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11/13/2017
04:00 PM
Jai Vijayan
Jai Vijayan
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Emerging IT Security Technologies: 13 Categories, 26 Vendors

A rundown of some of the hottest security product areas, and vendors helping to shape them.
7 of 14

Artificial Intelligence/Machine Learning

Tools that enhance and automate threat prevention, detection, and response capabilities by independently 'learning' from existing and new data sets. 

Vendor: Deep Instinct

Real-time protection against advanced persistent threats using deep learning, deep training, and predictive analytics.
	
Factors to Watch

- Among first to apply deep learning to cybersecurity
- GPU-based neural network and CUDA parallel computing platform for threat detection
- Back by NVIDIA; recently closed $32 million Series B funding round



Key Executives: Co-founder and CTO Eli David is a leading expert in the field of computational intelligence. Heavily staffed with PhDs and Masters-degree holders in mathematics.

Founded: 2014

Vendor: Vectra

Automated AI-based hunting for in-progress attacks and incident response.
	
Factors to Watch

- Playbooks for responding to in-progress attacks
- Integration with Phantom security automation and orchestration; Five patents for AI-based threat hunting
- Solidly venture backed with over $86 million in funding



Key Executives: President and chief executive officer Hitesh Sheth is a former chief operating officer at Aruba Networks.

Founded: 2010

Analyst Commentary: AI and machine learning are really capabilities that vendors are building into the products and do not quite constitute a separate category as yet. 'They are just buzzords,' Pescatore says. Lindstrom agrees.

Image Source: Phonlamai Photo via Shutterstock

Artificial Intelligence/Machine Learning

Tools that enhance and automate threat prevention, detection, and response capabilities by independently 'learning' from existing and new data sets.

Vendor: Deep Instinct

Real-time protection against advanced persistent threats using deep learning, deep training, and predictive analytics.

Factors to Watch

  • Among first to apply deep learning to cybersecurity
  • GPU-based neural network and CUDA parallel computing platform for threat detection
  • Back by NVIDIA; recently closed $32 million Series B funding round

Key Executives: Co-founder and CTO Eli David is a leading expert in the field of computational intelligence. Heavily staffed with PhDs and Masters-degree holders in mathematics.

Founded: 2014

Vendor: Vectra

Automated AI-based hunting for in-progress attacks and incident response.

Factors to Watch

  • Playbooks for responding to in-progress attacks
  • Integration with Phantom security automation and orchestration; Five patents for AI-based threat hunting
  • Solidly venture backed with over $86 million in funding

Key Executives: President and chief executive officer Hitesh Sheth is a former chief operating officer at Aruba Networks.

Founded: 2010

Analyst Commentary: AI and machine learning are really capabilities that vendors are building into the products and do not quite constitute a separate category as yet. "They are just buzzords," Pescatore says. Lindstrom agrees.

Image Source: Phonlamai Photo via Shutterstock

7 of 14
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MarkS94105,
User Rank: Apprentice
12/8/2017 | 2:28:08 PM
Story -> Potentially Valuable; Site -> Problematic Viewing and Printing
This topic and story is presented as a white paper.  To read the story, we must click the next arrow 13 times to see all 14 pages.  This is time consuming as the site loads so many advertisements.  There is no simple way to print the story, as the print function show only 1 of 14, 2 of 14, etc.  This may be by design, but I find it a serious barrier and will seek other sources for this material.  
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