Navigating the Initial AI Best-Practice Framework Offerings
Join Director of Advisory Innovation Rockie Brockway as he breaks down each AI security framework so you can choose the best fit for your organization.
As organizations adopt AI, security teams face a new challenge: knowing which guidance to follow. NIST, OWASP, the Cloud Security Alliance (CSA), and others have released early AI security frameworks, and each has its own focus, strengths, and gaps. For security leaders trying to build or mature an AI security program, sorting through these options can be as hard as securing the technology itself.
In our next webinar, we will walk through the current landscape of AI best-practice frameworks, covering what each major framework offers, where it works well, where it falls short, and how to decide which elements fit your organization's needs. Attendees will leave with a clearer view of the AI framework landscape and a practical model for assessing and growing their own AI security program.
Key Takeaways:
- How the major AI security frameworks from NIST, OWASP, CSA, and others compare
- The pros and cons of each framework and how to choose among them
- The core components of a mature AI security program
- How to use a maturity-based approach to measure and improve your organization's AI security
Join Director of Advisory Innovation Rockie Brockway as he breaks down each AI framework so you can choose the best fit for your organization. Rockie will also introduce TrustedSec's new AI Security (AISec) Performance Maturity Framework. Like TrustedSec's OpSec Performance Maturity Framework, it draws on many sources, including TrustedSec Security Testing experts, to build a modular, agile performance framework that includes everything TrustedSec looks for in an AI security program.
What should a strong AI security program include? Whether you're just beginning to address AI risk or refining an existing program, this session will help you move forward with confidence. Register today!