Project Glasswing: Securing critical software for the AI era
A new initiative to secure the world’s most critical software and give defenders a durable advantage in the coming AI-driven era of cybersecurity.
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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A new initiative to secure the world’s most critical software and give defenders a durable advantage in the coming AI-driven era of cybersecurity.
Anthropic research on data poisoning attacks shows a few hundred malicious documents can "backdoor" large language models of any size.
The decades-old mystery of the origins of one of the most popular cryptographic standards has been explained.
Claude Opus 4.6 found 22 Firefox vulnerabilities in two weeks, 14 rated high-severity, with proofs-of-concept and candidate patches for Mozilla.
A report describing a highly sophisticated AI-led cyberattack and how we disrupted it.
A paper from Anthropic's Alignment Science team on Alignment Faking in AI large language models
GLM-5.3 can autonomously build end-to-end cyber exploits, but unlike other frontier models, it was released without meaningful safeguards to limit misuse.
We found three cases where a Claude model reached the internet from an evaluation environment and accessed real systems. We share what happened and what we're changing.
Anthropic researchers find weaknesses in cryptographic algorithms with Claude Mythos Preview
As agents grow more capable, so does their potential blast radius. Here's what we learned building containment for claude.ai, Claude Code, and Cowork.
Case studies from threat actors disrupted between December 2025 and August 2026 across seven areas of harm, from cyber operations to biological misuse.
We’re extending Project Glasswing to approximately 150 new organizations in more than fifteen countries
Anthropic's August 2025 threat intelligence report on AI cybercrime and other abuses.
Claude Code Security is one step towards our goal of more secure codebases and a higher security baseline across the industry.
Automated attack surface analysis and reduction can meaningfully improve the security of deployed software in the near term. In this post, we preview data we’ve collected from applying attack surface reduction techniques to large open-source codebases using Claude.
Anthropic's new system, Clio, analyzes how people use AI while maintaining their privacy.
Small AI models may be only months away from being able to self-replicate across cheap IoT devices like Android TV boxes, with no datacenter needed.
New research on simulated blackmail, industrial espionage, and other misaligned behaviors in LLMs.
We identified coordinated distillation attacks using ~24,000 fraudulent accounts to extract Claude's capabilities.
Future Claude models will generate text that contains a watermark to comply with the EU AI Act. We answer questions about how it works and whether it affects outputs.