A New Approach to Endpoint Security Software Testing

March 09 15:39 2017 Print This Article

Security product testers have architectured their test suites to adhere to the technologies of the past 10 years. However, as endpoint security and the threat landscape continue to evolve, so must testing suites evolve as well. Advanced methodologies and a more robust testing criteria are essential to keep organizations as secure as possible. Signature-based virus detection has become passé, and while it is no secret that true 100% efficacy isn’t attainable, attackers are evolving at a faster pace than the traditional security solution can adapt to and we must run to catch up.

Machine learning and artificial intelligence (AI) assist a behavioral model of threat detection with pre-execution scanning and by providing a more robust approach to diffuse different types of attacks…and all at machine-learning speed. Without hindering staff or your SOC team, this interview explores an industry-leading alternative to traditional methods.

Download this transcript of the ISMG interview with Tomer Weingarten, CEO of SentinelOne which discusses:

  • The reasons why he argues that organizations must adjust their approach to endpoint security software testing;
  • The future of AI in cybersecurity;
  • The death of signature-based anti-virus detection.

Follow the link below for the transcript.

This article and image were originally published here: http://www.databreachtoday.com/whitepapers/new-approach-to-endpoint-security-software-testing-w-3149

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