Since statistics began to be collected, cyberattacks have never been anything other than on the increase, getting worse. And yet many of the vulnerabilities attackers exploit are still due to internal risk factors that are largely detectable and preventable.

The good news is that the advent of Artificial Intelligence (AI) in defensive cyber security is showing its capabilities across areas like threat anticipation, breach detection, response and counteraction. AI also helps enterprise Security Operations Centers – SOCs – gain better control over security cost-of-ownership.

These technology-based risk challenges must be tackled within a complicated and exacting cyber regulation environment that’s increasingly global in dimension, while many organizations are acutely hampered by cybersecurity skills gaps.

As a result, up-to-date ROI assessment models must now scope beyond traditional cyber-security metrics. The situation has resulted in increased technological complexity, as security teams have deployed arrays of point solutions to fix gaps and vulnerabilities.

However, each of these point solutions has to be individually managed and too many tools can interfere with system visibility. A sound and up-to-date understanding of the pressures SOCs are subject to is key to ensuring a business’s security stays effective and resilient.

This whitepaper will highlight some of the operational challenges now faced by SOCs, and how Accenture Security Flywheel’s functionality and features have been engineered to address them.