August 6, 2025
5 min read
Suparna Chawla Bhasin
DXC’s Agentic SOC leverages autonomous AI agents to cut investigation time, reduce risk, and enhance security operations globally.
DXC and 7AI Launch Agentic SOC to Revolutionize Managed Security with Autonomous AI Agents
DXC Technology has introduced a new security operations model centered on AI agents by launching the DXC Agentic Security Operations Center (SOC) in partnership with 7AI. This innovative approach aims to automate repetitive and time-consuming tasks, enabling security teams to focus on genuine risks and critical threats. The impact is already tangible. Across 7AI’s existing customer base, the platform has saved over 224,000 analyst hours and reduced operational costs by more than $11 million. DXC is now scaling this value globally by integrating 7AI’s platform into its detection, investigation, and remediation workflows. These AI agents do more than just tag alerts; they autonomously make real-time decisions based on context, attack paths, and risk impact.Redefining Analyst Workflows and Risk Measurement
Dawn-Marie Vaughan, Cybersecurity Global Offering Lead at DXC Technology, shared insights with MSSP Alert:"We’ll record time-to-detect and time-to-respond on every incident, exhibiting to customers how AI-driven context reduces investigation time."In the Agentic SOC, analysts receive real-time risk overlays, attack-path visualizations, and contextual playbook steps. This allows them to concentrate on the few, critical incidents that truly matter, effectively cutting through alert noise and applying their expertise where it counts. Vaughan emphasized that the focus is not only on speed and alert volume but also on measurable outcomes. DXC plans to track metrics such as mean time to detect (MTTD), mean time to respond (MTTR), and breach-impact cost reduction through risk-based scoring dashboards.
"By combining MTTD/MTTR improvements with breach-impact cost models, we’ll generate succinct risk-score based dashboards for our customers, demonstrating continuous reduction of cyber-risks and security posture improvements," she added.
Transparency, Governance, and the Role of Partners
Despite the autonomy of AI agents, DXC ensures that the system operates with transparency and governance, especially important for regulated industries. Vaughan explained:"Dynamic Reasoning isn’t a black box. It’s a governed, explainable accelerator."All AI-driven actions are linked to structured data, confidence levels, and attack-path logic, making it easier for analysts to verify, approve, or override recommendations. Every decision is logged in a compliant audit trail aligned with frameworks such as DORA, NIS2, HIPAA, and SOX. High-risk actions require human review and electronic signoff. This layered approach allows DXC to deliver AI-powered security outcomes without sacrificing accountability or governance. From pilot to full deployment, 7AI’s analysis, recall precision, and decision path accuracy are continuously evaluated against live SOC telemetry. Models are fine-tuned to align with each customer’s prioritized risks. Regarding the future of DXC’s existing SOCs, Vaughan clarified that the Agentic model is an evolution rather than a replacement:
"We believe Agentic AI plays a critical role in the fight against cyber threats, offering an additional layer of continuous protection. This is the first step into an AI-augmented SOC where human expertise is at the center."DXC also reassures its MSSP and MSP partners that the Agentic SOC model will be integrated into the existing partner ecosystem rather than replacing them.
"7AI’s capabilities are agnostic, as is DXC’s service model. We’re embedding 7AI into our existing partner ecosystem. This is not about displacing partners, but about elevating them alongside our customers," Vaughan said.
Source: Originally published at MSSP Alert on August 6, 2025.