{"product_id":"agentic-security","title":"Agentic Security","description":"\u003cdiv\u003e\u003cp\u003eAgentic Security: Attack and Defend AI Agents is a three-day, hands-on course for cybersecurity professionals who need to understand, attack, and defend the autonomous AI systems now operating inside enterprise environments. Every agentic system that perceives, reasons, plans, and acts is a new attack surface. This course teaches you to exploit it and protect it.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eAgentic Security Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cb\u003eIn this course you will:\u003c\/b\u003e\u003c\/p\u003e\n\u003col\u003e\n\u003cli\u003e\u003cb\u003eUnderstand\u003c\/b\u003e\u003c\/li\u003e\n\u003cul\u003e\n\u003cli\u003eTrace the AI architecture stack — ML, DNNs, transformers, LLMs, GenAI models, agentic systems — and identify the attack surface at each layer\u003c\/li\u003e\n\u003cli\u003eMaster agentic AI design patterns: Cognitive Loop, Planner-Executor-Verifier, multi-agent orchestration, and tool\/API integration via MCP\u003c\/li\u003e\n\u003cli\u003eMap the threat landscape: OWASP ML Top 10, OWASP LLM Top 10, NIST Adversarial ML Taxonomy, and MITRE ATLAS\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003e\u003cb\u003eBuild\u003c\/b\u003e\u003c\/li\u003e\n\u003cul\u003e\n\u003cli\u003eConstruct anomaly detection and deep learning malware classification models on real cybersecurity datasets\u003c\/li\u003e\n\u003cli\u003eDeploy RAG pipelines integrating AlienVault OTX threat intelligence with chunk provenance validation\u003c\/li\u003e\n\u003cli\u003eImplement multi-agent SecOps workflows using LangChain, CrewAI, or AutoGen with Apache Kafka for agent communication\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003e\u003cb\u003eAttack\u003c\/b\u003e\u003c\/li\u003e\n\u003cul\u003e\n\u003cli\u003eExecute all five prompt injection variants: direct, indirect, chained, multi-language, and refusal suppression\u003c\/li\u003e\n\u003cli\u003eConduct training data poisoning, model extraction, token inference side-channel attacks, hallucination exploits, and payload splitting\u003c\/li\u003e\n\u003cli\u003ePerform AI-assisted memory forensic analysis using Volatility 3 to detect process hollowing, DLL injection, and advanced persistence\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003e\u003cb\u003eDefend \u0026amp; Govern\u003c\/b\u003e\u003c\/li\u003e\n\u003cul\u003e\n\u003cli\u003eBuild autonomous threat detection and response workflows with human-on-the-loop oversight checkpoints\u003c\/li\u003e\n\u003cli\u003eApply NIST AI RMF AI 600-1, OWASP LLM Governance Checklist, and Zero Trust principles to agentic AI deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e2+ years cybersecurity experience; basic Python; Docker familiarity; comfort with Linux command line; understanding of common attack vectors and defensive frameworks.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eWho Should Attend:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSecurity Operations \u0026amp; Defensive Roles\u003c\/li\u003e\n\u003cli\u003eSecurity Architecture \u0026amp; Engineering\u003c\/li\u003e\n\u003cli\u003eAI \/ ML \u0026amp; Emerging Tech Roles\u003c\/li\u003e\n\u003cli\u003eDevOps, Platform \u0026amp; Automation Roles\u003c\/li\u003e\n\u003cli\u003eGovernance, Risk \u0026amp; Compliance (GRC)\u003c\/li\u003e\n\u003cli\u003eLeadership \u0026amp; Strategy Roles\u003c\/li\u003e\n\u003cli\u003eRed Team \u0026amp; Offensive Security\u003cb\u003e \u003c\/b\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAgentic Security AI Training Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1: AI Architecture \u0026amp; Agentic Foundations\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eTrace the development of AI from Turing's test to modern agentic systems\u003c\/li\u003e\n\u003cli\u003eDemystify ML, deep neural networks, transformers, and LLMs\u003c\/li\u003e\n\u003cli\u003eMaster agentic AI design patterns: Cognitive Loop, Planner-Executor-Verifier, multi-agent orchestration\u003c\/li\u003e\n\u003cli\u003eIdentify the AI Security Ecosystem attack surface across compute, data, model, and agent pipeline layers\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 2: Generative AI for SecOps and Risk Management\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDeploy RAG pipelines integrating live threat intelligence with chunk provenance validation\u003c\/li\u003e\n\u003cli\u003eBuild AI-powered security operations workflows including incident reporting chatbots\u003c\/li\u003e\n\u003cli\u003eEstablish a strong foundation in AI security risk management (CIA Triad, CVE, GenAI-specific risks, DLP)\u003c\/li\u003e\n\u003cli\u003eApply adaptive authentication and data protection patterns to AI system deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 3: Hacking AI Agents – Adversarial Techniques\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify OWASP ML Security Top Ten and OWASP LLM Top Ten risks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cul\u003e\n\u003cli\u003eExecute the full prompt injection taxonomy: direct, indirect, chained, multi-language, refusal suppression\u003c\/li\u003e\n\u003cli\u003eMaster jailbreaking (DAN), prompt leaking, and agent hijacking via crafted inputs\u003c\/li\u003e\n\u003cli\u003eApply MITRE ATLAS and NIST AML taxonomy; execute AI Red Teaming methodology\u003c\/li\u003e\n\u003cli\u003eUnderstand GenAI social engineering, deepfake attacks, and the AI offensive toolkit\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 4: Exploiting the AI Attack Surface\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConduct training data poisoning, model extraction, and membership inference attacks\u003c\/li\u003e\n\u003cli\u003eExecute token inference side-channel attacks, hallucination exploits, and payload splitting\u003c\/li\u003e\n\u003cli\u003ePerform AI-assisted memory forensics using Volatility 3 to detect advanced threats\u003c\/li\u003e\n\u003cli\u003eMap all attacks to the NIST AI 100-2 taxonomy and MITRE ATLAS matrix\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 5: Defending with Agents-Autonomous SecOps\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBuild autonomous multi-agent threat detection and response workflows with human-on-the-loop oversight\u003c\/li\u003e\n\u003cli\u003eIntegrate AI-based IDS, SOAR playbooks, and threat intelligence into agentic SecOps pipelines\u003c\/li\u003e\n\u003cli\u003eDeploy multi-agent systems using LangChain\/CrewAI with Kafka and Redis\/Celery for agent infrastructure\u003c\/li\u003e\n\u003cli\u003eAugment SIEM and SOAR with GenAI: NLP threat queries, playbook generation, AI-assisted triage\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eModule 6: AI Governance \u0026amp; Zero Trust for Agents\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eApply NIST AI RMF AI 600-1, OWASP LLM Governance Checklist, and regulatory frameworks to AI agent deployments\u003c\/li\u003e\n\u003cli\u003eImplement Zero Trust patterns for generative AI and agentic systems\u003c\/li\u003e\n\u003cli\u003eDeploy a role-aligned AI security agent with signed audit logging as the Zero Trust exit criterion\u003c\/li\u003e\n\u003cli\u003eUnderstand quantum computing implications and advanced persistent AI threats for future readiness\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Learning Tree","offers":[{"title":"267D89US \/ 2026-07-15T09:00:00 \/ Herndon, VA","offer_id":53142049128811,"sku":"US-2016-IL","price":2507.0,"currency_code":"USD","in_stock":true},{"title":"268B09CN \/ 2026-08-26T09:00:00 \/ Ottawa","offer_id":53142049161579,"sku":"US-2016-IL","price":2507.0,"currency_code":"USD","in_stock":true},{"title":"26AC33US \/ 2026-10-07T09:00:00 \/ Herndon, VA","offer_id":53142049194347,"sku":"US-2016-IL","price":2507.0,"currency_code":"USD","in_stock":true},{"title":"26CA45CN \/ 2026-12-02T09:00:00 \/ Ottawa","offer_id":53142049227115,"sku":"US-2016-IL","price":2507.0,"currency_code":"USD","in_stock":true},{"title":"271C78US \/ 2027-01-13T09:00:00 \/ Herndon, VA","offer_id":53142049259883,"sku":"US-2016-IL","price":2507.0,"currency_code":"USD","in_stock":true},{"title":"272A49CN \/ 2027-02-24T09:00:00 \/ Ottawa","offer_id":53142049292651,"sku":"US-2016-IL","price":2507.0,"currency_code":"USD","in_stock":true},{"title":"274C30US \/ 2027-04-14T09:00:00 \/ Herndon, VA","offer_id":53142049325419,"sku":"US-2016-IL","price":2507.0,"currency_code":"USD","in_stock":true},{"title":"275A53CN \/ 2027-05-19T09:00:00 \/ Ottawa","offer_id":53247624020331,"sku":"US-2016-IL","price":2507.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/learningtreeinternationalnylife.myshopify.com\/products\/agentic-security","provider":"Learning Tree International","version":"1.0","type":"link"}