| File Name: | Strategies in Secure AI Systems: From GenAI and Agentic AI |
| Content Source: | https://www.udemy.com/course/strategies-in-secure-ai-systems/ |
| Genre / Category: | Ai Courses |
| File Size : | 3.6 GB |
| Publisher: | Derek Fisher |
| Updated and Published: | January 1, 2026 |
Master AI Security in the Age of Autonomous Systems: The Complete GenAI & Agentic AI Defense Strategy. Are you ready to defend against the next generation of AI threats? The attack surface has fundamentally changed—and traditional security is no longer enough. In an era where AI systems autonomously make decisions, generate content, and interact with critical infrastructure, a new paradigm of vulnerabilities has emerged. Welcome to the “Semantic Shift”—where attackers no longer exploit code syntax but manipulate meaning and intent itself.
Why This Course Is Essential for Your Career:
- For Security Professionals: Traditional application security focused on SQL injection and buffer overflows. Today’s threats? Prompt injection attacks that hijack AI reasoning, data poisoning that corrupts model behavior, and cascading failures across multi-agent systems. This course bridges the gap between classic AppSec and the emerging AI threat landscape.
- For AI/ML Engineers: Building cutting-edge AI systems means nothing if they can be compromised through semantic manipulation. Learn to architect secure-by-design AI applications that withstand real-world adversarial tactics documented in MITRE ATLAS™.
- For Compliance & Risk Leaders: Navigate the complex web of AI regulations—from the EU AI Act’s risk tiers to US Executive Order 14110 and FDA Predetermined Change Control Plans. Transform regulatory requirements into actionable security controls.
What Makes This Course Different
Industry-Leading Frameworks Integrated:
- OWASP Top 10 for LLM Applications (2025) – Master the latest vulnerabilities from Prompt Injection to Supply Chain attacks
- OWASP Top 10 for Agentic AI (ASI) – Learn unique risks in autonomous systems: Agent Goal Hijacking, Tool Misuse, Identity Abuse
- NIST AI RMF – Implement GOVERN, MAP, MEASURE, MANAGE functions for enterprise-scale AI risk management
- MITRE ATLAS™ – Understand real-world ML attack tactics and techniques used by adversaries
- Hands-On with the LLMSecOps Infinity Loop: Go beyond theory with a complete 9-stage secure lifecycle framework covering everything from initial scoping through continuous monitoring—specifically designed for AI systems.
- Quantify Risk Like Never Before: Learn the groundbreaking AIVSS Scoring System that combines traditional CVSS metrics with the Agentic AI Risk Score (AARS), giving you a standardized way to communicate AI-specific risks to stakeholders and calculate security ROI.
- Privacy-Enhancing Technologies (PETs) Mastery: Implement cutting-edge protection with Differential Privacy, Federated Learning, Homomorphic Encryption, and Trusted Execution Environments—securing sensitive training data without sacrificing model performance.
Real-World Application: The PHAIMIS Case Study
Culminate your learning with an intensive examination of a safety-critical pharmacy inventory system. Apply NIST, MITRE, and OWASP standards to a real-world scenario where AI security failures have direct patient safety implications.
DOWNLOAD LINK: Strategies in Secure AI Systems: From GenAI and Agentic AI
Strategies_in_AI_Systems_From_GenAI_and_Agentic_AI.part1.rar – 1000.0 MB
Strategies_in_AI_Systems_From_GenAI_and_Agentic_AI.part2.rar – 1000.0 MB
Strategies_in_AI_Systems_From_GenAI_and_Agentic_AI.part3.rar – 1000.0 MB
Strategies_in_AI_Systems_From_GenAI_and_Agentic_AI.part4.rar – 600.0 MB
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