| 1 -AI Safety and Alignment.mp4 | 52.2 MB | ||
| 1 -Federated Learning Security.mp4 | 66.1 MB | ||
| 1 -Hardening the Agent Core.mp4 | 58.5 MB | ||
| 1 -Logging and Auditing Agent Actions.mp4 | 44.9 MB | ||
| 1 -New Attack Vectors.mp4 | 42.5 MB | ||
| 1 -The Future of AI Security.mp4 | 48.7 MB | ||
| 1 -Welcome.mp4 | 11 MB | ||
| 1 -What are AI Agents.mp4 | 88.6 MB | ||
| 2 -Architectures of AI Agents.mp4 | 46.8 MB | ||
| 2 -Detecting Anomalous Agent Behavior.mp4 | 48 MB | ||
| 2 -Prompt Injection and Hijacking.mp4 | 46 MB | ||
| 2 -Risk Assessment Frameworks.mp4 | 63.5 MB | ||
| 2 -Secure Tool and API Usage.mp4 | 48.4 MB | ||
| 2 -Swarm Intelligence Security.mp4 | 55.5 MB | ||
| 3 -Data Poisoning and Evasion.mp4 | 51 MB | ||
| 3 -Developing AI Security Policies.mp4 | 48.8 MB | ||
| 3 -Incident Response for AI Systems.mp4 | 52.1 MB | ||
| 3 -Input and Output Sanitization.mp4 | 47.3 MB | ||
| 3 -Introduction to Distributed AI.mp4 | 9.4 MB | ||
| 3 -Secure Multi-Agent Communication.mp4 | 51.5 MB | ||
| 4 -Containment and Sandboxing.mp4 | 60.7 MB | ||
| 4 -Establishing Trust Between Agents.mp4 | 55.3 MB | ||
| 4 -Malicious Use of Autonomous Agents.mp4 | 52 MB | ||
| 4 -Regulatory and Legal Landscape.mp4 | 57.7 MB | ||
| 4 -The Agentic AI Ecosystem.mp4 | 54.7 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 27 total files | |||
Agentic AI Security: Securing the Next AI Frontier
https://WebToolTip.com
Published 7/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 17m | Size: 1.24 GB
Master the art of protecting autonomous AI agents and distributed systems from advanced threats like hijacking and data
What you'll learn
Identify and analyze new attack vectors specific to agentic and distributed AI systems, such as prompt injection and data poisoning.
Implement security measures to harden individual AI agents, including secure API usage, input/output sanitization, and sandboxing.
Apply security principles to distributed AI systems, including federated learning and multi-agent communication protocols.
Develop AI security policies and risk assessment frameworks to ensure governance, compliance, and alignment with AI safety principles.
Requirements
A foundational understanding of AI and Machine Learning concepts. Basic knowledge of cybersecurity principles is recommended, but not strictly required. No specific tools or software are needed before starting the course.
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