| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 01. Introduction | |||
| 01. Welcome and course goals.mp4 | 16.9 MB | ||
| 01. Welcome and course goals.srt | 5 KB | ||
| 02. 1. Introduction to AI and LLMs in Cybersecurity | |||
| 01. Chapter introduction.mp4 | 13 MB | ||
| 01. Chapter introduction.srt | 3.8 KB | ||
| 02. The transformative potential of AI and LLMs in cybersecurity.mp4 | 15.1 MB | ||
| 02. The transformative potential of AI and LLMs in cybersecurity.srt | 7 KB | ||
| 03. 2. Core Concepts of AI Agents | |||
| 01. What are AI agents Definition, characteristics, and workflow.mp4 | 16.3 MB | ||
| 01. What are AI agents Definition, characteristics, and workflow.srt | 6.8 KB | ||
| 02. LLMs as the “brain” of AI agents Capabilities and limitations.mp4 | 20.8 MB | ||
| 02. LLMs as the “brain” of AI agents Capabilities and limitations.srt | 8.7 KB | ||
| 03. Agent autonomy levels in cybersecurity.mp4 | 15.4 MB | ||
| 03. Agent autonomy levels in cybersecurity.srt | 7.7 KB | ||
| 04. 3. Datasets and Data Handling for AI Agents in Cybersecurity | |||
| 01. Types of datasets in LLM for security Code-based, text-based, and combined.mp4 | 14.8 MB | ||
| 01. Types of datasets in LLM for security Code-based, text-based, and combined.srt | 9.2 KB | ||
| 02. Data pre-processing and representation for cybersecurity AI models.mp4 | 14.7 MB | ||
| 02. Data pre-processing and representation for cybersecurity AI models.srt | 9.2 KB | ||
| 03. Addressing data scarcity LLMs for data augmentation in cybersecurity.mp4 | 8.8 MB | ||
| 03. Addressing data scarcity LLMs for data augmentation in cybersecurity.srt | 2.5 KB | ||
| 05. 4. AI Agents in Threat Detection | |||
| 01. Chapter introduction.mp4 | 12.4 MB | ||
| 01. Chapter introduction.srt | 3.6 KB | ||
| 02. Real-time detection of cyber threats with AI.mp4 | 14.9 MB | ||
| 02. Real-time detection of cyber threats with AI.srt | 7.3 KB | ||
| 03. Automated vulnerability detection and analysis.mp4 | 14.6 MB | ||
| 03. Automated vulnerability detection and analysis.srt | 7.1 KB | ||
| 04. Malware analysis and classification with AI agents.mp4 | 12.3 MB | ||
| 04. Malware analysis and classification with AI agents.srt | 6.9 KB | ||
| 06. 5. AI Agents in Network and Social Engineering Security | |||
| 01. Network intrusion detection and attack classification.mp4 | 15 MB | ||
| 01. Network intrusion detection and attack classification.srt | 6.5 KB | ||
| 02. Detecting and defending against phishing attacks and deceptive language.mp4 | 13.8 MB | ||
| 02. Detecting and defending against phishing attacks and deceptive language.srt | 6.1 KB | ||
| 03. Leveraging AI for threat intelligence and attack surface management.mp4 | 13.5 MB | ||
| 03. Leveraging AI for threat intelligence and attack surface management.srt | 7.4 KB | ||
| 07. 6. Advanced Analysis Capabilities | |||
| 01. AI for System Log Analysis and Anomaly Detection.mp4 | 14.1 MB | ||
| 01. AI for System Log Analysis and Anomaly Detection.srt | 7.7 KB | ||
| 02. Reverse Engineering and Binary Analysis with AI Assistance.mp4 | 13.1 MB | ||
| 02. Reverse Engineering and Binary Analysis with AI Assistance.srt | 8.3 KB | ||
| 03. AI for understanding security and privacy policies.mp4 | 14.9 MB | ||
| 03. AI for understanding security and privacy policies.srt | 9 KB | ||
| 08. 7. AI Agents in Incident Response | |||
| 01. Chapter introduction.mp4 | 8.2 MB | ||
| 01. Chapter introduction.srt | 3.3 KB | ||
| 02. Automating vulnerability repair and patch generation.mp4 | 13.5 MB | ||
| 02. Automating vulnerability repair and patch generation.srt | 6.8 KB | ||
| 03. Streamlining incident response workflows and playbooks.mp4 | 13.7 MB | ||
| 03. Streamlining incident response workflows and playbooks.srt | 7.2 KB | ||
| 04. Post-attack analysis and root cause identification with AI.mp4 | 13.1 MB | ||
| 04. Post-attack analysis and root cause identification with AI.srt | 8 KB | ||
| 09. 8. Enhancing Security Operations Centres (SOCs) with Agentic AI | |||
| 01. AI for proactive defense and threat hunting.mp4 | 9.1 MB | ||
| 01. AI for proactive defense and threat hunting.srt | 6 KB | ||
| 02. AI-powered risk management and predictive analytics.mp4 | 12.6 MB | ||
| 02. AI-powered risk management and predictive analytics.srt | 6.7 KB | ||
| 03. Optimizing cybersecurity investments and compliance automation.mp4 | 13.8 MB | ||
| 03. Optimizing cybersecurity investments and compliance automation.srt | 7.9 KB | ||
| 04. Adaptive decision-making and continuous learning in SOC agents.mp4 | 12 MB | ||
| 04. Adaptive decision-making and continuous learning in SOC agents.srt | 8.2 KB | ||
| 10. 9. Security Risks and Vulnerabilities of AI Agents | |||
| 01. Chapter introduction.mp4 | 11.6 MB | ||
| 01. Chapter introduction.srt | 3.7 KB | ||
| 02. Overview of AI agent security challenges The four knowledge gaps.mp4 | 15.8 MB | ||
| 02. Overview of AI agent security challenges The four knowledge gaps.srt | 7.1 KB | ||
| 03. Inherent AI-related vulnerabilities Adversarial AI, data poisoning, and misalignment.mp4 | 14.6 MB | ||
| 03. Inherent AI-related vulnerabilities Adversarial AI, data poisoning, and misalignment.srt | 8 KB | ||
| 04. Agent-specific threats Prompt injection, jailbreaking, and supply chain vulnerabilities.mp4 | 10 MB | ||
| 04. Agent-specific threats Prompt injection, jailbreaking, and supply chain vulnerabilities.srt | 6.8 KB | ||
| 11. 10. Ethical Considerations and Governance Frameworks | |||
| 01. Challenges in LLM interpretability, trustworthiness, and ethical usage.mp4 | 7.2 MB | ||
| 01. Challenges in LLM interpretability, trustworthiness, and ethical usage.srt | 2.7 KB | ||
| 02. Addressing bias and fairness in AI agents.mp4 | 14.4 MB | ||
| 02. Addressing bias and fairness in AI agents.srt | 6.7 KB | ||
| 03. Designing responsible AI Governance models and human-in-the-loop (HITL).mp4 | 13 MB | ||
| 03. Designing responsible AI Governance models and human-in-the-loop (HITL).srt | 6.3 KB | ||
| 12. 11. Future Directions and Advanced Concepts | |||
| 01. Expanding LLM capabilities and multimodal AI.mp4 | 16 MB | ||
| 01. Expanding LLM capabilities and multimodal AI.srt | 6.6 KB | ||
| 02. Security for LLMs and proactive self-defense.mp4 | 17.2 MB | ||
| 02. Security for LLMs and proactive self-defense.srt | 6.9 KB | ||
| 03. The roadmap for AI agents in cybersecurity Opportunities and future research.mp4 | 16.7 MB | ||
| 03. The roadmap for AI agents in cybersecurity Opportunities and future research.srt | 7.1 KB | ||
| 04. Course wrap-up video.mp4 | 12.4 MB | ||
| 04. Course wrap-up video.srt | 2.7 KB | ||
| 04. Multi-agent systems Collaboration and complexity.mp4 | 12.1 MB | ||
| 04. Multi-agent systems Collaboration and complexity.srt | 6.4 KB | ||
| 05. Memory and learning in AI agents.mp4 | 13.1 MB | ||
| 05. Memory and learning in AI agents.srt | 6 KB | ||
| 06. Adapting LLMs for cybersecurity Fine-tuning, prompt engineering, and augmentation.mp4 | 15 MB | ||
| 06. Adapting LLMs for cybersecurity Fine-tuning, prompt engineering, and augmentation.srt | 7.5 KB | ||
| 03. Defining large language models (LLMs) and their architectures.mp4 | 29.2 MB | ||
| 03. Defining large language models (LLMs) and their architectures.srt | 13.1 KB | ||
| 04. Evolution of AI in cybersecurity From ML to agentic AI.mp4 | 15.7 MB | ||
| 04. Evolution of AI in cybersecurity From ML to agentic AI.srt | 7.2 KB |
AI Agents for Cybersecurity (2026)
https://WebToolTip.com
Released 3/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 3h 55m | Size: 604.46 MB
Learn how to deploy autonomous AI agents in security operations, including SOC automation, anomaly detection, and real-time threat mitigation frameworks.
Course details
AI agents represent the next evolution in cybersecurity defense. These autonomous systems can perceive their environment, engage in genuine reasoning, and take decisive action in real-time, creating a new paradigm for proactive defensive strategies. This comprehensive course begins with the philosophical and technical underpinnings of AI agents and progresses to their implementation within Security Operations Centers. Learn how these intelligent systems are revolutionizing threat detection, automating vulnerability analysis, streamlining incident response, and enabling proactive threat hunting. Plus, develop a deep understanding of the security considerations and ethical implications that arise when deploying autonomous AI systems in high-stakes cybersecurity environments. Ideal for security analysts, SOC managers, and cybersecurity professionals, this course provides the knowledge and practical insights you need to harness the power of AI agents responsibly and effectively. This course was created by Starweaver. We are pleased to host this training in our library.
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| 3.4 GB | freecoursewb | 3 weeks | 15 | 8 | |
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ZerotoMastery - Azure Bootcamp - Build AI Workflows and Agents with Microsoft Foundry Posted by
freecoursewb in Other
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| 1.3 GB | freecoursewb | 1 month | 22 | 14 | |
| 1.9 GB | freecoursewb | 1 month | 6 | 3 | |
| 1.6 GB | freecoursewb | 2 months | 0 | 0 |
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