Organizations that integrate Artificial Intelligence into their workforce and offerings are accelerating innovation, but many are unprepared for the security challenges that come with it. As they rush to deploy more efficient and cost-effective models, they often overlook the risks of model manipulation and adversarial attacks, threats that traditional defenses are not equipped to detect or stop. At the same time, many leaders are still grappling with how to safely and securely operationalize AI across their environments. As AI becomes deeply embedded in both business operations and critical infrastructure, the risks are expanding rapidly and at a global scale.
To help organizations navigate these risks and assist them in taking back control, the SANS Institute has released its Critical AI Security Guidelines v1.0, a practical, operations-driven framework built for defenders and leaders who need to secure AI systems.
The guidelines focus on six critical areas: Access Controls, Data Protection, Deployment Strategies, Inference Security, Monitoring, and Governance, Risk and Compliance. They are designed to provide security teams and leadership with clear, practical direction for defending AI systems in real-world environments.
