Скачать или смотреть 🔒 Securing AI Agents with the MAESTRO Framework — Threat Modeling for Autonomous Systems

You’ll see real-world examples and learn how attackers target agentic AI with advanced threats—and get actionable strategies for each layer of the complete MAESTRO framework to secure AI-powered agents. Perfect for AI builders, cybersecurity professionals, and anyone deploying autonomous AI systems in production!

⏱️ TIMESTAMPS:
0:00 - Intro & Revolution of Agentic AI
1:10 - Why Traditional Security Frameworks Fall Short (STRIDE, PASTA)
2:00 - Unique Threats Facing Agentic AI (Data Poisoning, Prompt Injection)
3:00 - MAESTRO Framework Overview
4:10 - The 7 Layers of MAESTRO (Defense in Depth)
5:10 - Agent Ecosystem Example
6:10 - Data Operations Example
7:00 - Foundation Model & Model Theft
8:00 - Building Trustworthy AI Agents
9:00 - Dynamic, Layered Security Mindset
10:00 - Summary & Next Steps

🛡️ COMPLETE MAESTRO FRAMEWORK LAYERS:

Layer 1: Foundation Model — Protect core model brain from theft and reverse engineering.

Layer 2: Data Operations — Safeguard data sources, pipelines, and memory from poisoning and manipulation.

Layer 3: Knowledge Integration — Secure connections between foundation model and integrated knowledge bases (including retrieval-augmented generation, RAG).

Layer 4: Planning & Reasoning — Defend agent planning logic and intermediate reasoning from adversarial manipulation or goal hijacking.

Layer 5: Action Modules — Validate and restrict actions/output modules such as plugins, system commands, and external API access.

Layer 6: Communication Interface — Filter prompts, outputs, and user interactions to prevent injection attacks and leaked sensitive data.

Layer 7: Agent Ecosystem — Secure the external environment, digital marketplaces, user trust ratings, and interactions with other AIs.

Key Takeaways:

MAESTRO fixes legacy blind spots by focusing on AI-centric risks and layering security from the brain to the ecosystem.

Empowers you to systematically protect every stage of your AI agents—from data and logic, to outputs and interactions.

💡 WHY VISUALIZATION WORKS:
This video uses whiteboard-style visuals to make threat modeling for agentic AI instantly more memorable—so you can understand risks and build protection fast!

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⚠️ COMMENT BELOW:
What agentic AI threat worries you most—goal manipulation or data poisoning? Let me know! 👇

🏷️ Made with Google NotebookLM for visual, rapid learning

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