Data Loss Prevention detects and blocks sensitive information leaving approved systems, reducing breach impact when paired with access controls and monitoring.
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Data Loss Prevention (DLP) encompasses technologies and policies designed to detect and prevent unauthorized transmission or exposure of sensitive data outside an organization’s controlled environment. It monitors data in use, in motion, and at rest to block or alert on actions like copying, emailing, or uploading confidential information. DLP aims to reduce risks from insider threats, accidental leaks, or external attackers exploiting compromised accounts.
Effective DLP requires accurate data classification, contextual analysis of user behavior, and integration with access controls to minimize false positives and operational disruption. It is most relevant for protecting intellectual property, personal data subject to privacy regulations, and critical business information. While DLP cannot stop all data exfiltration attempts, it strengthens defense-in-depth by enforcing data handling policies and supporting forensic investigation of suspicious activities.
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The first wave of enterprise AI concern was straightforward. It was simply employees pasting sensitive data into public AI tools. Security teams responded with usage policies, domain blocks, and data loss prevention rules. That response made sense at the time
Your security controls aren't failing, they're missing where most of today's work actually happens. Keep Aware shows how browser activity like copy/paste and AI prompts bypass traditional protections. [...]
Startup Exits Stealth Targeting Insider Risk, Shadow AI and GenAI Data ExposureCybersecurity startup Jazz has raised $61 million with an AI-driven approach to data loss prevention. Its platform deploys agent investigators that analyze data context, users, systems and processes to detect insider threats and risky AI usage more accurately than legacy rule-based tools.
Microsoft is expanding data loss prevention (DLP) controls to block the Microsoft 365 Copilot AI assistant from processing confidential Word, Excel, and PowerPoint documents, regardless of their location. [...]
Microsoft says a Microsoft 365 Copilot bug has been causing the AI assistant to summarize confidential emails since late January, bypassing data loss prevention (DLP) policies that organizations rely on to protect sensitive information. [...]
CEO Nitay Milner Says Large Language Models Cut False Positives and Policy SprawlOrion Security has secured $32 million in Series A funding led by Norwest Venture Partners to replace policy-driven data loss prevention with large language models. CEO Nitay Milner says AI enables real-time context that legacy DLP tools can't achieve at scale.
It’s time to rethink your approach
According to the new Browser Security Report 2025, security leaders are discovering that most identity, SaaS, and AI-related risks converge in a single place, the user’s browser. Yet traditional controls like DLP, EDR, and SSE still operate one layer too low
Firm Hits $6B Valuation, Eyes Fast Delivery of Unified DSPM, DLP and Identity ToolsCyera’s latest $540 million Series E funding underscores growing urgency among global firms to secure sensitive data before feeding it into AI models. With demand soaring, the startup is investing heavily in DSPM, DLP and identity innovation across cloud and on-prem environments.
Data Defense Startup Focuses on Unstructured Data and On-Device Endpoint ProtectionBacked by Paladin and Crosspoint, Seattle-based data security startup Mind aims to double its team and develop small language models that power endpoint classification. The company is carving a niche in data loss prevention by prioritizing unstructured data and actionable enforcement.
Data Defense Startup Focuses on Unstructured Data and On-Device Endpoint ProtectionBacked by Paladin and Crosspoint, Seattle-based data security startup Mind aims to double its team and develop small language models that power endpoint classification. The company is carving a niche in data loss prevention by prioritizing unstructured data and actionable enforcement.
Traditional data leakage prevention (DLP) tools aren't keeping pace with the realities of how modern businesses use SaaS applications
Strong DLP can be a game-changer — but it can also become a slow-moving, overcomplicated mess if not executed properly.
The data loss prevention company emerges from stealth with an AI-powered platform to help organizations distinguish between legitimate and risky activity.
Traditional Data Loss Prevention (DLP) solutions weren't built for today's browser-driven workplace. Now sensitive data moves moves through SaaS apps, AI tools, and personal accounts, bypassing legacy security controls. Learn from Keep Aware how real-time browser security can stop data leaks before they happen. [...]
CDR, DLP Provider Will Help Safeguard Cloud-Based Applications, Collaboration ToolsMenlo Security bought a data and file security vendor led by a longtime IBM executive to secure cloud-based applications and collaboration tools. Votiro's CDR and DLP tools will neutralize threats in real time and facilitate AI-driven data protection without disrupting user workflows.
Cyera's Valuation Doubles Amid Expansion From DSPM to DLP, Identity ProtectionCyera secures $300M in funding from Accel and Sapphire Ventures, doubling its valuation to $3 billion. The company is enhancing its data security platform by integrating DSPM with DLP and identity security capabilities, addressing enterprise demand for comprehensive solutions.
The company's data loss prevention platform helps customers identify and classify data across SaaS and GenAI applications, endpoints, and emails.