Protect sensitive data across web, SaaS, email, and cloud traffic. Identify confidential information, enforce security policies, and log everything to prevent data leaks and support regulatory compliance.
Analyze GenAI prompts and responses for content and intent, then block suspicious behavior to govern workforce AI usage and protect data.
Configure DLP profiles, detection entries, and Microsoft Purview sensitivity labels to consolidate protections across outbound traffic, documents, PDFs, and images.
Scan SaaS apps and cloud environments to identify sensitive data at rest. Implement targeted remediation steps to reduce data exfiltration risks.
Give feedback per detection to train AI context analysis and improve detection accuracy. DLP adapts to your specific data patterns and traffic to reduce false positives.
Cloudflare DLP provides a wide, flexible set of predefined and custom detection options to tailor security policies to your organization’s data patterns. Scan for matches across your web, SaaS, email, and cloud traffic.
Built on Cloudflare’s developer platform, our DLP engine employs advanced algorithms that ensure high-performance detections — even for compute-intensive workloads like AI context analysis or AI prompt protection.
We view this evaluation as a significant recognition of our strategy to help connect and secure workspace security and coffee shop networking.
Forrester cites, “Customers view the platform as technically intuitive and easy to implement, reducing complexity and improving operational efficiency.”
According to the report, "Cloudflare is a solid choice for organizations looking to augment current email, messaging, and collaboration security tooling with deep content analysis and processing and malware detection capabilities."
“Today, Cloudflare helps prevent our users from sharing sensitive data and code with tools like ChatGPT and Gemini, enabling us to take advantage of AI safely. Going forward, we are excited for Cloudflare’s continued innovations to protect data, and in particular, their vision and roadmap for services like DLP and CASB.”
Tanner Randolph, Applied Systems, CISO
Detect and secure data entered into web-based AI tools. Apply guardrails to block risky prompts before sensitive data ever reaches an AI model.
Reduce data exposure by securing sensitive assets across channels, including confidential documents in SaaS apps, source code in public repositories, PII sent via unsanctioned apps or emails, and more.
Capture audit logs for DLP matches and policy actions, and forward them to external SIEM or cloud storage destinations as needed.
Helping organizations worldwide progress toward Zero Trust