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All news with #ai data leakage tag

23 articles · page 2 of 2

ShadowLeak: AI agents can exfiltrate data undetected

⚠️Researchers at Radware disclosed a vulnerability called ShadowLeak in the Deep Research module of ChatGPT that lets hidden, attacker-crafted instructions embedded in emails coerce an AI agent to exfiltrate sensitive data. The indirect prompt-injection technique hides commands using tiny fonts, white-on-white text or metadata and instructs the agent to encode and transmit results (for example, Base64-encoded lists of names and credit cards) to an attacker-controlled URL. Radware says the key risk is that exfiltration can occur from the model’s cloud backend, making detection by the affected organization very difficult; OpenAI was notified and implemented a fix, and Radware found the patch effective in subsequent tests.
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CrowdStrike Enhances GenAI Data Protection Across Platforms

🔒 CrowdStrike announces four new innovations in Falcon Data Protection to help organizations prevent GenAI-driven data leaks across endpoints, cloud, SaaS and AI tools. The updates include real-time GenAI protections that span browsers, local apps and shadow AI services, unified out-of-the-box detections, AI-powered classifications, and a consolidated Insider Risk dashboard. Beta and general availability windows span late 2025 through mid-2026, with cloud features prioritized earlier.
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How the Generative AI Boom Opens Privacy and Cyber Risks

🔒The rapid adoption of generative AI is prompting significant privacy and security concerns as vendors revise terms to use user data for model training. High-profile pushback — exemplified by WeTransfer’s reversal — revealed how unclear terms and live experimentation can expose corporate and personal information. Employees using consumer tools like ChatGPT for work tasks risk leaking secrets, and platforms such as Slack are explicitly reserving rights to leverage customer data. CISOs must balance strategic AI adoption with heightened compliance, governance and operational risk.
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