Join us on 30 September as we explore full-stack observability, modern security, and how Elasticsearch acts as the context engine that grounds agentic AI in your enterprise data.
Across India this year, almost every conversation we have with technology leaders arrives at the same question.
Not which tool. Not which cloud. It comes out closer to this: if a regulator, a board member, or now an AI agent asks something of my systems tomorrow, can I answer with evidence rather than with a slide?
Elastic{ON} comes to Mumbai for the first time on 30 September 2026 at the JW Marriott Mumbai Sahar, and Ashnik will be there all day.
As the financial capital, Mumbai is where technology meets scale, governance, and business impact. Premier financial institutions, diversified conglomerates, and public sector organisations are all navigating the same shift.
Whether you are managing complex hybrid infrastructure or driving customer-facing innovation, one message is hard to avoid. Resilient, reliable, secure systems need full-stack observability, modern security, and the ability to retrieve the right context from your own data the moment someone, or something, asks for it.
That last requirement is the one that has changed most. Search used to be how people found information. It is now how AI agents ground their reasoning before they act, which means observability, security, and AI all rest on the same foundation.
Three forces are converging on Indian enterprises at once. Each is worth taking in turn.
Why full-stack observability matters now
The Reserve Bank of India has retired a sprawl of circulars in favour of consolidated Master Directions on IT governance, cybersecurity, technology risk, resilience, and assurance. This is not only a financial services story. SEBI and IRDAI have moved the same way, and regulators beyond India are converging on the same expectations.
The substance is consistent. The board owns technology and cyber risk. Continuity and recovery have to be formally tested rather than asserted. Evidence has to be produced on demand.
Siloed visibility no longer survives that. Institutions need a unified, end-to-end view across every layer, in real time.
Most organisations are not starting from zero, and that is the difficulty. Logs sit in one place, APM in another, metrics somewhere else again. Each piece works. Together they cannot answer one question from front end to database, which is exactly the shape of question you are now being asked.
Getting that foundation right is also the precondition for agentic AIOps. An agent can only triage an incident if it can retrieve the right logs, traces, and metrics, with the right context, in seconds.
Strengthening security and digital resilience
Cybersecurity remains a priority in every boardroom in India, and the regulatory picture is tightening in step. SEBI’s mandate for formal SOC audits is one example of a broader sweep across financial services and insurance, pushing organisations from asserting security to proving it. India’s mandatory six-hour incident reporting window turns detect and respond into a hard deadline.
Meeting a clock like that is a data problem before it is a security problem. Security and observability share a foundational requirement, which is clean, structured data at scale. Unifying SIEM, endpoint, and cloud security eliminates the silos between SOC analysts and DevOps engineers that cost you the first hour of every incident.
If you are accountable for that window, the question is not whether your tools can detect. It is whether your data is in a shape that lets you investigate, decide, and evidence in time.
Search and agentic AI, past the hype
The conversation dominating C-suites across India today is agentic AI. India’s scale and diversity place unique demands on these systems, with hundreds of millions of digitally connected citizens, dozens of languages, and urban and regional markets with very different needs.
With the Digital Personal Data Protection Act moving into phased compliance, every enterprise handling personal data faces real constraints around consent, breach notification, and data transfers. For agentic AI to be viable at scale here, it has to be not just capable but provably safe and auditable.
That shifts the conversation from what AI can do to whether your data infrastructure can support it responsibly. An agent is only as good as what it can retrieve. Feed it fragmented, stale data and you get a confident answer nobody can verify, which in a regulated environment is worse than no answer.
What is on the agenda
It is a full day for tech leaders, developers, SREs, DevSecOps teams and CXOs. What is on the agenda:
- Observability deep dives on unifying telemetry and modernising data platforms, including what deployment actually looks like under data localisation rules, whether that is Elastic Cloud in the Mumbai region, self-managed, or fully air-gapped.
- Security breakouts on agentic triage, Attack Discovery and autonomous forensic investigation, plus a hands-on Agentic SOC workshop.
- Search and AI sessions on using Elasticsearch as context infrastructure for AI agents, covering hybrid retrieval and vector search at enterprise scale.
- Hands-on labs, three of them running alongside the main stage, closing with a Capture the Flag. Bring a laptop.
- Customer and partner sessions, and the winners of the Forge the Future Hackathon announced on the main stage.
One suggestion. Bring a colleague from a different team. Most of the problems on this agenda live in the space between teams.
Meet the Ashnik team there
Ashnik has been building and running Elastic-based observability and search platforms for enterprises across India and Southeast Asia for 17+ years. Unifying telemetry across estates that grew organically. Getting deployment architecture right under localisation and audit requirements. And more recently, preparing those foundations for what agentic AI demands from enterprise data.
Their team will be there from registration through to the closing session. Bring the version of the problem you actually have, not the tidy one, and they will tell you plainly what closing it involves.
Come and join us in Mumbai
The convergence is what makes this moment different. The mandate creates urgency for observability. The threat landscape creates urgency for security. Agentic AI creates opportunity, but only for organisations with their data infrastructure in order.
All three rest on the same foundation. The ability to search your own data and hand the right context to whoever, or whatever, is asking for it.
That is what we want to spend the day on. Not theory, but practical paths forward, with the people who are already doing this work.
So come and spend 30 September with us. Bring your questions, bring a colleague, and bring the problem you have been putting off. We will see you at the JW Marriott Mumbai Sahar.
