4.9 out of 5 stars
(89 Ratings)
Kitecyber: Gen AI & Data Security, Built on the Endpoint
Kitecyber protects your data and secures Gen AI use with a single lightweight agent that runs directly on the endpoint. Because it lives on the device, Kitecyber sees the complete picture—device posture, operating system activity, process activity, data classification, user activity, and network activity—together, in real-time context. That's something network- and cloud-only tools can't match: they watch traffic after it leaves the device, while Kitecyber understands the action at the moment it happens.
One agent replaces a stack. Kitecyber unifies data loss prevention, secure web gateway, zero trust private access, SaaS protection, device management, and Gen AI security, no appliances, no separate consoles, and deployment in about a day.
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 transformations like screenshots, encoding, and file conversion that defeat traditional scanners, and enforces policy inline before data ever leaves the device.
Gen AI security for the age of AI agents. Kitecyber tracks sensitive data pasted or uploaded into tools like ChatGPT, Claude, and Gemini and blocks it before it leaves the endpoint. It discovers shadow AI apps reaching your devices and extends visibility to the AI agents now acting on your users' behalf — a blind spot for identity- and network-based tools.
Trusted and proven. Kitecyber secures fast-growing fintech, AI companies, BFSI, Manufacturing, healthcare and SMB organizations in highly regulated environments, and partners with GRC leaders like Vanta and Scrut Automation to simplify security and compliance together. Customers report up to 50% lower total cost of ownership, ~20 hours a week saved, and enterprise-grade protection without enterprise complexity. Kitecyber is SOC 2 Type II compliant, with pre-built templates for GDPR, HIPAA, PCI DSS, ISO 27001, and more.
The company operates and has customers across USA, Europe, Middle east and APAC.
Get enterprise-grade Gen AI and data security in days, from one agent. Learn more at kitecyber.com.
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4.7 out of 5 stars
(416 Ratings)
Safetica delivers Intelligent Data Security. Its AI-powered platform helps security teams see and control how sensitive data is used across endpoints, cloud applications, and AI, so they can prevent data loss, reduce insider risk, and support compliance without disrupting productive work. Safetica AI Protection gives teams visibility into AI activity and sensitive data sharing, with controls that protect data while enabling productive AI use.
✔️ Data Protection: Classify, monitor, and control sensitive data across endpoints, cloud applications, and AI interactions in real time.
✔️ Insider Risk and User Behavior: Identify risky and anomalous activity to reduce the risk of careless data handling, compromised accounts, and malicious actions.
✔️ Compliance and Data Discovery: Discover and classify sensitive data, then use audit-ready reporting to support compliance across data at rest, in motion, and in use.
✔️ Cloud Security: Protect sensitive data across Microsoft 365 and other cloud and file-sharing platforms by monitoring and classifying files and enforcing policies on file activity.
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Darktrace / EMAIL
Darktrace / EMAIL is an AI-driven data loss prevention solution that secures outbound email without relying on rigid rules, manual labels, fingerprinting, or constant regex tuning. It combines behavioral and content analysis to understand context, identify sensitive information, and prevent data loss in real time. Label-free, adaptive detection automatically recognizes 35+ categories of personal, financial, and health data, including both labeled and unlabeled content. By correlating outbound anomalies with account behavior and inbound intelligence, it can uncover accidental exposure, compromised accounts, insider misuse, and potential exfiltration before data leaves the organization. A proprietary domain-specific language model analyzes recipients, entities, PII patterns, message context, and user behavior at the point of send, warning employees when an email may be misdirected.
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