Anthropic Releases Claude Security Plugin for Claude Code in Beta: A Multi-Agent Vulnerability Scanner That — 2026-07-23

## Short Segments Gigatoken sets a new benchmark in tokenization speed, encoding text at 24.53 GB/s, up to 989 times faster than HuggingFace tokenizers. Today, we'll explore how this Rust-based tokenizer, developed by Stanford's Marcel Rød, is reshaping the language modeling landscape. Later, we'll dive into Anthropic's new Claude Security plugin, a multi-agent vulnerability scanner that runs directly in your terminal. But first, let's look at the latest in open speech recognition models. Open speech recognition models are now more competitive than ever, with new entries challenging the dominance of Whisper. In March 2026, Cohere's Transcribe model topped the Hugging Face Open ASR Leaderboard with a 5.42% average word error rate. Shortly after, IBM's Granite Speech 4.1 achieved a 5.33% WER, and newer models like ARK-ASR-3B and MOSS-Transcribe-preview-2B have pushed the boundaries even further. The leaderboard's top models are now separated by less than one WER point, making factors like license, language coverage, and cost per audio-hour more critical in choosing the right model. This shift highlights the importance of evaluating models beyond just their rank, as the competition in open ASR models continues to intensify. ## Feature Story Anthropic's new Claude Security plugin for Claude Code is now in beta, offering a multi-agent vulnerability scanner that operates directly within your terminal. This tool allows developers to run comprehensive scans across entire codebases or inspect specific changes before committing them, all from within an existing Claude Code session. The plugin introduces a single command, /claude-security, which opens a menu of three jobs: scanning the entire codebase, scanning changes, and suggesting patches based on the findings. Installation is straightforward, requiring just two commands from the official Anthropic marketplace. This development is part of a broader trend in AI-driven cybersecurity, where tools are becoming more integrated and capable of identifying complex vulnerabilities that traditional scanners might miss. Anthropic's emphasis on versatility means that developers can choose to run a full scan or focus on specific changes, providing flexibility in how they manage code security. The plugin's ability to suggest patches also streamlines the process of addressing vulnerabilities, turning findings into actionable patch files that developers can review and apply. As AI models continue to advance, the capabilities of tools like Claude Security are expected to grow, offering even more sophisticated methods for ensuring code security. For developers and security teams, this means a more efficient workflow, with the potential to catch issues earlier in the development process and reduce the need for extensive manual reviews. With Claude Security now available in public beta for Claude Enterprise customers, it's a significant step forward in making AI-driven security tools more accessible and effective. As the landscape of software development evolves, tools like these will play a crucial role in maintaining secure and resilient codebases.