Automating Security Intelligence
Nearly every security intelligence function from setting policies and addressing vulnerabilities to detecting threats and anomalies used to be very manual in nature, said Jeetu Patel, SVP and GM of Cisco Security and Collaboration. But the signal-to-noise ratio has become increasingly unmanageable, Patel said, with most companies possessing so much data that they can’t find the needle in the haystack.
Organizations are looking for help prioritizing what needs to be done, and Patel said this can be accomplished by leveraging machine learning models and intelligent pattern detection to correlate events more effectively. From assessing risk to addressing anomalous behaviors, Patel said there needs to be automated intelligence baked in to make the offering usable for customers.
Businesses can reduce friction for network operations and security operational professionals by making it possible for them to set policies and approve applications from a single location, Patel said. Machine learning can be leveraged to suggest default settings and policies for businesses, massively simplifying the mundane parts of security management so that professionals can focus on higher-value tasks.