In the wake of Claude Code's source code leak, 5 actions enterprise security leaders should take now
Gartner issued a same-day advisory after Anthropic leaked Claude Code's full architecture. CrowdStrike CTO Elia Zaitsev and Enkrypt AI CSO Merritt Baer weigh in on agent permissions and derived IP ...
Compare the best DAST tools in 2026. Our buyer's guide covers 10 dynamic application security testing solutions, key features ...
Vulnerability attacks rose 56% in 2025. Explore 46 statistics on CVE disclosure, exploitation patterns, and industry impact to guide your 2026 security strategy. The post 46 Vulnerability Statistics ...
GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...
Infosecurity outlines key recommendations for CISOs and security teams to implement safeguards for AI-assisted coding ...
Harness field CTO reveals 46% of AI-generated code contains vulnerabilities. Learn how to secure your SDLC with multi-layered ...
Morning Overview on MSN
Hackers hide credit-card skimmer code inside 1×1-pixel SVG images
A credit card skimmer campaign discovered in early 2025 and still actively tracked as of April 2026 has compromised an ...
Anthropic accidentally leaked some source code for Claude Code, its AI-powered coding assistant. The company said the leak did not include sensitive customer data or credentials. Anthropic recently ...
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 ...
On Tuesday, a security researcher named Chaofan Shou revealed on X that he had found a 59.8MB JavaScript source map file in a public release of Anthropic's Claude Code. This file is intended for ...
Anthropic’s Claude Code Security Review, Google’s Gemini CLI Action, and GitHub Copilot Agent hacked via prompt injection ...
Monday cybersecurity recap on evolving threats, trusted tool abuse, stealthy in-memory attacks, and shifting access patterns.
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