Kitecyber provides DLP and AI security at the endpoint itself using a lightweight agent. The agent tracks multiple signals across data activity, OS activity, device posture, AI agent activity and network activity to classify and protect sensitive data. In the age of AI agents, your most sensitive data - source code, customer records, credentials, financials, and IP - now moves through GenAI prompts, SaaS uploads, browser activity, private apps, and autonomous AI agents acting on a user's behalf. Kitecyber puts data security at the center, giving teams real-time visibility and control over where that data goes and who (or what) is moving it.
Kitecyber is servicing hundreds of customers from SMBs to mid market enterprises like Policy Bazaar, Instavision, Duplocloud, Kloudfuse, AI4Process, Lily.ai, Sarvam.ai, Antino, Kiwico, origin63, Agnext, Tynor, Shoonya to secure their data and Gen AI usage. We also help customer meet compliance requirements for SOC2, ISO27001, GDPR, HIPAA, DPDP act, PCI DSS and others. Our customers span across technology, SaaS, Gen AI, Fintech, BFSI, Manufacturing, health tech and other regulated industries.
AI has changed the endpoint threat model. AI copilots and agents can read, summarize, copy, and upload sensitive information at machine speed, often without clear security boundaries. Traditional tools weren't built for this: endpoint tools detect malware, network tools inspect traffic, legacy DLP enforced static policies, and VPNs trusted networks -- but none understand a world where an AI agent can exfiltrate data faster than a human can review it. Kitecyber closes that gap by making the endpoint the real-time decision point for data protection.
At its core, Kitecyber delivers data security at the endpoint by understanding device posture, seeing user activity, data activity, classifying sensitive data, Operating system activity and network activity. This broad coverage provides much better security as compared to point solutions that see only part of the activity. It tracks data lineage and movement in real time, classifies data using document context in addition to pattern matching, and enforces the right action -- allow, block, warn, coach, log, or isolate -- at the exact point of risk. Around this data-security core, Kitecyber unifies the controls modern teams need into one lightweight agent and a shared trust engine, so there's nothing to stitch together and no blind spots between tools:
1) Endpoint & network DLP - protect sensitive data across files, clipboard, browser, GenAI, SaaS, and removable media
2) GenAI & AI agent security - control how users, copilots, and AI agents interact with sensitive data and external AI services
3) Secure Web Gateway - endpoint-based protection against phishing, risky destinations, and unsafe downloads, with URL filtering for SaaS and GenAI apps
4) SaaS app protection - govern access and data movement across sanctioned and unsanctioned SaaS apps
5) Zero Trust Network Access (ZTNA) - replace legacy VPNs with context-aware access to private apps and AWS, Azure, and GCP, based on identity, device posture, and least privilege
6) Unified endpoint management & compliance automation - manage devices, automate onboarding/offboarding, and enforce policy across Windows, macOS, and Linux
Kitecyber follows a simple model: See, Decide, Enforce - continuously. The agent observes endpoint posture, user activity, browser behavior, data movement, SaaS access, AI interactions, and private app sessions; evaluates each action in context (who is acting, what device, what data, where it's going); and enforces the right control at the moment of action. Kitecyber also uses Gen AI to cut false-positive alerts, classify data by context, analyze suspicious process activity, and generate incident reports with root causes and remediations, significantly reducing the triage burden on SOC and NOC teams.
Kitecyber is built for organizations that need enterprise-grade data protection without enterprise complexity. It's used by IT teams (fast deployment, device management, automation), security teams (visibility and control over data movement, AI usage, and insider risk), MSPs and MSSPs (modern DLP, SWG, SaaS, and ZTNA through one platform), and business leaders (protect data, reduce breach risk, and support AI adoption without slowing productivity). By consolidating device, data, web, SaaS, AI, and access security into a single endpoint-native agent, Kitecyber reduces tool sprawl and cost while strengthening protection - so teams can adopt AI confidently, knowing their sensitive data stays secure wherever work happens.
Average Rating: 4.8/5.0
Total Reviews: 53
How Do G2 Users Rate Kitecyber?
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Has the product been a good partner in doing business?: 9.5/10 (Category avg: 9.0/10)
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Device Compliance: 9.6/10 (Category avg: 9.1/10)
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Data Separation: 8.3/10 (Category avg: 8.6/10)
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Endpoint Protection: 9.6/10 (Category avg: 9.0/10)
Who Is the Company Behind Kitecyber?
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Seller: Kitecyber
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Company Website:
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Year Founded: 2022
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HQ Location: Santa Clara, California, United States
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LinkedIn® Page: www.linkedin.com
13 employees on LinkedIn®
Who Uses This Product?
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Top Industries: Computer Software, Information Technology and Services
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Company Size: 62% Small, 38% Medium
What Do G2 Reviewers Say About Kitecyber?
AI-generated summary from verified user reviews
Pros
- Users commend the responsive and helpful customer support of KiteCyber, enhancing the overall experience and ease of use.
- Users appreciate the ease of use of Kitecyber, enjoying a seamless installation and user-friendly interface.
- Users highlight the excellent customer support and effortless onboarding process of Kitecyber, enhancing their overall experience.
- Users appreciate the comprehensive security provided by Kitecyber, simplifying management with an intuitive platform and responsive support.
- Users commend KiteCyber's reliability, noting its seamless integration and outstanding support for remote team management.
Cons
- Users note the limited features in Kitecyber, wishing for more depth and easier access to tools.
- Users express frustration over delays in executing high-priority action items, impacting responsiveness to critical needs.
- Users find the usability issues of Kitecyber's dashboard a bit complicated and not very intuitive at first.
- Users often face unwanted warning pop-ups about risky sites, disrupting their browsing experience with Kitecyber.
- Users find that the difficult configuration may delay navigation until they become familiar with the settings.
