Published file metadata, source observations, indicators, and research history in one bounded catalog.
2,400+Reachable catalog records
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Feed collection status
Sources represented on this page. Publication and observation dates describe the content; successful batch dates describe local collection. A recent batch does not certify complete coverage or current provider availability.
intelligence_src_7761a3f085777897a3Recent successful batchLast successful batch: Last attempt:
intelligence_src_7832fd302ddcf52920Recent successful batchLast successful batch: Last attempt:
Stale means older than twice the recorded collection interval, with a minimum of one hour; without an interval, the threshold is 24 hours. Cached content remains available while a feed is stale, paused, or unverified.
2,400+ MATCHING RECORDSMETADATA ONLY / SOURCE ATTRIBUTION PRESERVED
Update: The comment period for your feedback on the second public draft of NIST IR 8259 has been extended through December 10, 2025. Over the past few months, NIST has been revising and updating Foundational Activities for IoT Product Manufacturers (NIST IR 8259 Revision 1 Initial Public Draft), which describes recommended pre-market and post-market activities for manufacturers to develop products that meet their customers’ cybersecurity needs and expectations. Thank you so much for the thoughtful comments and feedback throughout this process; 400+ participants across industry, consumer
First reported Sep 30, 2025 12:00 UTCCatalog metadata updated Oct 13, 2026 23:44 UTCOpen evidence record
For over two decades, the NIST National Vulnerability Database (NVD) has served as the U.S. government repository for standards-based vulnerability management data and as a foundational resource for cybersecurity risk analysis, vulnerability management, compliance automation, and software security. New Opportunities for the NVD via Automation Our cybersecurity landscape is changing dramatically and is being reconfigured by artificial intelligence (AI) in unique, exciting, and yes, sometimes challenging ways. This is creating openings to potentially leverage AI systems to discover and exploit
First reported Aug 12, 2026 12:00 UTCCatalog metadata updated Oct 13, 2026 23:44 UTCOpen evidence record
Celebrate this milestone with us! Email us at csf [at] nist.gov (csf[at]nist[dot]gov) or tag @NISTcyber on X telling us what your favorite CSF 2.0 resource is (or how your organization has benefitted from implementing the CSF 2.0). Today marks two years since the publication of the Cybersecurity Framework (CSF) 2.0! Published in 2024, the CSF 2.0 included the addition of a Govern Function, increased emphasis on cybersecurity supply chain risk management, updated categories and subcategories to address current threat and technology shifts, and expansion into a suite of resources designed to make the CSF 2.0 easier to
First reported Feb 24, 2026 12:00 UTCCatalog metadata updated Oct 13, 2026 23:44 UTCOpen evidence record
This blog is part of a larger NIST series during the month of October for Cybersecurity Awareness Month , called 'Staff Stories Spotlight.' Throughout the month of October this year, Q&A style blogs will be published featuring some of our unique staff members who have interesting backgrounds, stories to tell, and projects in the world of cybersecurity. This year’s Cybersecurity Awareness Month theme is ‘Secure our World.’ How does this theme resonate with you, as someone working in cybersecurity? The theme ‘Secure our World’ resonates with me because I enjoy researching about cybersecurity
First reported Oct 09, 2024 12:00 UTCCatalog metadata updated Oct 13, 2026 23:44 UTCOpen evidence record
The rapid proliferation of Artificial Intelligence (AI) promises significant value for industry, consumers, and broader society, but as with many technologies, new risks from these advancements in AI must be managed to realize it’s full potential. The NIST AI Risk Management Framework (AI RMF) was developed to manage the benefits and risks to individuals, organizations, and society associated with AI and covers a wide range of risk ranging from safety to lack of transparency and accountability. For those of us at NIST working in cybersecurity, privacy and AI, a key concern is how advancements
First reported Sep 19, 2024 12:00 UTCCatalog metadata updated Oct 13, 2026 23:44 UTCOpen evidence record
This post is part of a series on privacy-preserving federated learning. The series is a collaboration between NIST and the UK government’s Responsible Technology Adoption Unit (RTA), previously known as the Centre for Data Ethics and Innovation. Learn more and read all the posts published to date at NIST’s Privacy Engineering Collaboration Space or RTA’s blog . Introduction In this post, we talk with Dr. Xiaowei Huang and Dr. Yi Dong (University of Liverpool) and Sikha Pentyala (University of Washington Tacoma), who were winners in the UK-US PETs Prize Challenges . We discuss real-world data
First reported Dec 05, 2024 12:00 UTCCatalog metadata updated Oct 13, 2026 23:44 UTCOpen evidence record
This blog is part of a larger NIST series during the month of October for Cybersecurity Awareness Month , called 'Staff Stories Spotlight.' Throughout the month of October this year, Q&A style blogs will be published featuring some of our unique staff members who have interesting backgrounds, stories to tell, and projects in the world of cybersecurity. This year’s Cybersecurity Awareness Month theme is ‘Secure our World.’ How does this theme resonate with you, as someone working in cybersecurity? Now more than ever, the use of technology is central to our lives. It is the means by which we are
First reported Oct 15, 2024 12:00 UTCCatalog metadata updated Oct 13, 2026 23:44 UTCOpen evidence record
How security leaders get ATT&CK wrong and what you can do about it
First reported Mar 21, 2024 14:30 UTCCatalog metadata updated Oct 13, 2026 23:42 UTCOpen evidence record
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A filename, label, or report mention alone does not establish maliciousness. Observation dates describe cited sources; collection dates describe this local metadata catalog. No malware samples are stored, fetched, or executed by these pages.