A US federal watchdog has outlined how the National Institute of Standards and Technology (NIST) failed to effectively manage the growing backlog of unprocessed cybersecurity vulnerabilities in the National Vulnerability Database (NVD). How the NVD crisis unfolded The NVD was established in 2005 and serves as a central repository for cybersecurity vulnerability data. When security…
Tag: outlined
AI, Global Security News
Anthropic launches Claude Opus 4.8, prepares Mythos-class models for all customers
Anthropic has released Claude Opus 4.8 and outlined plans for broader access to its Mythos-class models, which the company expects to make available to all customers in the coming weeks. Claude Opus 4.8 (Source: Anthropic) Claude Opus 4.8 is available to all users, with pricing unchanged from Opus 4.7. Anthropic highlighted improvements in model honesty,…
AI, Exploits, Global Security News
Stealthy hackers exploit cPanel flaw in active backdoor campaign (CVE-2026-41940)
Security researchers at XLab have outlined an active attack campaign targeting CVE-2026-41940, the recently disclosed vulnerability in cPanel & WHM, and have linked it to a stealthy hacking group that has been operating largely undetected for years. The vulnerability allows an attacker to log into a cPanel server without a username or password, effectively handing…
AI, Compliance, Endpoint, Global Security News, Network Security, Risk Management
Protecting your secrets from tomorrow’s quantum risks
As outlined in the AWS post-quantum cryptography (PQC) migration plan, addressing the risk of harvest now, decrypt later (HNDL) attack is an important part of your post-quantum plan. Upgrading the client-side of your workloads to support quantum-resistant confidentiality is an important aspect of your side of the PQC shared responsibility model. Timelines to plan and…
AI, Global Security News, Risk Management
Okta unveils blueprint to help enterprises secure rapidly growing AI agent deployments
COMPANY NEWS: Okta has outlined a new framework aimed at helping organisations manage the growing operational and security risks associated with AI agents, as businesses increasingly move from experimentation to real-world deployment.