Deepwatch Opens Bangalore Center of Excellence to Accelerate AI-Powered MDR for Global Customers
Dec 2, 2025 - PALO ALTO, Calif. Deepwatch announced the opening of its Global Capability Center (GCC) in Bangalore, India. The move expands access to top engineering talent and establishes round-the-clock development cycles to improve release velocity, platform quality, and customer response time.
The Bangalore GCC will advance Deepwatch's AI-driven threat detection platform while maintaining the personal service customers expect. With teams operating across time zones, Deepwatch can ship faster, reduce lead time for change, and sustain a tighter feedback loop from production to roadmap.
"This expansion represents a fundamental shift in how we approach innovation-we're not just opening an office, we're creating a global development engine that keeps our customers ahead of changing threats," said John DiLullo, Chief Executive Officer at Deepwatch. "India's exceptional talent in cybersecurity, AI, and enterprise platforms allows us to scale innovation while maintaining the precision and responsiveness that define our service."
Why this matters for product development leaders
For product leaders building security platforms, this is a clear signal: run a global operating model that pairs AI iteration with explainability and service. Deepwatch is leaning into continuous cycles, strong model governance, and platform scalability-without losing the customer intimacy that builds trust.
Operating model: 24/7 development done right
- Follow-the-sun squads with crisp handoffs, shared Definition of Done, and mirrored environments.
- Automated quality gates: contract tests, security scanning, and performance checks in CI/CD.
- Model governance: offline evals, drift monitoring, canary releases, and rollback paths for AI updates.
- Data boundaries and auditability: role-based access, PII controls, lineage, and retention policies.
- Incident feedback loop: detections and analyst notes flow straight into backlog and model improvements.
- Progressive delivery: feature flags, staged rollouts, and customer cohorts to de-risk change.
What the Bangalore GCC will build
- Advanced AI Development: Accelerating GenAI for threat detection and response automation.
- Platform Engineering: Scaling infrastructure to support global customer growth and higher data volumes.
- Product Innovation: New capabilities like threat exposure management to address emerging risks.
Deepwatch plans to scale the Bangalore team to 100+ professionals within 18 months across engineering, AI research, and product development.
"The GCC transforms our development velocity by enabling continuous innovation cycles," said Prasad Channabasappa, Managing Director, India at Deepwatch. "Our customers will see faster rollout of new threat detection capabilities, improved AI models, and platform enhancements-all while receiving the same personalized support they've come to expect."
Customer outcomes you can measure
- Faster time-to-capability through follow-the-sun delivery.
- Clear explainability-no black boxes. Customers see detection logic, decisions, data sources, and the analyst behind each response.
- Stronger fit with each environment by training on the customer's stack and priorities.
- 24/7 coverage by security experts, augmented by AI.
A practical playbook you can borrow
- Set 24-hour dev loops: region A builds, region B extends, region A ships. Standardize a 12-hour handoff note with risks, blockers, and next tests.
- Adopt the four key delivery metrics: lead time for change, deployment frequency, change fail rate, and MTTR.
- Treat AI like software: reproducible datasets, evaluation harnesses, bias/red-team tests, canary + shadow modes, and rollback plans.
- Make security a product feature: data contracts with partners, signed schemas, and continuous compliance checks.
- Codify decisions: architecture decision records, API guidelines, and incident postmortems that feed the roadmap.
- Keep customers in the loop: a security advisory board and quarterly risk themes to drive prioritization.
How the facility is set up
- Modern, collaborative workspaces designed for cross-regional teamwork.
- Seamless integration with North American operations to keep delivery consistent across geographies.
- Focus on high-impact squads: AI/ML, detection engineering, platform/SRE, and product experience.
Professionals interested in joining can explore roles at the Deepwatch Careers page.
About Deepwatch
Deepwatch is the leader in Precision MDR powered by AI and humans. The service amplifies human expertise with AI insights to reduce the risks that matter most. Protection is comprehensive, custom, clear, and ceaseless-stopping threats before and after they emerge with responses at every step. Customers get full transparency into detections, decisions, and data sources, along with the name of the analyst behind each action. Around-the-clock protection is delivered by security experts, augmented by AI.
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