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AI Powered Endpoint Security for Windows

AI-driven detection to identify threats at windows endpoints before damage occurs,
as opposed to reacting after threat infection.

BYOD Risks

Remote work & BYOD policies adds fuel to the fire!

Secure Service Edge (SSE)

Provide secure access to the web, SaaS, & private applications.

Windows DLP

Comprehensive DLP solution for windows devices.

Anti-phishing Prevention

Anti-phishing module for windows based phishing attacks.

Device Management

Enforce adequate security controls, protecting windows devices.

Global Security Compliance

Data security compliances like GDPR, HIPPA, SOC 2, PCI DSS, etc.

Zero Trust VPN

#1 passwordless VPN alternative & replacement for windows.

Endpoint Vulnerability

Endpoints are prime targets for cyberattacks in IT, says the stats.

New age working styles like hybrid and BYOD introduces numerous endpoints beyond the organization’s security perimeter, making it challenging for IT to monitor every device and app. Personal devices often lack the robust security measures of corporate-owned ones, and poor security habits on personal apps can expose the organization to threats. A single weak password on a personal account could open the door for attackers to access sensitive organizational resources.

68%

68% Firms had suffered one or more endpoint assaults that successfully compromised data and/or IT infrastructure.

– market.us scoop

68%

IT experts believe that the rate of endpoint attacks has increased over the previous year

– market.us scoop

600 millions

cyberattacks daily from cyber criminals have been reported by microsoft windows users.

– Digital Defence Report, Microsoft

AI-Driven Windows Security

Kitecyber: Smart AI-Powered Windows Endpoint Security

Kitecyber offers an AI-powered windows endpoint security solution designed to protect users, devices, and data from cyber threats. 

Real time AI based Phishing Prevention

Prevent internet threats targeting user identity theft using multi-model AI inference. This is ground breaking change from poor efficacy approaches of static policies and reputation based detection.

Detect at time of use and not time of link sharing

Our AI models run when a user clicks on the link and directly on the endpoints. Attackers can’t delay the link poisoning to avoid BEC based detections.

Omni Channel identity theft protection

Existing BEC tools have to scan all emails to look for any bad link. This is inefficient and can be easily bypassed using delayed link poisoning. They also don’t cover other channels from where a link can come like desktop apps, conferencing tools, instant messaging apps and social media.

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