AI Agents for Cybersecurity by Professional Skills Learning Acade...

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.