4.9 out of 5 stars
(87 Ratings)
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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4.6 out of 5 stars
(459 Ratings)
Criminal IP is a cyber threat intelligence search engine that detects vulnerabilities in personal and corporate cyber assets in real time and allows users to take preemptive actions. Coming from the idea that individuals and businesses would be able to boost their cyber security by obtaining information about accessing IP addresses in advance, Criminal IP's extensive data of over 4.2 billion IP addresses and counting to provide threat-relevant information about malicious IP addresses, malicious links, phishing websites, certificates, industrial control systems, IoTs, servers, CCTVs, etc.
Using Criminal IP’s four key features (Asset Search, Domain Search, Exploit Search, and Image Search), you can search for IP risk scores and vulnerabilities related to searched IP addresses and domains, vulnerabilities for each service, and assets that are open to cyber attacks in image forms, in respective order.
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Scamminder
Scamminder, a pioneering platform, is designed to improve internet safety by assessing websites' legitimacy. It uses advanced algorithms to analyze URLs in order to detect red flags. It then scores them according to their risk level. Scamminder provides a detailed report with a scam score to help users make informed online decisions. Our mission is combating cybercrime and increasing transparency in the digital world.
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Tumeryk
Tumeryk Inc. focuses on cutting-edge security solutions for generative AI, providing tools such as the AI Trust Score that facilitates real-time monitoring, risk assessment, and regulatory compliance. Our innovative platform enables businesses to safeguard their AI systems, ensuring that deployments are not only reliable and trustworthy but also adhere to established policies. The AI Trust Score assesses the potential risks of utilizing generative AI technologies, which aids organizations in complying with important regulations like the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates the dependability of responses generated by AI, considering various risks such as bias, susceptibility to jailbreak exploits, irrelevance, harmful content, potential leaks of Personally Identifiable Information (PII), and instances of hallucination. Additionally, it can be seamlessly incorporated into existing business workflows, enabling companies to make informed decisions on whether to accept, flag, or reject AI-generated content, thereby helping to reduce the risks tied to such technologies. By implementing this score, organizations can foster a safer environment for AI deployment, ultimately enhancing public trust in automated systems.
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