Deepwatch Appoints Brian Dhatt as CEO — Scaling the Autonomous SOC Platform Into Its Next Chapter of AI-Driven Security Operations
Deepwatch, the leading autonomous SOC platform built on more than a decade of real-world security operations data, has announced a significant leadership transition that positions the company for its next phase of growth. Brian Dhatt has been appointed Chief Executive Officer, succeeding John DiLullo, who will remain with the company as an advisor. Simultaneously, Deepwatch has promoted Chief Product and Technology Officer Anand Ramanathan to President — a move that signals a clear commitment to scaling platform innovation and strengthening the company's leadership in AI-driven security operations.
Dhatt brings more than two decades of experience building and scaling global, enterprise-grade technology platforms — including two successful IPOs — to a company that has spent over ten years assembling one of the most valuable proprietary datasets in managed security operations. The appointment signals a deliberate strategic direction: Deepwatch is moving decisively toward the Agentic AI SOC model, and it has brought in a leader whose career is defined by scaling complex platforms at critical inflection points.
"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 we combine that automation with human expertise. As we continue to evolve toward an Agentic AI SOC model, our focus is on using AI to handle scale and speed while keeping humans in the loop to ensure accuracy, trust, and real-world outcomes."
— Brian Dhatt, CEO, Deepwatch
A Career Defined by Scaling Platforms at Critical Inflection Points
Brian Dhatt's career follows a consistent pattern: joining high-growth technology platforms at the moment when ambition needs to meet operational scale, and building the engineering and product discipline to get there. Most recently, he served as Chief Technology Officer at BigCommerce — one of the world's leading e-commerce platforms, which completed a successful IPO during his tenure. Prior to that, he held the same CTO role at Borderfree, another platform that achieved a public offering while he led its technical organisation.
Across both roles — and the broader span of his career — Dhatt has led large, distributed engineering and product organisations through periods of rapid growth and technology transformation, serving mission-critical global enterprise customers throughout. That combination of platform-building experience, IPO-proven execution, and enterprise technology leadership is precisely the profile Deepwatch's board identified for this next phase.
Anand Ramanathan Elevated to President
Alongside Dhatt's appointment, Deepwatch has promoted Anand Ramanathan — its Chief Product and Technology Officer — to President. Ramanathan brings more than 20 years of product and go-to-market leadership across leading cybersecurity and cloud companies, including McAfee, Proofpoint, Cisco, and Skyhigh Security. His expanded responsibilities span product development, operations, and marketing — tightening the coordination between platform innovation and market execution as the company scales.
"Anand is a proven leader with deep domain expertise and a strong track record of building category-leading security platforms. His expanded role ensures we continue to translate our unique combination of AI-driven automation and human expertise into scalable, differentiated outcomes for our customers."
— Brian Dhatt, CEO, Deepwatch
The Guardian MDR Platform™ — A Decade of Real-World SOC Data as Competitive Moat
What distinguishes Deepwatch from the broader managed security market is not just its AI capability — it is the data foundation on which that AI is built. Over more than a decade of operating a production SOC for enterprise customers, the company has assembled a proprietary dataset spanning detections, investigations, response workflows, and real-world outcomes. This is not synthetic data or public threat intelligence — it is operational ground truth accumulated through millions of real security events in production enterprise environments.
The Deepwatch Guardian MDR Platform™ is built on this foundation and operates across three reinforcing layers:
Proprietary SOC Dataset — Ten-Plus Years of Operational Ground Truth
More than a decade of real-world SOC telemetry, detections, investigations, response workflows, and outcome data — the raw material for AI models that understand how enterprise threats actually behave in production environments, not just in controlled labs or public vulnerability feeds.
Agentic AI-Driven Automation and Orchestration
AI automation deployed in production — reducing alert noise, automating routine investigations, and surfacing the highest-priority threats so that human analysts can focus on decision-making and response where it matters most. The platform augments rather than replaces human expertise, maintaining the accuracy and trust that enterprise security demands.
Human Expertise in the Loop — Accuracy, Trust, and Enterprise Confidence
Every AI-driven finding is validated by experienced security professionals before action is taken. This human-in-the-loop model enables organisations to adopt autonomous security operations with confidence — maintaining the visibility, control, and expert oversight that enterprise environments and compliance frameworks require.
"Brian is the ideal leader for Deepwatch's next chapter. His experience scaling complex technology platforms and leading organisations through periods of rapid growth will be invaluable as the company continues to extend its leadership in autonomous security operations."
— Bill Phelps, Chairman of the Board, Deepwatch
Backed to Scale — Investor Confidence and Financial Foundation
Deepwatch is backed by a group of investors whose participation reflects serious institutional confidence in the autonomous SOC market. With over $200 million in growth capital from Goldman Sachs, Springcoast Partners, ABS Capital, and Splunk Ventures, the company has the financial foundation to sustain the platform investment, engineering expansion, and market execution required to compete for category leadership at enterprise scale.
Key Takeaways
Deepwatch has appointed Brian Dhatt as CEO — a leader with 20+ years of enterprise platform-building experience and two successful IPOs, hired to scale the autonomous SOC platform into its next phase.
Anand Ramanathan is promoted to President — bringing 20+ years across McAfee, Proofpoint, Cisco, and Skyhigh Security to accelerate product innovation and market execution simultaneously.
Deepwatch's Agentic AI SOC model — using AI for scale and speed with humans in the loop for accuracy and trust — is built on 10+ years of proprietary operational SOC data, a structural advantage that cannot be replicated quickly by new market entrants.
Backed by Goldman Sachs, Springcoast Partners, ABS Capital, and Splunk Ventures with $200M+ in growth capital, Deepwatch has the financial foundation to execute on its autonomous SOC vision at enterprise scale.
The appointment of Brian Dhatt as CEO of Deepwatch is a signal, not just an announcement. It reflects a company that has spent over a decade building something genuinely difficult to replicate — a proprietary operational SOC dataset, production AI automation, and a human-led delivery model that enterprises actually trust — and that is now ready to scale it decisively. For the managed security market, it is a clear indication that the autonomous SOC era is not approaching. It is already here, and Deepwatch intends to lead it.
To learn more about Deepwatch and the Guardian MDR Platform™, visit deepwatch.com.