DevOps
fromInfoQ
20 hours agoCNCF Warns Kubernetes Alone Is Not Enough to Secure LLM Workloads
Kubernetes lacks the capability to manage the unique risks posed by large language models in AI deployments.
In a blog published this week, Manifold Security showed how an AI-powered code reviewer built on Claude accepted changes that appeared to come from a legitimate maintainer. By setting a fake author name and email in Git, the team made a commit appear to originate from a trusted source, then passed it through an automated review flow where the model approved it.
Lakewatch leverages Databricks' data storage capabilities to perform essential SIEM tasks, such as threat detection and investigation, enhanced by AI agents from Anthropic's Claude.
Netskope One AI Security is integrated into the Netskope One platform and designed to protect various components of the AI ecosystem. These include AI applications, AI agents, datasets, and users in both public SaaS environments and private or internally hosted AI systems. Workflows in which autonomous AI agents communicate with other systems are also covered by the security.
Security tools are excellent at explaining why something is risky. What they don't do is make remediation safe and practical. The real breakthrough isn't more prioritization, it's removing risk without breaking the business. Reclaim does exactly that, and that's why it matters.
Meta Platforms is piloting a shopping research capability within its Meta AI chatbot, signalling a deeper move into ecommerce as competition intensifies with ChatGPT and Gemini. The feature, currently rolling out to select users in the US via the Meta AI web interface, enables consumers to request product recommendations. In response, the chatbot displays a carousel of images featuring brand names, pricing and merchant links, alongside bullet-point summaries explaining the reasoning behind each suggestion.