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    Home/Learn/Courses/Agentic AI for Cybersecurity
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    Agentic AICybersecurityAutomation

    Agentic AI for Cybersecurity

    Building and Scaling Autonomous Defense & Automation Systems

    Move beyond simple Generative AI prompts to build Agentic Systemsโ€”AI that can reason, use security tools, and execute multi-step playbooks autonomously. Focus on reducing 'Tier 1 burnout' by delegating routine triage, investigation, and remediation to specialized AI agents.

    What You Will Master

    Transition from standard automation (SOAR) to Agentic SOC architectures.
    Master frameworks like LangGraph, CrewAI, and AutoGen for security workflows.
    Connect AI agents to SIEMs (Splunk/Sentinel), EDRs (CrowdStrike), and Threat Intel APIs.
    Build 'Swarms' of investigation agents that correlate multi-source data in parallel.
    Implement Human-in-the-Loop (HITL) design patterns for high-stakes remediation.
    Secure your agents against prompt injection and adversarial attacks.
    Deploy Agentic RAG systems for private security knowledge bases.
    Automate dark web searches and OSINT gathering using specialized agents.
    Monitor and measure MTTR and 'Hours Saved' as key ROI metrics.
    Build production-grade bots for leaked secret monitoring and vulnerability patching.

    Curriculum Overview

    The Autonomous SOC Stack

    Frameworks
    LangGraph, CrewAI
    LLMs
    GPT-4o, Claude 3.5, Llama 3
    Integrations
    Splunk, Sentinel, EDR
    Search
    Tavily, Firecrawl, Shodan

    Practical Lab Projects

    Hands-on engineering projects designed to automate the drudgery of Tier 1 analysis and remediation.

    The 'Silent Guardian' Bot

    An agent that monitors GitHub for leaked secrets and automatically rotates them.

    LangGraph + GitHub API + AWS Secrets Manager

    Multi-Agent War Room

    Agents (Researcher, Forensic Analyst, Responder) 'chat' to solve a ransom incident.

    CrewAI + ELK Stack + Slack Integration

    Vulnerability Patcher

    An agent that reads scan reports, writes patches, and opens PRs for review.

    AutoGen + Snyk + GitHub Actions

    Future-Proofing Your Career

    "The drudgery of Tier 1 analysis is being replaced by AI. This course doesn't just teach you to use AI; it teaches you to build the systems that will define the next decade of cybersecurity defense."

    Frequently Asked Questions

    Agentic AI & SOC Mastery Assessment

    Validate your expertise in building autonomous defense systems, agentic swarms, and AI-driven SOC playbooks.

    Agentic AI & SOC Mastery Assessment

    50 questions covering the 2025 threat landscape, Agentic AI architectures, and production-ready security automation.

    Section 1: The 2025 Global Threat Landscape
    Section 2: Defining the AI SOC and Agentic AI
    Section 3: Professional Roles and Evolution
    Section 4: Vendor-Specific Innovations
    Section 5: Tactical Implementation and Metrics
    Section 6: Advanced Concepts and Strategy
    Section 7: Governance, Risks, and Future Outlook
    Full Lifetime Access
    Professional Certification
    Real-world SOC Playbooks
    Intensive AI-Security Community
    Practical Hacking Labs
    Instructor

    Celoris Designs

    Celoris

    Celoris Designs

    Pioneering AI-First Development

    Specializing in advanced Agentic AI Systems and Cybersecurity Automation. We bridge the gap between traditional SOC workflows and autonomous AI-driven defense.

    4.95(1250+)
    6-8 Weeks (Self-paced) Content

    Prerequisites

    • Basic understanding of Cybersecurity concepts (SIEM, EDR, TTPs)
    • Proficiency in Python programming
    • Familiarity with LLM basics (GPT, Claude, or Llama)
    • Experience with API integrations is helpful