How AI agents can string together a fragmented cybersecurity stack

The growing threat of AI-powered attacks has exposed many of the limitations of the existing cybersecurity landscape. While awareness about AI-enabled threats and the need for more proactive defense is growing, enterprises are still constrained by a fragmented tools ecosystem.  

A CDW surveyOpens a new window of 950 security professionals in the U.S. found that 68% of organizations use between 10 and 49 security tools or platforms. This tool sprawl is partly a result of layered security strategies, which require multiple tools to protect different parts of an organization’s digital infrastructure. 

For example, EDRs (endpoint detection and response) keep an eye on devices for ongoing threats, IAMs (identity and access management) manage user access and permissions, and firewalls prevent unauthorized network traffic. Each tool produces logs in various formats along with its own set of alerts and severity levels. Analysts frequently need to manually compare data from several dashboards to gain a comprehensive view.

Cybersecurity firm Fortinet concursOpens a new window that security fragmentation leads to blind spots and inconsistent policy enforcement. This makes it difficult for security teams to correlate signals across systems, resulting in slow detection and response to cyber incidents.