| 1 -AI-Powered Alert Triage.mp4 | 59.9 MB | ||
| 1 -From LLMs to Autonomous Agents.mp4 | 67.5 MB | ||
| 1 -Log Monitoring with Agents.mp4 | 46.4 MB | ||
| 1 -Vulnerability Management Agents.mp4 | 49 MB | ||
| 1 -What You’ll Learn & Why It Matters.mp4 | 74.6 MB | ||
| 2 -Auto-Documentation of Incidents.mp4 | 44.9 MB | ||
| 2 -Building & Securing AI Agents.mp4 | 48.7 MB | ||
| 2 -Components & Architectures of Cyber Agents.mp4 | 59.9 MB | ||
| 2 -Detecting Phishing & Malicious Content.mp4 | 69.8 MB | ||
| 3 -Autonomous Threat Hunting.mp4 | 78.1 MB | ||
| 3 -Connecting to Cybersecurity Systems.mp4 | 50.2 MB | ||
| 3 -Deployment & Real-Time Monitoring.mp4 | 51.4 MB | ||
| 3 -Mapping Events to MITRE ATT&CK.mp4 | 52.8 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
AI Agents for Cybersecurity by Professional Skills Learning Academy
https://WebToolTip.com
Published 7/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 37m | Size: 753 MB
Automating vulnerability detection, prioritization, and remediation with AI agents.
What you'll learn
Understand AI Agent Fundamentals: Grasp the evolution from LLMs to autonomous AI agents and their pivotal role in cybersecurity.
Identify Core Components: Explain key elements such as planning, tool usage, memory, and prompt chaining that power effective AI agents.
Architectural Proficiency: Analyze popular agent architectures (ReAct, Chain-of-Thought, AutoGPT) and determine their applicability in cyber defense.
Integration with Cybersecurity Systems: Learn how to connect AI agents with SIEM, SOAR, and EDR tools to enhance security operations.
Real-Time Threat Detection: Develop the skills to use AI agents for processing log data, identifying anomalies, and detecting phishing or malicious content.
Mapping and Classification Techniques: Apply AI-based methods to classify cyber threats using frameworks like MITRE ATT&CK.
SOC Automation Strategies: Automate key security operations, including alert triaging, incident documentation, and threat hunting using AI agents.
Vulnerability Management Automation: Implement AI-driven solutions to continuously scan for vulnerabilities, prioritize risks, and recommend timely patching act
Practical Agent Development: Build a functional AI agent with hands-on coding exercises using frameworks like LangChain and integrate it with external APIs.
Security & Compliance: Ensure agents are designed with robust security measures to prevent data leakage, misuse, and maintain compliance with industry standards
Deployment & Integration: Deploy AI agents in enterprise environments by integrating them with collaboration tools like Slack or Microsoft Teams for real-time a
Capstone Project Implementation: nstrate comprehensive expertise by designing, building, and deploying a complete AI agent solution that handles practical c
Requirements
There are no requirements or prerequisites for taking this course.
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