Sophisticated cyberattacks targeting a variety of open source projects, including the Trivy security-scanner project, the widely used Axios Javascript package, and now Anthropic's accidental ...
In the wake of Claude Code's source code leak, 5 actions enterprise security leaders should take now
Every enterprise running AI coding agents has just lost a layer of defense. On March 31, Anthropic accidentally shipped a 59.8 MB source map file inside version 2.1. ...
Three LiteLLM flaws let low-privilege users gain admin access and run code, exposing AI keys, secrets, prompts, and responses ...
Anthropic says it accidentally leaked the source code for Claude Code, which is closed source, but the company says no customer data or credentials were exposed. While Anthropic pledges support to the ...
Threat actors are exploiting the recent Claude Code source code leak by using fake GitHub repositories to deliver Vidar information-stealing malware. Claude Code is a terminal-based AI agent from ...
A version of the AI coding tool in Anthropic's npm registry included a source map file, which leads to the full proprietary source code. An Anthropic employee accidentally exposed the entire ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...
OpenAI launched Codex Security on March 6, entering the application security market that Anthropic had disrupted 14 days earlier with Claude Code Security. Both scanners use LLM reasoning instead of ...
A WIRED investigation based on Department of Homeland Security records this week revealed the identities of paramilitary Border Patrol agents who frequently used force against civilians during ...
A leading US cybersecurity vendor has been breached by threat actors who managed to access its source code, it has been revealed. Privately held firm Trellix disclosed the incident on May 4, claiming ...
Torvalds and the Linux maintainers are taking a pragmatic approach to using AI in the kernel. AI or no AI, it's people, not LLMs, who are responsible for Linux's code. If you try to mess around with ...
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