Whitepapers

Security Operations Centers (SOCs) have reached an inflection point. Traditional, linear workflows—optimized for log ingestion, rule-based alerting, and manual triage—are collapsing under the weight of today’s threat landscape. The modern SOC must evolve into a recursive, intelligent system: the Autonomous SOC.

Gaining visibility and responding to attacks across the entire enterprise infrastructure (endpoints, servers, applications, SaaS, cloud, users, etc.) is a very tall order in today’s cybersecurity environment.

A recent study by Information Risk Management points out that 86 percent of enterprises will be impacted by AI (Artificial Intelligence) in the next five years.

According to ESG research, 82% of organizations believe that cyber-risk has increased over the past 2 years. This increase is due to factors like an increase in cyber-threats, greater dependence on IT for fulfilling business mission, and an increase in the amount of assets on the attack surface.

Cybersecurity has evolved over the past 30 years, moving from perimeter defenses (firewalls) to more holistic approaches that incorporate security for email, endpoints, applications, servers, and cloud. With this evolution have come a huge array of discrete tools that provide protection in each area, so now a typical MSSP has dozens of individual tools to

The current model for cybersecurity is broken. It consists of acquiring and deploying a lot of stand-alone tools, each with its own console…

The enterprise SOC (Security Operations Center) concept is often glamorized – big monitors, flashy visualizations and tiers of analysts somehow consuming all this information. With the threat landscape increasing and attacks becoming more commonplace, there is no time to focus on anything except security results. That’s why the future of enterprise cybersecurity is not the