NIST Official Kat Megas Evaluated Artificial Intelligence and Cybersecurity Risks

National Institute of Standards and Technology Artificial Intelligence Accelerator Director Kat Megas evaluated the cybersecurity risks, non-deterministic structures, system drift, and defense mechanisms that federal agencies face during the artificial intelligence integration process.

Major Shift in Artificial Intelligence Awareness

With the introduction of generative artificial intelligence technologies into our lives in particular, the level of awareness in both the private sector and public institutions has increased dramatically.

Non-Deterministic Structure in Generative Artificial Intelligence

Unlike traditional software development, achieving predictable results in artificial intelligence systems is becoming difficult, and these systems can change over time.

System Drift and Post-Deployment Monitoring

It is critically important for organizations to detect drift in artificial intelligence models early and establish continuous post-deployment monitoring programs.

Leveraging Artificial Intelligence to Strengthen Cyber Defense

Institutions can benefit from artificial intelligence to discover and prioritize vulnerabilities and to reduce the alert fatigue experienced by cybersecurity workers.