Table of Contents
Auditing and Governance in Modern Identity
TL;DR: Aembit captures detailed audit data for workload and AI agent access, including identity, resources, authorization decisions and transaction context. Security teams can use that data to investigate activity, assess policy effectiveness, support compliance and feed existing SIEM and governance processes.
Aembit Team
Product & Research
Published Aug 2026
Updated Sep 2026
50:1
Non-human to human identities
18
Agent threat classes mapped
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Table of Contents
Turn Every Access Decision Into an Audit Trail
Workloads and AI agents authenticate and access resources at machine speed, often across systems that were never designed to tell the whole story.
Aembit captures that story at the point of access, recording who or what made the request, which resource was involved, what policy applied, whether access was allowed or denied and what happened next.
See how Aembit helps security teams:
- Capture administrative, workload and AI agent activity with rich identity and transaction context
- Trace authorization decisions down to individual MCP transactions
- Investigate incidents and troubleshoot failed or unexpected access
- Assess whether access policies are too restrictive, too permissive or working as intended
- Export audit data to existing SIEM and security operations platforms
- Support broader governance and compliance processes with evidence of how access is actually enforced
Know what accessed what, why it was allowed, and what happened next.
FAQs
You Have Questions? We Have Answers.
What should organizations log for workload and AI agent access?
Organizations need visibility into who or what requested access, which resource was targeted, whether access was allowed or denied, which policy governed the decision and whether the request succeeded. Transaction metadata provides additional context for investigations and troubleshooting.
How does Aembit support audits for workloads and AI agents?
Aembit records administrative changes as well as workload and agent access activity. Audit data includes identity context, resource details, authorization outcomes and request and response metadata, giving teams a detailed record of how access was requested and enforced.
Can Aembit distinguish AI agent activity from user activity?
Yes. When agents operate with blended identity, Aembit captures both the user and agent context associated with the access request. This gives security teams greater visibility into activity performed by an agent on a user’s behalf.
How can Aembit audit data be used in a SIEM?
Aembit can export logs and audit data to data stores and SIEM platforms for retention, correlation, alerting and reporting. This allows workload and agent access activity to become part of existing security operations and incident response processes.
How does Aembit complement identity governance tools?
Aembit provides enforcement and detailed logging at the point of access. Broader identity governance systems can handle policy definition, identity lifecycle management, and access review and certification, while Aembit provides the operational detail needed to understand how access policies are actually being enforced.
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