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Tag: fraud

Apozy San Francisco, CA

Play games. Stop Hackers. Apozy is changing the way businesses make information security decisions. Don't rely on guesswork when it comes to your information security investment. Gone are the days of mundane security awareness training. Engaging simulations give players a fun environment to learn and become your human firewall. Challenges keep security on their minds. Measure your organization's human security posture - for the first time. Determine your weakest link and your strongest assets. Predict and prevent future hacks by utiilizing our recommendation engine. Make the most informed security decisions for your organization. Automate compliance, improve human security behavior, get actionable insight for better security policies and manage risk to prevent attacks.

Website: http://www.apozy.com
Category: Security
Tags: employee security, fraud, hacker, human security, individual, it, security
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Zimperium San Francisco, CA

Zimperium is a mobile security startup that is changing the way organizations protect their mobile endpoints. The Mobile Intrusion Protection System is a defense suite that offers what antivirus and other security models cannot: signature-independent detection and prevention of all kinds of cyber attacks. Based on artificial intelligence (AI), Zimperium’s Intrusion Prevention System (IPS) is the only solution offering comprehensive protection from mobile infiltration of your organization’s network. Zimperium’s suite of security products enables you to give employees keys to your network without risking that they unknowingly hand out duplicates.

Website: http://www.zimperium.com
Category: Security
Tags: companies, cyber attack, fraud, mobile, mobile security, protection
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Sift Science San Francisco, CA

Sift Science fights fraud with large-scale machine learning. Machine learning lets a computer program recognize patterns of fraudulent behavior based on past examples. What makes Sift Science's program unique is the resolution of patterns learned. The system has learned one million fraud patterns and counting, including specific page navigation sequences, IP ranges, email address patterns, graph connectivity structures, browser configurations, and even writing styles that predict fraudulent activity. Integrate in minutes, and start fighting fraud today.

Website: https://siftscience.com
Category: Security
Tags: fraud, fraudulent, machine learning, protection, safe, security
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