MANDAR PATILFounding Member and Executive Vice President, Cyble
“There was a time when cybersecurity meant building higher walls. Today, Cyble is betting that the future belongs to companies that can think faster than the threat itself.” |
AI AS THE NEW SECURITY PERIMETER
Ask Mandar Patil what has changed most about the cybersecurity landscape in the last two years, and he doesn’t hesitate. “The threats have become smarter. And the only way to stay ahead of a smarter threat is to build smarter security.” That conviction sits at the heart of everything Cyble is doing in FY 2026-27.
Cyble has made a deliberate shift — away from being seen purely as a threat intelligence company, toward becoming a full-spectrum AI-powered cybersecurity platform. It is a distinction Mandar is passionate about. “Intelligence without action is just noise. What our customers need today is a platform that not only sees the threat coming but is already moving to neutralize it. That is what AI enables us to do.”
The platform now runs deep learning models and behavioral analytics that go beyond traditional indicators of compromise — building predictive risk profiles that help organizations understand not just what happened, but what is likely to happen next.
GENERATIVE AI MEETS AUTONOMOUS SECURITY
One of the more striking shifts inside Cyble has been the integration of generative AI into day-to-day security operations. The company has built LLM-powered co-pilots that work alongside security analysts — summarizing threat data, generating incident reports, and simulating potential attack paths in real time.
“Think about a SOC analyst at two in the morning, staring at thousands of alerts. The cognitive load is enormous. Our AI co-pilot cuts through that noise and gives them what they actually need — clear context, prioritized action, and the confidence to move fast,” says Mandar. “We are not replacing the analyst. We are making sure they never have to fight alone.”
Beyond analyst support, Cyble’s autonomous capabilities now include AI-driven attack surface management and self-adaptive detection models that update continuously as new threat patterns emerge — so customers are never defending against a threat that already passed.
INDIA’S AI-POWERED CYBER RESILIENCE
India occupies a special place in Cyble’s thinking. With one of the fastest-growing digital economies in the world, the country also carries one of the fastest-expanding cyber risk surfaces — across BFSI, healthcare, critical infrastructure, and a booming SaaS sector that is increasingly in the crosshairs of sophisticated adversaries.
“India is not just a market for us. It is a responsibility,” Mandar says plainly. “The threats targeting Indian enterprises and government institutions are real, they are growing, and they are increasingly state-sponsored or financially motivated. We have built AI models specifically calibrated for India’s threat environment — factoring in regional adversaries, local compliance mandates like DPDP and SEBI guidelines, and the very specific vulnerabilities that come with rapid digital adoption.”
Cyble’s India teams work directly with government bodies, CERTs, and private sector CISOs — not just selling a product, but helping shape how cyber resilience is understood and practiced at a national level.
AI-DRIVEN RISK, COMPLIANCE AND BUSINESS ALIGNMENT
One of the more persistent frustrations Mandar hears from customers is the gap between what security teams know and what the boardroom understands. “A CISO can have a perfect grasp of the threat landscape and still struggle to get budget approved — because they cannot translate risk into the language the CFO or CEO speaks. We built our AI risk quantification layer specifically to solve that problem.”
Cyble’s platform now maps an organization’s threat posture directly against business impact — assigning financial exposure values to vulnerabilities and regulatory gaps, and presenting them in dashboards that resonate with executive decision-makers rather than just security practitioners. The compliance intelligence engine adds another layer, tracking regulatory changes across jurisdictions and flagging gaps before auditors ever arrive.
INNOVATING WITH INTENT
Cyble’s R&D roadmap for FY 2026-27 is focused on three areas — agentic AI workflows that can take autonomous remediation actions, multimodal solutions that processes signals across text, image, and code simultaneously, and responsible AI governance frameworks that keep every deployed model explainable and auditable.
That last point matters deeply to Mandar. “There is a real risk in this industry of deploying AI that nobody fully understands — including the company that built it. We refuse to do that. Every model we ship has to be something we can stand behind, explain to a regulator, and defend to a customer.” He pauses, then adds: “At the end of the day, cybersecurity is a trust business. Our customers are trusting us with their most sensitive data, their infrastructure, their reputation. The AI we build has to be worthy of that trust. That is the standard we hold ourselves to — and honestly, it is the only standard that matters.”
