All news with #data loss prevention tag

🔒 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.

🛡️ Generative AI is now central to enterprise work, but rapid adoption has exposed gaps in legacy security models that were not designed for last‑mile behaviors. The piece argues buyers must reframe evaluations around real-world AI use — inside browsers and across sanctioned and shadow tools — and prioritize solutions offering real-time monitoring, contextual enforcement, and low‑friction deployment. It warns against blunt blocking and promotes nuanced controls such as redaction, just‑in‑time warnings, and conditional approvals to protect data while preserving productivity.

🔒 Microsoft announced Purview innovations for Fabric at FabCon to unify discovery, protection, and governance across Azure, Microsoft 365, and Microsoft Fabric. New generally available controls include Information Protection policies for Fabric items, DLP for structured data in OneLake, and Insider Risk Management for Fabric. Preview features add DSPM data risk assessments and enhanced Copilot controls, while the Unified Catalog gains finer metadata, tagging, and data‑quality workflows to improve discoverability and trust.

🔒 Prisma SASE 4.0 is positioned as a unified, cloud-delivered security platform engineered for the AI era. It combines AI-powered threat protection, frictionless data security for structured and unstructured content, and unified intelligent operations to automate deployment and troubleshooting. New capabilities include browser-based postload inspection, an Advanced DNS Resolver with Precision AI, SaaS security posture monitoring for AI agents, and Autonomous Digital Experience Management to preserve performance and resilience.

🔒 The MIT report "The GenAI Divide: State of AI in Business 2025" exposes a pervasive shadow AI economy—90% of employees use personal AI while only 40% of organizations buy LLM subscriptions. This article translates those findings into three realistic policy paths: a complete ban, unrestricted use with hygiene controls, and a balanced, role-based model. Each option is paired with concrete technical controls (DLP, NGFW, CASB, EDR), organizational steps, and enforcement measures to help security teams align risk management with real-world employee behaviour.

🔍 Generative AI platforms such as ChatGPT, Gemini, Copilot, and Claude create new data‑exfiltration risks that can evade traditional endpoint and channel DLP products. Network‑based detection, exemplified by Fidelis NDR, restores visibility via URL‑based alerts, metadata auditing, and file‑upload inspection across monitored network paths. Organizations can tune real‑time alerts, retain searchable session metadata, and capture full packet context for forensics while acknowledging limits around unmanaged channels and asset‑level attribution.

🤖 Cloudflare’s AI Gateway refresh centralizes AI traffic management, offering unified billing, secure key storage, dynamic routing, and built-in security through a single endpoint. The update integrates Cloudflare Secrets Store for AES-encrypted BYO keys, provides an automatic normalization layer for requests/responses across providers, and introduces dashboard-driven Dynamic Routes for traffic splits, chaining, and limits. Native Firewall DLP scanning and configurable profiles add data protection controls, while partner access to 350+ models across six providers and a credits-based billing beta simplify procurement and cost management.

🔒 Cloudflare outlines practical steps to secure generative AI adoption using its SASE platform, combining SWG, CASB, Access, DLP, MCP controls and AI infrastructure. The post introduces new AI Security Posture Management (AI‑SPM) features — shadow AI reporting, provider confidence scoring, prompt protection, and API CASB integrations — to improve visibility, risk management, and data protection without blocking innovation. These controls are integrated into a single dashboard to simplify enforcement and protect internal and third‑party LLMs.

🔒 Cloudflare introduces AI prompt protection inside its Data Loss Prevention (DLP) product on Cloudflare One, designed to detect and secure data entered into web-based GenAI tools like Google Gemini, ChatGPT, Claude, and Perplexity. The capability captures both prompts and AI responses, classifies content and intent, and enforces identity-aware guardrails to enable safe, productive AI use without blanket blocking. Encrypted logging with customer-provided keys provides auditable records while preserving confidentiality.