Carnegie Mellon Software Engineering Institute Forms AI Security Incident Response Team

The Software Engineering Institute (SEI) at Carnegie Mellon University has created an Artificial Intelligence Security Incident Response Team (AISIRT) to analyze and respond to threats and security incidents involving the use of AI and machine learning (ML). The team will focus on dealing with threats from many different AI and ML systems, including commerce, lifestyle, and important infrastructure such as defense and national security, the SEI said. The team will also lead research into AI and ML incident analysis, response, and vulnerability mitigation.

The SEI noted that the rapid expansion of AI and ML platforms and software has presented serious safety risks from improper use or deliberate misuse. Prevention and mitigation of threats requires cooperation among academia, industry, and government, it said.

AISIRT will draw upon university cybersecurity, AI, and ML experts and work on furthering the recommendations made by the White House's Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, released in October 2023.

"AI and cybersecurity experts at the SEI are currently at work on AI- and ML-related vulnerabilities that, if left unaddressed, may be exploited by adversaries against national assets with potentially disastrous consequences," said SEI Director and CEO Paul Nielsen. "Our research in this rapidly emerging discipline reinforces the need for a coordination center in the AI ecosystem to help engender trust and to support advancing the safe and responsible development and adoption of AI."

This is not the SEI's first foray into cybersecurity, the institute said. Its CERT Coordination Center has been operating since 1988 to address vulnerabilities in computer systems. SEI also heads the National AI Engineering Initiative, and its experts are working on practices that support secure and human-centered AI.

Those who have experienced or are experiencing AI vulnerabilities or attacks may report them to AISIRT here.

About the Author

Kate Lucariello is a former newspaper editor, EAST Lab high school teacher and college English teacher.

Featured

  • programming code and digital gears

    NVIDIA Intros Open Source Tools for Building and Deploying AI Agents

    At its recent GTC 2026 conference, NVIDIA rolled out a new open source software package designed to help organizations build, deploy, and manage AI agents.

  • cyber security padlock

    AI Adoption Forces Trade-Off Between Speed and Identity Security, Study Finds

    AI adoption is forcing enterprises to trade security for speed — and identity controls are the first casualty, according to a new report from Delinea, a provider of identity security solutions for both human and AI agent identities.

  • large group of college students sitting on an academic quad

    Student Readiness: Learning to Learn

    Melissa Loble, Instructure's chief academic officer, recommends a focus on 'readiness' as a broader concept as we try to understand how to build meaningful education experiences that can form a bridge from the university to the workplace. Here, we ask Loble what readiness is and how to offer students the ability to 'learn to learn'.

  • Digital Network of User Profiles and Data Connections

    Microsoft, RSA Make Identity Security Push in the Age of AI

    Two of the bigger authentication announcements to come out of the recent RSA Conference both point in the same direction: Organizations need a more flexible, unified approach to identity security, especially as AI agents start acting alongside human workers.