CTOs on the Move

Gemalto

www.gemalto.com

 
Gemalto brings trust to an increasingly connected world. We do this by delivering software and other technologies to businesses and governments that helps them authenticate identities and protect data. Our 14,000 employees of 117 nationalities serve customers in 180 countries. Gemalto`s technology is at the heart of modern life, from payment to enterprise security and the internet of things. It enables our clients to deliver secure digital services for billions of individuals and things. Gemalto is present in 49 countries and is dual listed on Euronext Amsterdam and Paris as well as being a member of the Dutch AEX stock index. ...
  • Number of Employees: 5K-10K
  • Annual Revenue: > $1 Billion
  • www.gemalto.com
  • 9442 N Capital Of Texas Hwy Suite 400​
    Austin, TX USA 78759
  • Phone: 512.257.3900

Executives

Name Title Contact Details
Jason Hart
Chief Technology Officer Profile

Similar Companies

Stanley Convergent Security Solutions

Stanley Convergent Security Solutions is a Naperville, IL-based company in the Computers and Electronics sector.

Synology

Synology is a Redmond, WA-based company in the Computers and Electronics sector.

Cop-Usa

Cop-Usa is a Miami, FL-based company in the Computers and Electronics sector.

PacketSled

PacketSled is an advanced breach detection, incident response, and network forensics platform that enables the enterprise to continuously monitor and respond to security threats in real-time. The platform operates either in the cloud or on premise. Customers can deploy sensors in 15 minutes or less, getting immediate packet level forensic visibility.

SignalSense

SignalSense exists to increase the fidelity of security alerts and expand on what can be detected in enterprise networks. The challenges facing those responsible for securing networks have increased exponentially in the last few years -- both from the sophistication of the threats seen, the explosion of agile development and the distribution of applications across varied environments. This is further compounded by the move to public cloud environments, where traditional inspection methods don’t exist. The challenges of delivering high fidelity security visibility into these environments will require new types of security tools that are just now being developed. Machine learning and neural networks, combined with new scalable methods of data collection and processing will provide the opportunity to keep up with the pace of growth in these new agile environments. The foundation of the SignalSense approach is an investment in data science that leverages a variety of machine learning methods, including deep learning, and GPU capacity to classify, characterize and profile network traffic. This enhances detection of threat and compromise, saving valuable investigation time for network security operators.