environment needs.