SentinelOne is attempting to secureIndia’s AI-driven enterprise. With its AI-native cybersecurity platform, SentinelOne is moving from reactive defence to AI-native cyber resilience. In an exclusive interaction, Diwakar Dayal, MD & Area VP, SentinelOne India & SAARC informs Rajneesh De, Group Editor, APAC Media & CXO Media that the broader shift is from managing multiple security tools to having a unified platform that can prevent, detect, investigate and respond at machine speed. The use cases span ransomware prevention, identity protection, cloud security, SOC modernisation and securing AI adoption, adds Dayal.
Since SentinelOne is a leader in AI security, what solutions and services are currently in its portfolio and what are their use cases?
SentinelOne has built an AI-native cybersecurity platform designed to protect organisations across endpoints, cloud, identity, data and AI environments. The Singularity Platform brings together capabilities including endpoint protection, XDR, cloud security, identity security, AI SIEM and Purple AI. We also provide services including Managed Detection and Response, Threat Hunting, Incident Readiness and Response, Technical Account Management and guided deployment services.
The broader shift we are seeing is from managing multiple security tools to having a unified platform that can prevent, detect, investigate and respond at machine speed. The use cases span ransomware prevention, identity protection, cloud security, SOC modernisation and securing AI adoption.
The common thread is the need for fewer silos, better context and faster response as organisations deal with increasingly complex environments.
How would you assess the impact of increasing adoption of SentinelOne’s Singularity Platform amongst Indian enterprises and government organizations?
India’s rapid digital transformation is also expanding the cyber attack surface. Organisations are operating across cloud, endpoints, identities, remote environments and increasingly AI-driven workloads.
As these environments become more complex, security can no longer remain fragmented. The increasing adoption of platforms such as Singularity reflects a broader shift from reactive detection towards more autonomous prevention, detection and response.
For enterprises and government organisations, this is ultimately about resilience. The objective is not simply to detect more threats, but to understand them faster, contain them earlier and reduce disruption to critical operations.
India’s growing focus on digital transformation and data sovereignty makes this increasingly important. Organisations need security platforms that can provide visibility across their environments while helping teams respond at the speed of the attack.
How would you analyze the benefits of the Purple AI agent in adding a resilient layer of security at every enterprise touchpoint?
The biggest shift we are seeing with AI in cybersecurity is that it is moving beyond simply helping analysts process information. AI can help security teams investigate incidents, correlate information and get to actionable answers much faster.
Purple AI acts as a force multiplier for security teams by helping with investigation, threat hunting, alert triage and understanding activity across multiple sources. The fundamental constraint today is not a lack of data, but the limited time and expert attention available to investigate it.
With Purple AI Agentic Investigation, investigations can be initiated automatically when a threat crosses a defined threshold. Purple AI can collect evidence, correlate telemetry and build an attack timeline while analysts retain visibility and control.
We see AI as extending the analyst, not replacing them, allowing teams to focus more on judgement, threat hunting and response decisions.
What are SentinelOne’s recommendations for best practices for helping enterprises resist identity attacks? How have conversations with CISOs evolved regarding this?
Identity has become one of the most important control planes in modern cybersecurity. As organisations move to cloud, SaaS, remote work and increasingly autonomous systems, the traditional network perimeter is no longer sufficient.
We recommend an identity-first, Zero Trust approach, including phishing-resistant MFA, least-privilege principles, reducing standing administrative privileges and continuously monitoring identity behaviour.
CISOs also need to look beyond human identities. Service accounts, machine identities, bots and AI agents can increasingly have meaningful access to enterprise systems and therefore need appropriate governance and scrutiny.
The conversation has evolved from simply asking, Who has access? to asking, Is this identity behaving as it should, and what happens if it is compromised?
This makes it increasingly important to connect identity with endpoint, cloud and behavioural telemetry to detect anomalous activity, understand the broader attack chain and respond quickly.
How does SentinelOne anchor its AI-native protection to Google Cloud globally?
SentinelOne has long been a strategic Google Cloud Security partner, with validated integrations across Google Security Operations, Google Threat Intelligence and Chrome Enterprise. In March, we expanded that relationship into a significant multi-year collaboration with Google Cloud to develop new solutions that strengthen cyber defence. The following month, we were also recognised as a 2026 Google Cloud Partner of the Year for Security: Google Threat Intelligence.
At its core, the collaboration brings together our AI-native platform, including our EDR and our security for AI apps and agents, with Google Cloud’s global-scale infrastructure and threat intelligence.
Infrastructure is what anchors this globally. Our Singularity Platform is now available across three strategic Google Cloud regions: North America, Frankfurt and the Kingdom of Saudi Arabia. That lets us support AI-powered security with in-country data residency and alignment with regional regulatory frameworks. For enterprises operating across regulated markets, it means they no longer have to trade off coverage, compliance and control.
We are also working with Google Cloud on AI security that protects the full AI stack, so organisations can adopt generative AI across the business with confidence. As more AI workloads are built and run in the cloud, protection has to follow them across endpoints, identities, cloud workloads and the AI applications themselves.
Ultimately, this gives organisations a clear path away from legacy, fragmented tools toward autonomous, AI-powered security that works everywhere they operate.
What are the key pillars of SentinelOne’s GTM strategy in India and what initiatives support this strategy?
India is a strategic market for SentinelOne, and our approach is built around three broad priorities: customer outcomes, local capability and ecosystem-led scale.
First, we are helping Indian organisations modernise their security architectures around AI-native protection, expanding beyond endpoint security into identity, cloud, XDR, AI SIEM and security for AI applications and agents.
Second, we are investing in local capability. India has a diverse technology landscape and distinct regulatory and operational requirements, so local understanding is critical.
Third, partnerships are central to how we scale. Indian enterprises typically operate across complex technology environments and work with system integrators, distributors, MSSPs and technology partners.
Our broader objective is to make advanced AI-powered security more accessible and operationally relevant for Indian organisations while helping them improve security outcomes.
What is the structure of SentinelOne’s partner ecosystem in India?
Partners are an important part of how we scale in India. Our ecosystem includes distributors, resellers, system integrators, MSSPs and MSPs, alongside technology partners that help customers integrate security into their wider IT environments.
Indian enterprises rarely operate in a single-vendor security environment. They typically have existing investments across multiple technologies and cloud platforms, which makes interoperability and open architecture increasingly important.
Distribution partners such as Redington help us expand access across India while supporting partner enablement and service-led delivery. Our technology integrations also allow customers to build on existing investments rather than requiring a disruptive rip-and-replace approach.
As enterprises modernise their SOCs, partners bring domain expertise, managed services and integration capabilities, while SentinelOne provides the underlying AI-native security platform. The objective is to give customers choice and flexibility while enabling partners to build services around the platform.
What are SentinelOne’s unique differentiators compared to other cybersecurity competitors in India?
SentinelOne was built AI-native, with the ability to protect, detect, investigate, respond and remediate at machine speed. We have also expanded from our endpoint heritage into cloud, identity, data and AI security.
Another important differentiator is the ability to bring these capabilities together rather than creating additional security silos. When endpoint, identity, cloud and other security telemetry can be connected, security teams gain greater context to understand what is happening and respond faster.
For Indian organisations, this combination of AI-native architecture, autonomous protection, unified visibility and openness is increasingly relevant as environments become more distributed and complex.
Ultimately, the focus is on reducing the time between detection, investigation and action while giving security teams greater visibility and control.
Which are the verticals where you witness maximum traction and what are their use cases?
We see strong relevance across BFSI and fintech, government, healthcare, manufacturing, telecom, critical infrastructure and GCCs, as well as other digitally intensive businesses.
What these organisations have in common is the scale and complexity of their technology environments. They are managing large numbers of endpoints and identities, increasingly distributed cloud environments and, in many cases, new AI workloads.
The use cases range from ransomware prevention and endpoint protection to identity and cloud security, SOC modernisation and securing AI adoption.
What customers increasingly want is not another point solution, but the ability to understand what is happening across their environment and respond before an incident becomes a business disruption.
As organisations continue to adopt cloud, AI and other distributed technologies, bringing security context together and acting quickly will become increasingly important.
