venturebeat
Four AI supply-chain attacks in 50 days exposed the release pipeline red teams aren't covering

Four supply-chain incidents hit OpenAI, Anthropic and Meta in 50 days: three adversary-driven attacks and one self-inflicted packaging failure. None targeted the model, and all four exposed the same gap: release pipelines, dependency hooks, CI runners, and packaging gates that no system card, AISI evaluation, or Gray Swan red-team exercise has ever scoped.On May 11, 2026, a self-propagating worm called Mini Shai-Hulud published 84 malicious package versions across 42 @tanstack/* npm packages in six minutes flat. The worm rode in on release.yml, chaining a pull_request_target misconfiguration, GitHub Actions cache poisoning, and OIDC token extraction from runner memory to hijack TanStack’s own trusted release pipeline. The packages carried valid SLSA Build Level 3 provenance because they [...]

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venturebeat
Protect your enterprise now from the Shai-Hulud worm and npm vulnerability in 6 actionable steps

Any development environment that installed or imported one of the 172 compromised npm or PyPI packages published since May 11 should be treated as potentially compromised. On affected developer workst [...]

Match Score: 116.94

venturebeat
Why supply chains are the proving ground for automation‑led iPaaS

Presented by EdgeverveSupply chains are where legacy integration models reach their limits. As partner networks expand and operational volatility increases, traditional middleware is buckling under co [...]

Match Score: 115.37

venturebeat
Red teaming LLMs exposes a harsh truth about the AI security arms race

Unrelenting, persistent attacks on frontier models make them fail, with the patterns of failure varying by model and developer. Red teaming shows that it’s not the sophisticated, complex attacks tha [...]

Match Score: 112.77

venturebeat
Seven steps to AI supply chain visibility — before a breach forces the issue

Four in 10 enterprise applications will feature task-specific AI agents this year. Yet, research from Stanford University’s 2025 Index Report shows that a mere 6% of organizations have an advanced A [...]

Match Score: 99.58

venturebeat
Copilot searched your mailbox. LiteLLM handed out admin keys. Run this 5-check audit before your stack is next

Two AI tools broke in the same way in the same two weeks, and four research teams proved it. The pattern underneath every disclosure is one sentence: enterprise AI accepts external input with no trust [...]

Match Score: 96.64

venturebeat
Hackers slipped a trojan into the code library behind most of the internet. Your team is probably affected

Attackers stole a long-lived npm access token belonging to the lead maintainer of axios, the most popular HTTP client library in JavaScript, and used it to publish two poisoned versions that install a [...]

Match Score: 93.34

venturebeat
Monitoring LLM behavior: Drift, retries, and refusal patterns

The stochastic challengeTraditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests. On the other hand, generative AI [...]

Match Score: 88.09

venturebeat
Tariff turbulence exposes costly blind spots in supply chains and AI

Presented by CelonisWhen tariff rates change overnight, companies have 48 hours to model alternatives and act before competitors secure the best options. At Celosphere 2025 in Munich, enterprises demo [...]

Match Score: 86.90

venturebeat
GitHub confirms 3,800 internal repos stolen through poisoned VS Code extension as supply chain worm hits Microsoft’s Python SDK

GitHub confirmed on May 20 that a poisoned VS Code extension installed on an employee’s device gave attackers access to roughly 3,800 internal repositories at the Microsoft-owned code storage and au [...]

Match Score: 83.04