Presented by DXC Technology
In today’s cybersecurity realm, the influx of threats has become increasingly sophisticated, outpacing attacks from just months ago. Adversaries have harnessed AI to enhance their strategies, putting immense pressure on security operations and analysts. Chris Drumgoole, president of global infrastructure services at DXC Technology, emphasizes the urgency for a new model to support organizations in the face of expanding threats and a shortage of skilled professionals.
Traditional Security Operations Centers (SOCs) are struggling to cope with the overwhelming volume of alerts using linear methods that are no longer viable. Drumgoole explains that the existing approach of ticketing and investigating threats is inadequate given the current threat landscape. The combination of high alert volumes and the complexity of modern attacks has rendered the old model ineffective.
To address alert fatigue and slow response times, organizations are adopting agentic security, employing intelligent AI agents to triage, investigate, and respond to incidents autonomously. DXC has collaborated with 7AI to introduce the DXC Agentic SOC, which integrates fully autonomous AI agents into its managed security operations.
Prior to implementing this solution for clients worldwide, DXC conducted internal testing using 7AI’s platform to optimize its own SOC capabilities. The results were promising, with an 80% reduction in tier-1 analyst workload and a 95% decrease in the number of tickets requiring human analysis. This led to a 67% reduction in mean time to respond in tier-1 and tier-2 SOCs.
A Paradigm Shift in Threat Response
The transition to agentic security represents a significant departure from conventional automation, akin to the shift from static defense to dynamic response. Agentic security is adaptive, contextual, and end-to-end, offering a more proactive defense approach. While human oversight remains essential, agentic AI has the potential to evolve from reactive triage to self-directed defense.
Drumgoole emphasizes the distinctiveness of the AI model, which approaches each alert uniquely, learning from previous encounters to enhance its response capabilities. This evolution marks a fundamental change in how threats are handled, promising increased efficiency and speed in incident resolution.
DXC Agentic SOC addresses the bottlenecks associated with manual alert processing, aiming to save customers valuable time by reducing false positive rates. Response times have significantly improved, with a reduction from 74 minutes to 24 minutes on average, surpassing human capabilities by 70%.
Despite the compelling data showcasing the accuracy and efficiency of agentic security, organizations may hesitate to embrace AI-driven processes due to operational and emotional barriers. Drumgoole stresses the importance of overcoming these challenges, highlighting the imperative for organizations to adapt or risk obsolescence.
Executive-level support and a clear mission are essential for successful integration of agentic security, which can be implemented and scaled seamlessly. By viewing it as an extension of existing security practices rather than a disruptive technology shift, organizations can leverage AI to enhance their cybersecurity posture.
“Those who embrace this transformation will thrive in the evolving landscape,” Drumgoole asserts. Investing in training and deployment of AI agents is key to maximizing their effectiveness, ensuring competitiveness in the ever-changing cybersecurity landscape.
Embracing Innovation for Future Success
As organizations navigate the complexities of modern cybersecurity threats, embracing AI-driven solutions like DXC Agentic SOC is imperative for staying ahead of adversaries. The evolution towards agentic security represents a pivotal moment for organizations to adapt and thrive in a rapidly changing environment.
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