6 verified briefings on Data Security. Each story includes a plain-English summary, why it matters, and the concrete action engineering teams should take.
Data security firm Varonis is integrating with Anthropic's Claude Compliance API to enhance its Atlas platform. The partnership aims to provide businesses with better AI governance, allowing them to monitor how AI models interact with sensitive enterprise data, investigate potential risks, and maintain regulatory compliance.
A data breach at Columbia University exposed the personal information of people with no connection to the school. The incident highlights how third-party data sharing creates hidden risks for organizations and individuals alike.
AI agents are now writing directly to production data, a major shift from read-only tasks. This is forcing the industry to automate data governance because traditional manual methods are no longer sufficient to manage the risk.
VietBank is building its own AI tools using open-source models to keep sensitive customer data secure. This lean AI plan avoids big tech spending and allows for rapid, customized deployment in a highly regulated industry.
OpenAI is rolling out a new Lockdown Mode for ChatGPT to prevent data theft. The feature limits certain tools to protect sensitive information from prompt injection attacks, making it safer for professional use.
The rise of agentic AI is introducing new data security and compliance challenges into the software development lifecycle (SDLC). As AI agents interact with data at every stage, they can inadvertently distribute sensitive information, creating risks that many organizations are unprepared to manage or track effectively.