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KitecyberKitecyber: Data & Gen AI Security, Built on the Endpoint Your most sensitive data—customer records, source code, financial data, IP, now leaves through browsers, Gen AI prompts, SaaS uploads, and the clipboard, faster than any network tool can react. 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 posture, 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 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 globally. Kitecyber protects fintech, SaaS companies, Gen AI companies, BFSI, manufacturing, healthcare and SMB organizations across the USA, Europe, the Middle East, and APAC, and partners with GRC leaders like Vanta and 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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What is Deception.ai?
Creating convincingly authentic fake networks that can thwart, confuse, or manipulate adversaries is a complex undertaking that demands considerable time, financial resources, and expertise. Penten’s Deception.ai emerges as a powerful artificial intelligence tool that simplifies the development and execution of these sophisticated fake networks essential for detecting, monitoring, and combating advanced cyber threats. With its intelligent workflow, the platform assists users in constructing their deceptive networks and planning their attack strategies, while also facilitating the deployment of scenarios and the generation of realistic, tailored users alongside engaging content. These constructed users interact with the system, performing tasks that closely resemble genuine human actions, such as sending and receiving emails, editing documents, making phone calls, and conversing with other users. This streamlined methodology allows for the quick creation of a believable environment, which is vital for effectively engaging with adversaries. By harnessing such innovative technology, organizations can significantly bolster their security measures while also gaining tactical advantages in their cyber defense initiatives. Moreover, the ability to seamlessly integrate these fake networks into existing security protocols heightens the overall resilience against cyber threats.
What is Benerator?
Conceptually outline your data model using XML, ensuring that business personnel are actively engaged, so that no programming knowledge is necessary. Incorporate a variety of function libraries to create realistic data simulations and develop custom extensions in JavaScript or Java as required. Integrate your data workflows smoothly with tools like GitLab CI or Jenkins while utilizing Benerator’s model-driven data toolkit for generating, anonymizing, and migrating data effectively. Create straightforward XML procedures for anonymizing or pseudonymizing data that are easy for non-developers to understand, all while complying with GDPR regulations to protect customer privacy. Employ methods to mask and obfuscate sensitive information for purposes such as business intelligence, testing, development, or training environments. Collect and integrate data from various sources without compromising its integrity, and support the migration and transformation of data within complex system landscapes. Reapply your data testing models to facilitate the migration of production systems, ensuring that the data remains reliable and consistent within a microservices architecture. Furthermore, it would be beneficial to develop comprehensive user-friendly documentation that aids business users in grasping the data processes involved, thereby enhancing collaboration and understanding across teams. This approach not only fosters a transparent workflow but also strengthens the overall data governance framework within the organization.
Integrations Supported
Apache Kafka
GitLab
JSON
Java
JavaScript
Jenkins
XML
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Penten
Date Founded
2014
Company Location
Australia
Company Website
www.penten.com/applied-ai/deception-ai/
Company Facts
Organization Name
Benerator
Company Location
Germany
Company Website
www.benerator.de/