Simbian Learning Center | AI Security Insights
Simbian Learning Center
AI Agents
How autonomous AI agents work, what they can do, and how to apply them safely in security.
AI SOC
Using AI agents to triage, investigate, and respond across the Security Operations Center.
- AI in the SOC
- AI SOC Agent Capabilities
- SOC Workflows and Challenges
- Staffing and Roles in an AI SOC
- Comparing AI SOC to Other Solutions
AI Pentest
Using AI pentest agents to find, prove, and verify fixes for application, API, network, and cloud vulnerabilities — continuously, on-demand.
- AI in Penetration Testing
- AI Pentest vs Other Approaches
- Penetration Testing Fundamentals
- Cost, Cadence, and Compliance
- Tools, Reports, and the Pentester Role
AI GRC
Automating governance, risk, and compliance work with large language models and agents.
AI Threat Hunting
Proactive, hypothesis-driven hunting for attacker activity no alert fired on — the frameworks, techniques, tools, and how AI agents run hunts at scale.
- Threat Hunting Fundamentals
- Threat Hunting Methodology and Frameworks
- Threat Hunting Techniques, Types, and Surfaces
- AI and Autonomous Threat Hunting
- Threat Hunting Tools and Platforms
- Metrics, ROI, and Maturity
- +1 more topic
Security Operations
The fundamentals of cybersecurity and security operations — the lifecycle, the SOC, the stack, the metrics, and what they actually measure.