Nick Warner, chief operating officer at SentinelOne (NYSE: S), said federal agencies should look at the potential of artificial intelligence, machine learning and other autonomous capabilities in protecting critical assets and sensitive data of citizens from cyberthreats and accelerating the detection of cyber vulnerabilities.
“These automations are designed to monitor the growing number of attack vectors in real time and present the full context of an attack in a view that’s easy to understand and modeled after a kill chain,” Warner wrote.
He explained how machine-speed security tools could help network defenders analyze large data volumes and speed up detection of breaches.
He called on agencies to understand the techniques used by threat actors and how AI and ML could provide automatic visibility into those techniques.
Warner discussed how the company’s SentinelOne Singularity platform could enable organizations to counter adversaries using AI and ML capabilities.
“SentinelOne Singularity, a FedRAMP Moderate-compliant security platform, connects AI/ML models, telemetry and context with automation and response so that it can make a decision in milliseconds and take action in real time,” he noted.