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<feed xml:lang="en-us" xmlns="http://www.w3.org/2005/Atom"><title>SEI News | None</title><link href="http://www.sei.cmu.edu/feeds/topic/vulnerability-analysis/atom/" rel="alternate"/><link href="http://www.sei.cmu.edu/feeds/topic/vulnerability-analysis/atom/" rel="self"/><id>http://www.sei.cmu.edu/feeds/topic/vulnerability-analysis/atom/</id><updated>2026-01-07T00:00:00-05:00</updated><subtitle>Updates on changes and additions to SEI News for posts matching: Vulnerability Analysis</subtitle><entry><title>SEI Parser Demystifies Firmware to Fight Vulnerabilities</title><link href="https://www.sei.cmu.edu/news/sei-parser-demystifies-firmware-to-fight-vulnerabilities/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2026-01-07T00:00:00-05:00</published><updated>2026-01-07T00:00:00-05:00</updated><author><name>Software Engineering Institute Public Relations</name></author><id>https://www.sei.cmu.edu/news/sei-parser-demystifies-firmware-to-fight-vulnerabilities/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">A new, open source parser reveals the architecture of UEFI software, a veiled source of vulnerabilities.</summary><category term="Vulnerability Analysis"/><category term="Vulnerability Discovery"/><category term="Malware"/></entry><entry><title>New Research Supports SEI AISIRT Mission to Secure Artificial Intelligence</title><link href="https://www.sei.cmu.edu/news/new-research-supports-sei-aisirt-mission-to-secure-artificial-intelligence/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2025-03-26T00:00:00-04:00</published><updated>2025-03-26T00:00:00-04:00</updated><author><name>Software Engineering Institute Public Relations</name></author><id>https://www.sei.cmu.edu/news/new-research-supports-sei-aisirt-mission-to-secure-artificial-intelligence/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">Academia, industry, and the SEI collaborated to illuminate the need for coordinated disclosure of AI vulnerabilities and propose solutions.</summary><category term="Vulnerability Analysis"/><category term="Artificial Intelligence"/><category term="CERT/CC"/></entry><entry><title>Software Engineering Institute Establishes AI Security Incident Response Team</title><link href="https://www.sei.cmu.edu/news/software-engineering-institute-establishes-ai-security-incident-response-team/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2023-11-28T00:00:00-05:00</published><updated>2023-11-28T00:00:00-05:00</updated><author><name>Software Engineering Institute Public Relations</name></author><id>https://www.sei.cmu.edu/news/software-engineering-institute-establishes-ai-security-incident-response-team/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">The Software Engineering Institute at Carnegie Mellon University today announced the formation of the Artificial Intelligence Security Incident Response Team (AISIRT) to help ensure the safe and effective development and use of AI. AISIRT will analyze and respond to threats and security incidents emerging from advances in AI and machine learning (ML).</summary><category term="Vulnerability Analysis"/><category term="Cybersecurity"/><category term="Artificial Intelligence"/></entry></feed>