Non-Human Identity and AI Agent Security: IAM, SIEM, SOC

Non‑Human Identity and AI Agent Security: IAM, SIEM, SOC – taught by PapaHR – is a cutting‑edge Udemy course that helps security teams protect AI agents, service accounts, and machine identities. Updated July 2026, this free [course topic] course delivers practical IAM, SIEM, and SOC techniques that translate directly into daily operations. Learners learn non‑human identity concepts, build an agent registry, and master credential rotation without downtime, earning a Udemy certificate upon completion.

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What You'll Learn

• Build a comprehensive agent inventory across 12 discovery sources and record each entry in a centralized registry.
• Master short‑lived token issuance for AI agents, replacing static API keys with single‑task permissions.
• Learn credential rotation strategies that guarantee zero downtime and include an 8‑check revocation test.
• Understand how to differentiate AI agents from service accounts, identifying risks and controls for each non‑human identity class.
• Create ownership, purpose, data‑boundary, and lifecycle policies for every AI agent in your environment.
• Implement behavioral baselines, detection thresholds, and risk scoring models to monitor agent activity.
• Analyze agent logs within a SIEM, correlate them with the registry, and triage alerts in a SOC workflow.
• Apply an incident‑response playbook with tiered kill‑switch levels to contain compromised agents within minutes.

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Course Details

• Instructor: PapaHR
• Rating: 4.5 stars
• Language: en‑US
• Certificate: Yes, upon completion
• Includes: Lifetime access, active instructor support in Q&A, Udemy Certificate of Completion

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What This Course Covers

Module 1 – Agent Discovery & Inventory

• Identify AI agents hidden in identity providers, cloud consoles, SaaS platforms, network traffic, and source code.
• Use automated scripts to pull data from 12 discovery sources and normalize results.
• Populate an agent registry with owner, purpose, and access scope fields.
• Validate inventory completeness through cross‑checking with existing IAM policies.

Module 2 – Secure Credential Management

• Replace static API keys with OAuth 2.0 short‑lived tokens for one‑time tasks.
• Design token‑exchange flows that limit scope to the minimum required permissions.
• Implement automated rotation pipelines that avoid service interruption.
• Conduct an 8‑check revocation test to prove revoked credentials no longer function.

Module 3 – Lifecycle Governance & Policy

• Assign owners and define explicit purposes for each AI agent before granting access.
• Set data‑boundary constraints and expiration dates for agent privileges.
• Draft onboarding checklists and policy documents that enforce governance standards.
• Review and approve agent requests through a structured change‑management workflow.

Module 4 – Monitoring, Detection, and Risk Scoring

• Build behavioral baselines using telemetry collected from agent interactions.
• Configure detection thresholds that trigger risk alerts when deviations occur.
• Calculate agent risk scores based on activity patterns, privilege levels, and data exposure.
• Integrate risk scores into SIEM dashboards for real‑time visibility.

Module 5 – SIEM Integration & SOC Triage

• Forward agent telemetry to a SIEM platform and map fields to the registry schema.
• Correlate agent alerts with ownership and purpose metadata for contextual analysis.
• Follow a step‑by‑step SOC triage playbook to investigate suspicious agent behavior.
• Escalate incidents to the incident‑response module when automated containment is required.

Module 6 – Incident Response & Kill‑Switch Execution

• Develop a tiered kill‑switch strategy that isolates compromised agents at network, token, and workload levels.
• Conduct tabletop exercises to rehearse response actions and reduce mean‑time‑to‑contain.
• Automate shutdown procedures using scripts that revoke tokens and quarantine workloads.
• Document post‑incident findings and update the agent registry to prevent recurrence.

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Who Should Take This Course

• Security engineers responsible for identity, access, and secret management across hybrid environments.
• IAM specialists who must extend governance frameworks to AI agents and machine identities.
• SOC analysts tasked with triaging alerts that involve non‑human identities or service accounts.
• Cloud security engineers managing workload identities in AWS, Azure, or Google Cloud Platform.
• DevSecOps professionals who embed AI agents into CI/CD pipelines and need automated credential controls.

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Prerequisites

• Basic understanding of identity and access management concepts such as SSO, MFA, and role‑based access.
• Familiarity with cloud platforms (AWS, Azure, GCP) and common API authentication methods.
• Recommended: Experience with SIEM tools and log analysis, though not mandatory for course completion.

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Why Enroll in This Course

This Udemy course delivers a hands‑on, real‑world curriculum that bridges the gap between traditional IAM and emerging AI agent security. A free coupon provides 100 % off for a limited time, allowing learners to start immediately without financial risk. The training stands out because it combines policy design, token engineering, and SOC operations into a single, cohesive learning path.

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Course Highlights

• Lifetime access to all video lessons, assignments, and downloadable resources.
• Self‑paced format enables busy professionals to learn on their own schedule.
• Udemy Certificate of Completion validates newly acquired non‑human identity skills.
• Active instructor support in the Q&A section ensures questions are answered promptly.
• Practical assignments tied to your own organization reinforce concepts through real‑world application.
• Ready‑to‑use tools such as an agent registry template