Kitecyber delivers an advanced hyper-converged endpoint security solution that ensures comprehensive protection while fulfilling the compliance mandates for various standards, including SOC2, ISO27001, HIPAA, PCI-DSS, and GDPR. This innovative endpoint-centric model eliminates the necessity for cloud gateways or on-premise equipment, streamlining security management. The hyper-converged platform encompasses several critical protective features:
1) A Secure Web Gateway designed to protect internet usage
2) Measures to mitigate the risks posed by Shadow SaaS and Shadow AI
3) Anti-Phishing strategies aimed at safeguarding user credentials
4) A Zero Trust Private Access system, which acts as a next-generation VPN
5) Data Loss Prevention mechanisms applicable to all devices—Mac, Windows, and mobile
6) Comprehensive Device Management that covers Mac, Windows, and mobile devices for all personnel, including BYOD devices and third-party contractors
7) Ongoing Compliance Monitoring to ensure adherence to necessary regulations
8) User Behavior Analysis that helps identify and address potential security risks.
Through these robust measures, Kitecyber not only fortifies endpoint security but also streamlines compliance and risk management processes for organizations.
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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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FortiInsight
Thirty percent of data breaches are attributed to insider actions, whether negligent or intentional. Individuals within an organization represent a distinct risk, as they possess access to confidential systems and can often circumvent established security protocols, resulting in potential vulnerabilities that security teams might overlook. Fortinet’s User and Entity Behavior Analytics (UEBA) technology offers a safeguard against these insider threats by persistently observing user activities and endpoints, equipped with automated detection and response features. By utilizing machine learning and sophisticated analytics, FortiInsight effectively detects non-compliant, suspicious, or unusual behaviors, swiftly notifying administrators of any compromised accounts. This proactive strategy enhances security measures and provides greater visibility into user actions, regardless of their location in relation to the corporate network. Such comprehensive monitoring ensures that organizations can respond promptly to emerging threats.
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LinkShadow
LinkShadow Network Detection and Response NDR ingests traffic and uses machine-learning to detect malicious activities and to understand security threats and exposure. It can detect known attack behaviors and recognize what is normal for any organization. It flags unusual network activity that could indicate an attack. LinkShadow NDR can respond to malicious activity using third-party integration, such as firewall, Endpoint Detection and Response, Network Access Control, etc. NDR solutions analyze the network traffic in order to detect malicious activities inside the perimeter, otherwise known as the "east-west corridor", and support intelligent threat detection. NDR solutions passively capture communications over a network mirror port and use advanced techniques such as behavioral analytics and machine-learning to identify known and unidentified attack patterns.
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