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  • Deepwatch Appoints Brian Dhatt as CEO to Lead Autonomous SOC Platform
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Deepwatch Appoints Brian Dhatt as CEO to Lead Autonomous SOC Platform


Deepwatch Appoints Brian Dhatt as CEO to Lead Autonomous SOC Platform
  • by: Business Wire
  • |
  • May 5, 2026

Deepwatch, the leading autonomous SOC platform built on more than a decade of real-world security operations data, today announced the appointment of Brian Dhatt as Chief Executive Officer. Dhatt succeeds John DiLullo, who will remain with the company as an advisor. The company also announced the promotion of Chief Product and Technology Officer Anand Ramanathan to President, underscoring Deepwatch's commitment to scaling its platform, accelerating product innovation, and strengthening its leadership position in AI-driven security operations.

Quick Intel

  • Dhatt previously served as CTO at BigCommerce and Borderfree, both achieving successful IPOs during his tenure.

  • Ramanathan brings 20+ years from McAfee, Proofpoint, Cisco, and Skyhigh Security.

  • Deepwatch Guardian MDR Platform built on 10+ years of real-world SOC telemetry and operational data.

  • Backed by Springcoast Partners, Goldman Sachs, ABS Capital, and Splunk Ventures.

  • Platform combines agentic AI-driven automation with human-in-the-loop validation.

  • Focus on evolving toward Agentic AI SOC model with humans in the loop for accuracy and trust.

A Differentiated AI-Driven, Human-Led SOC Model

Deepwatch has established a differentiated market position through an AI-driven, human-led SOC model. The Deepwatch Guardian MDR Platform combines more than ten years of real-world SOC telemetry and operational data; a proprietary dataset spanning detections, investigations, response workflows, and outcomes; agentic AI-driven automation and orchestration deployed in production; human-in-the-loop validation to ensure accuracy, context, and continuous improvement; and deep integrations across enterprise security ecosystems. This foundation enables organizations to accelerate adoption of autonomous security operations while maintaining the visibility, control, and expert oversight required for enterprise environments.

Scaling the Autonomous SOC Platform

Deepwatch has a unique and powerful foundation—more than a decade of real-world security operations, a rich proprietary dataset, and AI-driven automation already delivering results at scale. What sets Deepwatch apart is how it combines that automation with human expertise. As the company continues to evolve toward an Agentic AI SOC model, the focus is on using AI to handle scale and speed while keeping humans in the loop to ensure accuracy, trust, and real-world outcomes. Rather than replacing human analysts, Deepwatch's approach uses AI to reduce noise, automate investigations, and surface the highest priority threats—allowing experts to focus on decision-making and response where it matters most.

Leadership for the Next Chapter

Brian is the ideal leader for Deepwatch's next chapter. His experience scaling complex technology platforms and leading organizations through periods of rapid growth will be invaluable as the company continues to extend its leadership in autonomous security operations. Anand is a proven leader with deep domain expertise and a strong track record of building category-leading security platforms. His expanded role ensures Deepwatch continues to translate its unique combination of AI-driven automation and human expertise into scalable, differentiated outcomes for customers. Backed by Springcoast Partners, Goldman Sachs, ABS Capital, and Splunk Ventures, Deepwatch represents a fundamental shift from traditional managed security models toward autonomous SOC operations.

About Deepwatch

Deepwatch is the leader in AI-driven, human-led security operations. We amplify human expertise with AI insights to reduce the risks that matter most to your business. Unlike one-size-fits-all MDR, Deepwatch delivers protection that is comprehensive, custom, clear, and ceaseless—stopping threats before and after they emerge with tailored responses at every step. Deepwatch is tuned to each customer's environment, trained on their priorities and the stack they've invested in to strengthen defenses and focus on what matters most. There are no black boxes—customers get clarity on every detection, decision, and data source, along with the name of the analyst behind it.

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