In an era where cyber threats are growing in velocity and sophistication, enterprises are grappling with AI-driven attacks, overwhelming alerts, and increasingly complex digital ecosystems. At the forefront of tackling these challenges is Sachin Jain, Senior Vice President – Technology & Business Development at Eventus Security. In this CISO Forum interview, Jain shares his perspective on redefining defense strategies for enterprises, the role of automation and AI in strengthening SOC operations, and why identity-centric Zero Trust architectures are vital. He also highlights the innovations shaping proactive cybersecurity and which industries will emerge as early adopters of next-generation security models.
Senior VP – Technology & BD
Eventus Security
CISO Forum: What do you see as the most pressing cybersecurity risks enterprises face today, and how should organizations rethink their defense strategies in light of increasingly sophisticated attacks?
Sachin Jain: Enterprises today face high-velocity, AI-enabled attacks across cloud, endpoint, and SaaS, compounded by alert overload and evolving social-engineering tactics. Defense must shift to risk-informed, AI-assisted detection, continuous monitoring, and outcome-focused responses that reduce noise and elevate only context-rich anomalies for action.
CISO Forum: Eventus Security operates in a crowded managed security services market. From a technology standpoint, how are you leveraging platforms, tools, and processes to differentiate your offerings?
Sachin Jain: At Eventus Security, we differentiate through advanced SOC-as-a-Service and Managed XDR platforms that blend automation, contextual analytics, and human expertise. Eventus integrates machine intelligence within MDR/SOC to process high-volume telemetry in near real-time, reducing false positives and accelerating containment. We focus on aligning security operations to business outcomes, not just technical metrics.
CISO Forum: AI-driven analytics and automation are reshaping security operations. How do you see these technologies transforming SOC effectiveness, and where do you draw the line between automation and human expertise?
Sachin Jain: AI and automation make SOCs smarter and enhance their effectiveness by handling repetitive tasks, such as triage, correlation, and anomaly detection, at scale. But cybersecurity remains a human-driven discipline—contextual analysis, decision-making, and client communication require judgment. Our philosophy: automate the repetitive tasks; reserve humans for contextual judgment, escalation, and communication with stakeholders.
CISO Forum: With IT and OT convergence accelerating, and Zero Trust becoming mainstream, how should enterprises approach building architectures that balance accessibility with stringent security?
Sachin Jain: As IT and OT converge, the right approach is an identity-centric, Zero Trust architecture that ensures “never trust, always verify” across every endpoint, workload, and user. By designing adaptive architectures and API-driven systems, enterprises can strike a balance between accessibility and uncompromising security.
CISO Forum: Next-generation security platforms promise integrated threat intelligence, faster response, and predictive defense. What innovations are you most excited about, and how close are we to truly proactive cybersecurity?
Sachin Jain: We’re on the cusp of platforms that integrate real-time threat intelligence, autonomous monitoring agents capable of taking tactical actions (e.g., session isolation), and predictive analytics that enable teams to shift from reactive to preventive postures—hardened through adversarial testing against AI-driven attacker techniques. This is bringing truly proactive cybersecurity within reach.
CISO Forum: Which industries do you expect will be the early adopters of advanced cybersecurity models over the next five years, and what lessons can other sectors learn from them?
Sachin Jain: Highly regulated and high-exposure sectors, such as financial services, healthcare, and cloud-native enterprises, will continue to lead the adoption of advanced, AI-enabled managed security with measurable outcomes. The takeaway for others: treat security as a business enabler, co-create services with providers, tune detections to business context, and measure value in reduced effort and faster, more precise incident handling.
