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. 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 delivery model, spanning detection, investigation, and remediation workflows. These AI agents do more than 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, told MSSP Alert, "We’ll record time-to-detect and time-to-respond on every incident, showing customers how AI-driven context reduces investigation time." In the Agentic SOC, analysts receive real-time risk overlays, attack-path visuals, and contextual playbook steps, allowing them to concentrate on the few critical incidents that truly matter. "That’s how we help customers cut through noise and apply their expertise where it counts," Vaughan explained. Beyond speed and alert volume, DXC plans to track measurable outcomes 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 dashboards for our customers, demonstrating continuous cyber-risk reduction and security posture improvements," she added.

Transparency, Governance, and the Role of Partners

Despite the autonomy of AI agents, DXC emphasizes transparency and governance, especially for regulated industries. Vaughan stated, "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 still require human review and electronic signoff. This layered approach ensures AI-powered security outcomes without sacrificing accountability or governance. "From pilot to full deployment, we evaluate 7AI’s analysis, recall precision, and decision path accuracy against live SOC telemetry. Models are tuned to align with each customer’s prioritized risks," Vaughan noted. The Agentic SOC model is an evolution, not a replacement, of DXC’s existing SOCs. "Agentic AI plays a critical role in the fight against cyber threats, offering an additional layer of continuous protection," Vaughan said. "This is the first step into an AI-augmented SOC where human expertise remains central." DXC also plans to integrate this model with its MSSP and MSP partners. "7AI’s capabilities are agnostic, as is DXC’s service model," Vaughan said. "We’re embedding 7AI into our existing partner ecosystem. This is not about displacing partners but elevating them alongside our customers."

Frequently Asked Questions (FAQ)

What is an Agentic SOC?

An Agentic SOC, or Agentic Security Operations Center, is a new model for managed security that leverages autonomous AI agents to automate security tasks, analyze threats, and make real-time decisions. This allows human security analysts to focus on more complex and critical issues.

What are the benefits of DXC's Agentic SOC?

The DXC Agentic SOC offers significant benefits, including substantial savings in analyst hours (over 224,000 saved for 7AI's customers) and operational costs (over $11 million saved). It enhances efficiency by automating repetitive tasks, improves threat detection and response times, and provides analysts with contextual information for better decision-making.

How do AI agents in the Agentic SOC operate?

These AI agents go beyond simply flagging alerts. They autonomously analyze context, understand attack paths, and assess risk impact to make real-time decisions. This allows for faster and more effective incident management.

How does DXC ensure transparency and governance with AI agents?

DXC emphasizes that their AI-driven reasoning is not a "black box." Actions are linked to structured data, confidence levels, and attack-path logic. High-risk actions require human review and approval, and all decisions are logged for compliance with frameworks like DORA, NIS2, HIPAA, and SOX.

What is the role of human analysts in an Agentic SOC?

Human analysts remain central to the Agentic SOC model. They receive enhanced context, risk overlays, and guided playbook steps, allowing them to focus their expertise on the most critical incidents that require human judgment and intervention.

How does this partnership benefit DXC's partners?

DXC plans to integrate this Agentic SOC model with its MSSP and MSP partners. The agnostic capabilities of 7AI’s platform and DXC's service model aim to elevate existing partners rather than replace them, fostering growth within the partner ecosystem.

Crypto Market AI's Take

The launch of DXC's Agentic SOC in partnership with 7AI marks a significant advancement in the cybersecurity landscape, leveraging autonomous AI agents to redefine security operations. This development aligns with the broader trend of AI integration across various industries, including finance and cryptocurrency. At Crypto Market AI, we understand the critical need for robust security, especially in the dynamic and often volatile world of digital assets. Our platform itself utilizes AI agents for market analysis and trading strategies, underscoring the power of these technologies. Just as DXC's Agentic SOC aims to cut through noise and focus on real risks, our AI tools are designed to help investors navigate the complexities of the crypto market by identifying actionable insights and mitigating risks. The emphasis on transparency and explainability in DXC's approach is particularly noteworthy, mirroring our commitment to providing users with clear, data-driven information.

DXC and 7AI Unveil Agentic SOC to Redefine Managed Security with Autonomous AI Agents