Security News > 2020 > May > Realizing the Potential of AI-Driven Security Operations

Siloed security tools and isolated network development and security projects have resulted in vendor sprawl, which means more management consoles to track and more data that isn't being correlated quickly enough to detect fast-moving threats.

Some AI systems are now able to aggregate and analyze massive amounts of data coming from hundreds of sources across an organization's IT and security infrastructure to detect hidden threats - a process that not even the best data analysts could match.

By weaving AI across the network through strategically deployed security platforms, organizations not only enjoy comprehensive visibility and protection across all devices, users, endpoints, and environments, but centralized AI-driven security operations can also collect, correlate, and communicate across that security fabric to ensure faster and more comprehensive response and remediation.

This enables the organization to reduce the risk and potential impact of security incidents by blocking more threats, detecting them sooner, and responding to breaches and exploits faster - while simultaneously improving the overall efficiency and cost of their security operations.

By driving advanced AI technologies deep into the distributed network and security infrastructure, organizations can significantly enhance their ability to detect and respond to threats, adapt security policies and protocols in real time to keep up dynamic network changes, and extend visibility and control across the entire distributed network.

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