
Presented by DXC Technology
The landscape of cybersecurity threats is evolving rapidly, with the use of AI by malicious actors escalating the volume and complexity of attacks. Chris Drumgoole, president of global infrastructure services at DXC Technology, highlights the challenges faced by security operations and analysts in this new era.
Traditional Security Operations Centers (SOCs) are struggling to cope with the sheer number of alerts and false positives, leading to delays in response times. In response, organizations are turning to agentic security, employing intelligent AI agents to automate threat detection and response processes.
DXC Technology has collaborated with 7AI to launch the DXC Agentic SOC, which leverages autonomous AI agents to enhance security operations. By implementing this technology internally, DXC saw significant reductions in analyst workload and response times, paving the way for a more efficient and effective SOC.
Redefining Threat Response
Agentic security represents a paradigm shift in cybersecurity, moving from rule-based automation to adaptive, contextual AI-driven defense mechanisms. This approach enables faster and more accurate incident response, ultimately improving overall security posture.
DXC’s Agentic SOC has demonstrated tangible benefits, including a substantial decrease in false positives and faster response times. By streamlining alert processing and leveraging AI capabilities, organizations can achieve significant efficiencies in their security operations.
Embracing Innovation
Despite initial reservations about AI integration, the necessity of adapting to the evolving threat landscape is clear. Organizations must overcome operational and cultural barriers to fully leverage the potential of AI-driven security solutions.
Drumgoole emphasizes the importance of executive support and a proactive approach to integrating AI into existing workflows. By investing in training and deployment of AI agents, organizations can stay ahead of emerging threats and drive business growth.
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