The Future of AI and Machine Learning; A New Beginning for Endpoint Security Testing

Cyberattacks are evolving at a much faster pace than the traditional security solutions can adapt to...so we must run to catch up. Machine learning and artificial intelligence (AI) assist a behavioral model of threat detection in an industry-leading alternative to traditional methods of endpoint security test suites. Since signature-based virus detection has become passé, and while it's no secret that true 100% efficacy unattainable, advanced methodologies and a more robust testing criteria are essential to keep organizations as secure as possible.

Test suites that adhere to the technologies of the past 10 years need a fresh and constantly adaptable approach to diffuse new and 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:

• Why organizations must adjust their approach to endpoint security software testing;
• The death of signature-based anti-virus detection;
• The future of machine learning and AI in cybersecurity.