
Kitecyber: Data & Gen AI Security, Built on the Endpoint
Your most sensitive data leaves through browsers, Gen AI prompts, SaaS uploads, and clipboards — faster than any network tool can catch it. Kitecyber stops that at the source, with a single lightweight agent that runs directly on the endpoint and acts the instant data is touched, not after it's already gone.
Because it lives on the device, Kitecyber has full context — device, OS, process, data, user, and network activity together, in real time. That's the vantage point network- and cloud-only tools simply don't have.
Data security that keeps up with your data. Kitecyber classifies sensitive information with LLM-powered, context-aware intelligence across 80+ categories — PII, PHI, PCI, source code, IP — at over 90% accuracy, not brittle keyword matching. It tracks data lineage through screenshots, encoding, and file conversion that defeat traditional scanners, and blocks policy violations inline, before data ever leaves the endpoint.
Gen AI security for the age of AI agents. Kitecyber tracks sensitive data pasted or uploaded into tools like ChatGPT, Claude, and Gemini and stops it in real time. It discovers shadow AI reaching your devices and extends visibility to the AI agents now acting on your users' behalf — the blind spot identity- and network-based tools were never built to see.
Trusted and proven. Kitecyber secures fast-growing fintech, BFSI, and SMB organizations in highly regulated environments, partnering with GRC leaders like Scrut Automation to unify security and compliance. It's SOC 2 Type II compliant, deploys in about a day, and delivers enterprise-grade protection without enterprise complexity.
See what full-context data and Gen AI security looks like. Learn more at kitecyber.com.
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Safetica Intelligent Data Security protects sensitive enterprise data wherever your team uses it.
Safetica is a global software company that provides Data Loss Prevention and Insider Risk Management solutions to organizations.
✔️ Know what to protect: Accurately pinpoint personally identifiable information, intellectual property, financial data, and more, wherever it is utilized across the enterprise, cloud, and endpoint devices.
✔️ Prevent threats: Identify and address risky activities through automatic detection of unusual file access, email interactions, and web activity. Receive the alerts necessary to proactively identify risks and prevent data breaches.
✔️ Secure your data: Block unauthorized exposure of sensitive personal data, trade secrets, and intellectual property.
✔️ Work smarter: Assist teams with real-time data handling cues as they access and share sensitive information.
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Clearswift Endpoint Data Loss Prevention
Clearswift's Endpoint Data Loss Protection (DLP) solution serves as an essential component of your IT security framework, enabling organizations to identify, examine, and safeguard vital data on their endpoints. This comprehensive solution features context-aware Data in Use (DIU) policies that regulate which devices can access the corporate network and what types of information may be transmitted. Additionally, it performs scheduled Data at Rest (DAR) scans on file systems to monitor and manage critical data stored on both network servers and cloud environments. Operating with a lightweight agent, Clearswift Endpoint DLP silently implements your security and compliance measures, ensuring protection even when users are offline. The adaptable and context-sensitive DIU policies empower organizations to establish rules that can either block the copying of sensitive documents to portable devices, restrict sharing on the network, or prevent uploads to the cloud, or alternatively, automatically encrypt these files prior to any transfer. By integrating these features, Clearswift Endpoint DLP not only enhances data security but also streamlines compliance processes within the organization.
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Darktrace / EMAIL
Darktrace / EMAIL offers an AI-enhanced solution for data loss prevention that safeguards outgoing emails without being dependent on inflexible rules, manual tagging, or extensive adjustments to regular expressions. By integrating behavioral and content analysis, it captures the context around communications, detects sensitive data, and mitigates data loss instantaneously. This system features adaptive detection that identifies over 35 categories of sensitive personal, financial, and health-related information, encompassing both tagged and untagged content seamlessly. It effectively links abnormal outbound activities with user account patterns and intelligence from incoming data, enabling the identification of accidental data leaks, compromised accounts, insider threats, and potential data exfiltration before it can exit the organization. Furthermore, its unique domain-specific language model evaluates recipients, entities, patterns of personally identifiable information (PII), the context of messages, and user actions at the moment of sending, providing alerts to employees when an email appears to be sent to an unintended recipient. This comprehensive approach not only enhances security but also streamlines the process of safeguarding sensitive information in a rapidly evolving digital landscape.
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