security
January 2, 2024: We’ve updated this post to include the new failover Region feature. April 29, 2021: We’ve updated the order of the commands in Step 1. April 23, 2021: We’ve updated the commands in Steps 1 and 5 and in the “Additional Features” section. Using AWS Secrets Manager, you can more securely retrieve secrets […]
Blue Team playbooks are essential—but tools like Wazuh take them to the next level. From credential dumping to web shells and brute-force attacks, see how Wazuh strengthens real-time detection and automated response.
A prompt injection in a GitHub issue triggered a chain reaction that ended with 4,000 developers getting OpenClaw installed without consent. The attack composes well-understood vulnerabilities into something new: one AI tool bootstrapping another.
SANS Internet Storm Center - A global cooperative cyber threat / internet security monitor and alert system. Featuring daily handler diaries with summarizing and analyzing new threats to networks and internet security events.
For 21 years, fast16 corrupted nuclear research calculations without anyone noticing. It predates Stuxnet by five years. The math was always wrong.
On April 21, 2026, a major breakthrough in cybersecurity happened: leading standardization initiatives gathered in Washington DC and agreed to begin coordinating collectively on AI security. A personal dream come true. The result: MOSAIC: Multi-Organization Secure AI Coordination. The goal: turn a fragmented landscape into clear, consistent standards and guidelines, to deal with the mounting risks of AI.
This important step was taken at the AI Security Policy Forum, organised and led by the OWASP AI Exchange, with SANS Institute as co-host - convening standard makers and policy stakeholders.
The initiatives at the table included: 👉 BIML (Berryville Institute of Machine Learning) 👉 Center for Internet Security (CIS) 👉 Cloud Security Alliance (CSA) 👉 Coalition for Secure AI (CoSAI) 👉 National Institute of Standards and Technology (NIST) 👉 OWASP AI Exchange (AIX) 👉 OWASP GenAI Security Project 👉 SANS Institute
The group agreed that it is now more important than ever to coordinate around the rapidly evolving possibilities and challenges of AI, as AI security risks mount.
One of the next steps is to provide a standardized map of the participating initiatives and a communication platform to exchange insights on a first list of identified topics (e.g., aligning with other initiatives such as SC42, building on OpenCRE, consensus on definitions), improve consistency, clarity, quality, and prevent unnecessary duplication. The idea is to move fast while maintaining independence and with lightweight coordination - not add more committees.
In addition to the organizations mentioned, the discussion also included journalists, representatives from International Telecommunication Union (ITU), The Aspen Institute, academia, and government — providing valuable perspectives on developments in both policy and industry. This helped prioritize the topics to focus on.
In the picture, from left to right, standing to sitting: Disesdi Shoshana Cox (AIX), Gary McGraw(BIML), Rob van der Veer (AIX), Anonymous, Duncan Sparrell, John Yeoh (CSA), Rock Lambros (GenAI), Norma Krayem, Brian Calkin (CIS), Matt Altomare (Aspen), Omar Santos (CoSAI), Aruneesh Salhotra (AIX), Jonathan Gibson (The Dispatch), Apostol Vassilev (NIST), Rhea Nygard, Ken Huang, Lav Varshney (Stony Brook University), Sounil Yu, and Sharon Goldman (Fortune)
Not in the picture, but involved, in alphabetical order: Rob T. Lee (SANS), Ryan Galluzzo (NIST), Soribel F.
A big thank you to: 👏 Disesdi Shoshana Cox for her idea to bring everybody together in a room to fulfil the connecting mission of the Exchange 👏 The amazing thinktank at the AI Exchange 👏 Spyros Gasteratos for his work on OpenCRE 👏 Violeta Klein, CISSP, CEFA for shaping the story for the Forum 👏 Straiker, Casco (YC X25), AI Security Academy, and SANS for supporting the Forum. 👏 Software Improvement Group for donating the original threat model and initiating the AI Exchange
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Download the Writeup Illustration Romain Flamand – Flamingo Studio – [email protected] Abstract Secure elements are small microcontrollers whose main purpose is to generate/store secrets and then execute cryptographic operations. They undergo the highest level of security evaluations that exists (Common Criteria) and are often considered inviolable, even in the worst-case attack scenarios. Hence, complex secure […]
A proposed standard that allows websites to define security policies.
A new command injection vulnerability in OpenSSH, tracked as CVE-2025-61984, has been disclosed, which could allow an attacker to achieve remote code execution on a victim's machine.
This is an open-source version of 'Security Training for Everyone', PagerDuty's internal employee security training, given to all PagerDuty employees as part of our annual security training program.
CLIENTS,WEBSITE,CERTIFICATE,SSL CERTIFICATE.One of the crucial steps in the TLS handshake is for the server to prove its identity to the client. While there is plenty of content explaining the principles of the handshake, there's less informati
In this article, you will find a list of open source cybersecurity tools that you'll wish you'd known earlier.
Generate and verify signed attestations for anything you make with GitHub Actions.
Learn how to secure your GitHub Actions with these best practices! From controlling credentials to using specific action version tags, this cheat sheet will help you protect against supply-chain attacks. Don't let a malicious actor inject code into your repository - read now!
Build a Proxmox Kubernetes cluster with Talos Linux. Uncover how to provision Talos Linux on Proxmox and discover the power of a tiny Linux OS with Kubernetes.
The Apache Software Foundation has released a critical security update for Apache HTTP Server, patching five vulnerabilities, including a dangerous double-free flaw capable of enabling Remote Code Execution (RCE) in version 2.4.67, released on May 4, 2026.
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.