AI in cybersecurity learning center

We've sourced several guides and checklists covering some of the most important topics facing cybersecurity professionals when it comes to AI in cybersecurity. Find insights to put to practice, identified and compiled by security experts.

Learn about AI in cybersecurity

It's vital for cybersecurity professionals to stay informed about emerging threats, vendor risk security strategies, and evolving regulatory requirements regarding Artificial Intelligence and Agentic AI. This resource center offers valuable insights into key areas such as Model Context Protocol (MCP) & third-party risk, AI governance, Frontier AI security, and more. Having a deeper understanding of these foundational topics is crucial for security and risk managers looking to strengthen their organization’s security posture and proactively mitigate risks.

AI-Driven Exposure Management

Learn the difference between vulnerability management, Continuous Threat Exposure Management (CTEM), and AI-driven exposure management

AI Governance Framework

A guide to AI governance frameworks, best practices, and managing enterprise risk

Frontier AI

Learn what Mythos-class attacks look like in practice, how security teams can defend against these threats, and frameworks to adopt regarding Frontier AI

Model Context Protocol (MCP) & Third-Party Risk

A guide to MCP, securing deployment, and understanding associated third-party risk

Shadow AI

An overview of Shadow AI: detection, compliance risk, and best practices

Bitsight AI

Bitsight AI is the intelligence layer embedded across the Bitsight Platform, designed to simplify cyber risk management and accelerate decision-making. It transforms vast volumes of cyber risk data into clear, contextual insights—enabling organizations to detect threats, assess exposures, and prioritize actions with unprecedented speed and accuracy.

By powering everything from real-time threat detection and asset mapping to automated reporting and remediation recommendations, Bitsight AI helps security and risk teams scale operations, reduce manual effort, and align cybersecurity actions with business outcomes.