ReddRadar
What is Cofense?
Cofense delivers a robust email security platform designed to counter AI-driven phishing attacks that evade standard security measures. By combining expert-supervised artificial intelligence with real-time threat intelligence, the platform identifies and neutralizes phishing threats across email, SMS, and voice channels. Its advanced detection framework ensures timely identification and rapid removal of threats, minimizing breach risks and reducing security operation center (SOC) fatigue.
The platform also provides ongoing security awareness training, continuously conditioning users to recognize and report modern phishing attempts. Organizations benefit from comprehensive visibility through a global reporting network and the ability to stay ahead of evolving attack tactics. Cofense's integrated approach strengthens existing defenses and builds long-term cyber resilience for businesses of all sizes.
Features
- Expert-Supervised AI Detection: High-confidence threat identification refined by human analysts to minimize false positives.
- Real-Time Threat Intelligence: Global reporting network delivers actionable intelligence on emerging phishing tactics.
- Rapid Threat Remediation: Removes confirmed threats from inboxes in less than 60 seconds to reduce risk exposure.
- Continuous Human Conditioning: Real-time, adaptive security awareness training reduces risky user behaviors.
- Comprehensive Channel Coverage: Extends visibility and protection across email, SMS, and voice phishing threats.
Use Cases
- Detecting and mitigating AI-generated phishing emails that bypass security gateways.
- Training employees through real-time simulations to recognize and report phishing attempts.
- Automating rapid removal of malicious emails to minimize potential breaches.
- Tracking and analyzing new phishing threats for cyber risk assessments.
- Enhancing organization-wide cyber resilience with continuous, adaptive awareness solutions.
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Cofense Uptime Monitor
Average Uptime
100%
Average Response Time
321.33 ms
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