Latest cybersecurity reporting from selected sources.

When You Consume AI, You Inherit Every Upstream Risk You Can't SeeMost enterprises don't build AI, they consume it through APIs, open-source models and orchestration frameworks. Each layer inherits upstream risk with little visibility. This piece maps the four-layer AI supply chain and the existing security disciplines that bring it under control.

Growing Third-Party Breach Trend Is Spreading to AI SuppliersIT organizations have built processes for reducing vendor risk, but in the AI era, that operating model is being dismantled. Modern AI environments are built on dynamic external foundational models, countless APIs, open-source components and continuous data pipelines that pose risks.

High-Severity Flaw in LangChain's AI Tooling Hub Now PatchedA flaw in the LangSmith platform, an open-source framework that helps developers build LLM-powered applications, can enable hackers to siphon sensitive data, said Noma Security. Dubbed AgentSmith, the flaw can allow attackers to embed malicious proxy configurations into public AI agents.

Elastic CEO Ash Kulkarni on How AI Transforms Security Data AnalysisAsh Kulkarni, CEO at Elastic, discussed how bug bounty projects and close scrutiny by millions of developers worldwide have made open-source projects more secure than proprietary solutions. He recommends open APIs and interoperability as the future of effective security solutions.

Also: Addressing AI Vulnerabilities and Governance ChallengesDeepSeek, an advanced open-source AI model, is under scrutiny for its safety guardrails failing multiple security tests and a data leak that exposed user information and API keys. Sam Curry, CISO at Zscaler, discusses AI security, risk management and upcoming U.S. policy changes.