Easy Learning with Non-Human Identity and AI Agent Security: IAM, SIEM, SOC
IT & Software > Network & Security
6h 2m
£14.99 Free
4 ★★★★★

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Language: English

Sale Ends: 30 Sept

Advanced AI Agent Security & Non-Human Identity Governance: IAM, SIEM, SOC

What you will learn:

  • Systematically locate every AI agent, including hidden ones, utilizing 12 distinct discovery methods, and log them in a centralized agent registry.
  • Transition from vulnerable static agent API keys to secure, short-lived tokens, granting permissions only for specific, single tasks.
  • Implement zero-downtime agent credential rotation and validate complete access revocation with a rigorous 8-step verification test.
  • Execute rapid containment of compromised AI agents within minutes using a tiered incident response playbook featuring kill switch levels.
  • Accurately differentiate an AI agent from a service account, understanding the primary risks and essential controls for each non-human identity type.
  • Establish clear ownership, define operational purpose, set data access boundaries, and assign a finite lifetime to every agent before it gains system access.
  • Develop comprehensive behavioral baselines for AI agents, configure precise detection thresholds, and calculate agent risk scores effectively.
  • Integrate AI agent telemetry into your SIEM, correlate logs with the agent registry, and efficiently triage agent security alerts within the SOC.
  • Learn from Mike Pritula, a top-ranked Udemy HR instructor, joining over 2 million students who have benefited from his expert instruction.

Description

This course incorporates the practical application of artificial intelligence principles.

Autonomous AI agents are rapidly integrating into organizational ecosystems, often acquiring extensive access to sensitive resources like email, proprietary codebases, cloud environments, and customer data. This proliferation frequently occurs beyond the purview of traditional Identity and Access Management (IAM) teams, creating significant security blind spots. Can your organization definitively identify every active AI agent, its assigned owner, and the precise scope of its operational permissions?

While your existing IAM infrastructure efficiently manages human identities—encompassing Single Sign-On (SSO), Multi-Factor Authentication (MFA), role-based access controls, and robust joiner/mover/leaver processes—non-human entities, particularly AI agents, operate outside these established paradigms. A new vendor might activate a copilot, a developer could deploy an agent utilizing a hardcoded static API key, or an employee might authorize a tool via an OAuth grant, all bypassing standard onboarding protocols. This often results in a lack of clear ownership, undefined operational purposes, and persistent, non-expiring credentials. When a security alert inevitably triggers, your Security Operations Center (SOC) struggles to differentiate legitimate agent activity from malicious overreach. Furthermore, revoking access becomes a challenge, with no certainty that the agent has truly lost its privileges.

Upon completing this comprehensive course, you will be equipped to manage AI agents as a distinct and governable identity class. You will gain the expertise to systematically discover where agents reside within your environment and meticulously log them in a centralized agent registry. Each agent will be assigned a clear owner, a defined purpose, strict data boundaries, and a finite operational lifespan before being granted any access. This course will guide you in transitioning from vulnerable static keys to secure, short-lived tokens, dynamically issued for specific tasks. You will master the art of credential rotation without service disruption and conclusively verify access revocation through rigorous testing. Agent telemetry will be seamlessly integrated into your Security Information and Event Management (SIEM) system, directly linking back to your agent registry. Your SOC team will be provided with a robust triage playbook, enabling swift and effective responses to agent-related alerts. In the event of an agent compromise, you will be able to contain the threat within minutes, leveraging a pre-rehearsed kill switch mechanism.

The course is expertly delivered by Mike Pritula, the visionary founder and head of strategy at Pritula Academy. While not presented solely as a security engineer, Mike brings invaluable discipline in establishing structured processes, defining clear ownership, and implementing robust rules for emerging technologies. The technical curriculum is solidly grounded in widely adopted public identity standards, such as OAuth 2.0 token exchange, and leverages established cloud provider documentation.

  • Recognized as the #1 HR instructor on Udemy, having educated over 2,000,000 students globally.

  • Founder of Pritula Academy, an institution that has trained more than 170,000 students.

  • Boasts over two decades of extensive experience across leading organizations including Wargaming, Preply, iDeals, Starlightmedia, and Sense Bank, playing a pivotal role in the growth of the unicorn company, Preply.

The learning journey begins with comprehensive visibility: understanding the fundamental distinctions between an AI agent and a service account, and uncovering where agents might be hidden across your identity provider, cloud platforms, SaaS consoles, network infrastructure, and codebase. Subsequently, you will learn to exert full control over the agent lifecycle: defining ownership and purpose, implementing short-lived, task-specific access, and establishing verifiable rotation and revocation procedures. Finally, the course transitions into operational excellence: building behavioral baselines, integrating agent telemetry into your SIEM and SOC, and orchestrating rapid incident response with a multi-tiered kill switch. The format is intensely hands-on, built around pragmatic, real-world scenarios, with each lesson designed to be self-contained. A SOC analyst needing to address an agent alert immediately can leverage specific lessons to quickly implement the necessary triage playbook. This course intentionally focuses on identity and access management for AI agents, allowing your team to implement actionable controls without delving into model security (e.g., jailbreaks, red teaming of language models), agent development, or vendor selection. It provides immediate, practical value where your team can make a tangible impact.

What you receive:

  • Unrestricted, lifelong access to all course materials.

  • Proactive instructor engagement and support within the Q&A forums.

  • An official Udemy Certificate of Completion.

  • A practical, company-specific assignment integrated into every lesson.

  • A suite of immediately deployable tools: an identity class mapping framework, an agent registry template, an agent card with an onboarding policy blueprint, a token and access design methodology complete with a scope review checklist, a rotation runbook featuring a robust revocation test, a detection catalog coupled with a risk score calculator, an agent telemetry schema alongside a SOC triage playbook, and an incident response playbook including a tabletop scenario exercise.

Non-human identity represents an evolving frontier in cybersecurity. The security professionals who proactively establish agent inventories and craft robust response playbooks now will be instrumental in shaping their organizations' security posture for years to come. Each month an AI agent operates without clear ownership and with unexpiring credentials represents a period of unmonitored and potentially vulnerable access. Don't delay—secure your organization's future in the age of AI.

Enroll today and begin your foundational lesson.

Curriculum

Uncovering & Understanding AI Agent Identities

This foundational section explores the landscape of non-human identities, drawing crucial distinctions between traditional service accounts and the emerging class of AI agents. You will learn systematic methodologies to discover every AI agent, including elusive 'shadow agents,' across a diverse range of 12 common discovery sources such as cloud platforms, SaaS integrations, identity providers, and code repositories. The focus is on gaining complete visibility into your environment, establishing the critical first step towards effective governance, and logging each identified agent into a structured registry.

Mastering the AI Agent Access Lifecycle

Moving beyond discovery, this section empowers you to take decisive control over the entire AI agent lifecycle. You will learn to assign clear ownership, define precise operational purposes, establish data access boundaries, and enforce finite lifetimes for every agent before it gains access. A core module focuses on replacing insecure static API keys with sophisticated, short-lived tokens, ensuring that permissions are granted dynamically for single, specific tasks. The curriculum also covers advanced strategies for seamless credential rotation without downtime and how to conclusively prove access revocation through an 8-check testing protocol, guaranteeing that terminated access is truly gone.

Operationalizing AI Agent Security & Incident Response

The final section delves into operational security, equipping your team with the tools to proactively monitor and respond to AI agent threats. You will learn to establish robust behavioral baselines for agents, define effective detection thresholds, and implement a risk scoring methodology for agent activities. Critical modules cover integrating agent logs into your SIEM, correlating telemetry with your agent registry, and triaging agent-related alerts within the SOC using a dedicated playbook. The course culminates in developing comprehensive incident response strategies, including the design and rehearsal of multi-tiered kill switches, enabling your team to contain a compromised AI agent within minutes during a simulated tabletop scenario.

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