Deepwatch launches its Bengaluru GCC to tap India’s deep cybersecurity and AI talent

“We are here for the talent, not for the cost.” Deepwatch CEO John DiLullo opened its Bengaluru GCC launch with a line that captured a larger shift. India has moved past the old cost arbitrage narrative. Value creation, engineering depth and innovation now define why global companies, large to small, launch GCCs in the country.

It is in this context that Deepwatch, a company shaped around the philosophy of precision based Managed Detection and Response (MDR), has opened its new Global Capability Centre in Bengaluru. The centre has been designed not just to expand operations but to anchor the future of Deepwatch’s AI driven MDR innovation out of India.

Rethinking MDR through the lens of SOC overload

Enterprise cybersecurity today is shaped by complexity. Cloud workloads move faster than teams can track. SaaS adoption has fragmented visibility. Attackers now use automation and AI to generate new variants of threats at a pace traditional systems cannot keep up with. Security operations teams are stretched thin, dealing with thousands of alerts every day while balancing shrinking staff and growing regulatory expectations.

John DiLullo, CEO

“We are here for the talent, not for the cost. Bengaluru gives us the depth and capability to build the future of MDR.”

This is the environment that led to the creation of Deepwatch. The company began with a simple observation. Modern SOCs struggle to navigate the cyber threat landscape. They have many tools and solutions but not the people or time or the right technology to interpret signals and respond quickly enough. Deepwatch’s founders saw an opportunity to build a model where AI and human judgment work together to bring precision and clarity back into threat defence. That sits on top of the existing threat detection layer enterprises already have, and Deepwatch amplifies those detection capabilities.

As DiLullo put it, “The hardest part of cyber defence today is not the attack. It is the ability to react fast and bring a method to tame the madness.”

Deepwatch built its MDR platform to integrate with existing customer tools rather than replace them. Its abstraction and correlation engine normalises logs, enriches telemetry and surfaces meaningful alerts. Over time, this approach shaped what the company calls Precision MDR, a model that focuses on accuracy, context and outcome driven threat defence.

Why Bengaluru is central to Deepwatch’s next chapter

Deepwatch’s new Bengaluru GCC is structured as a product and engineering hub. India’s mix of cybersecurity expertise, cloud native engineering capability and emerging AI talent made it the natural choice for Deepwatch’s next phase of growth.

Mye Bahamonde, EVP, People

“We are deeply bullish about India’s cybersecurity and AI talent. The calibre of engineers here is shaping how we build, scale and reimagine MDR globally.”

“A year ago, we had no employees in India,” DiLullo said. “Today, this team is the backbone of our product and AI efforts. And we believe we can scale even further.”

Prasad Channabasappa, Managing Director for India, described the shift clearly. “India is no longer the place companies come to for cost efficiency. It is where they come for innovation and competitive advantage. Ninety two percent of our team here is engineering and product. This centre is not a back office. It is a catalyst for building the future of intelligent, proactive security from India for the world.”

Prasad Channabasappa, Managing Director, India

“Ninety two percent of our team is engineering and product. This centre is not a back office. It is a catalyst for innovation from India for the world.”

The Bengaluru centre brings together detection engineering, cloud operations, product teams and AI research. These teams work closely with Deepwatch’s global security experts to design and train the company’s next generation agentic AI systems.

AI and humans working together inside the modern MDR engine

For Deepwatch, the future of MDR is built on an AI first but human guided model. During the launch, the company demonstrated its agentic AI system, which automates investigative workflows, summarises technical information and guides response actions. Analysts review and validate these steps, ensuring both speed and control.

Anand Ramanathan, Chief Product Officer, explained the philosophy behind this approach. “AI is not here to replace humans. It is here to lift them. AI solves patterns it has seen before. Humans solve problems they have never seen before.”

Anand Ramanathan, Chief Product Officer

“AI is not here to replace humans. It is here to lift them. AI handles the patterns it has seen before. Humans handle what they have never seen.”

He pointed to three trends driving this change. Attack patterns shift daily. Attackers themselves are using AI to generate new variants of threats. And vulnerabilities across cloud, SaaS and endpoint tools appear faster than teams can address them. In this environment, security teams need answers in minutes instead of hours.

Ramanathan added that Deepwatch’s AI models are trained directly alongside live analysts. “You cannot build cyber AI in a lab. We train our models with real investigations and real context. That is why our accuracy is higher and why customers get clarity much faster.”

What Deepwatch shared about its operational performance

At the Bengaluru launch, Deepwatch offered a straightforward look at how its MDR platform performs at scale. The company processes 2 trillion security events every month, reflecting the volume of telemetry that modern enterprises generate across cloud, endpoint, identity and SaaS environments. On average, Deepwatch detects potential threats in five minutes, begins investigation in six minutes and escalates cases that require action in about thirty two minutes.

Deepwatch said that 75 percent of the alerts it raises are validated as true positives by customers, reducing noise and helping teams focus on real issues. When incidents do require escalation, 98 percent meet or exceed customer expectations. The company also reports a customer satisfaction score of 95 percent, significantly higher than the industry average of 84 percent.

The focus, however, was not on the size of the numbers. It was on the operational rhythm that modern security demands. “Speed matters,” DiLullo said. “When a customer has a problem, we are on it quickly. Most organisations cannot match that pace on their own.”

The CISO reality and why MDR adoption is accelerating

The conversations at the Bengaluru launch reflected a consistent truth. CISOs globally are facing similar pressures. Alert fatigue continues to increase as organisations rely on dozens of tools that do not integrate well. Security teams are smaller than before. The attack surface keeps expanding across cloud, SaaS and hybrid environments. AI augmented threats evolve faster than legacy controls. And boards increasingly expect measurable security outcomes instead of activity reports.

In this environment, MDR has become essential. It provides the speed, clarity and around the clock coverage that most internal teams cannot sustain. The next stage of MDR will depend on how effectively AI, automation and human expertise are brought together at scale.

Deepwatch sees its new Bengaluru GCC as the place where that future will be shaped.

A strategic bet on India’s innovation engine

For Deepwatch, India is not an outsourcing location. It is the place where the company plans to build its most advanced capabilities.

“We are convinced Bengaluru is the ideal location to advance our mission,” DiLullo said. “This city has the right mix of cybersecurity depth, cloud engineering expertise and AI talent at scale.”

In a world where speed, precision and context determine whether an incident becomes a breach, Deepwatch believes the future of security operations will be built where the best talent is. Today, that centre of gravity is in Bengaluru.