Tech Mahindra and Cisco partner on a joint security offering, Cyber Resilience Fabric, a platform created to help enterprises improve threat detection, risk prioritisation, and response speed in complex security environments.
The announcement positions the solution for CISOs, CIOs, and CTOs who are dealing with larger threat surfaces, more alert noise, and stricter governance demands.
Shannon Leininger, SVP, Global Partner Sales & Splunk Channel Chief at Cisco said, “The convergence of data, AI, and security is non-negotiable for modern enterprises. By integrating Splunk’s and Tech Mahindra’s unique capabilities, we are accelerating our customers’ ability to prioritize effectively and automate their defense, delivering real, measurable digital resilience.”
About the ‘Cyber Resilience Fabric’ platform
Cyber Resilience Fabric combines Cisco’s Splunk Enterprise Security with Tech Mahindra’s proprietary Risk Scoring Platform. According to the companies, the goal is to bring together real-time security data, AI-assisted analytics, and contextual risk intelligence in one operating view. The platform is intended to improve triage accuracy, decrease operational noise, and give security teams a consolidated view across security, operational, and risk signals.
Cisco’s security-resilience materials describe the wider problem in similar terms: organizations need a stronger security foundation, and the vendor’s assessment tool is built to help prioritize capabilities and investments for a suitable cybersecurity framework.
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Why this matters now
Tech Mahindra says traditional security operations are being overwhelmed by the scale as well as the sophistication of online threats, which often leads to delayed detection and fragmented response. The new platform is meant to shift teams away from reactive alert handling and toward risk-led decision-making.
Saket Singh, SVP & Business Head – Digital Core Services (Cloud, Infrastructure, Network and Cyber Security Services) at Tech Mahindra, said, “In today’s hyper-connected enterprise landscape, the growing scale and sophistication of cyber threats are overwhelming traditional security operations, often leading to delayed detection and fragmented response. Through our partnership with Cisco, we are addressing this challenge by combining contextual risk intelligence with AI-driven analytics to help enterprises move from reactive alert management to proactive, risk-led decisioning. Cyber Resilience Fabric will enable faster detection, prioritized response, and stronger operational resilience.”
That context matters because cyber resilience has become a wider business issue, not only a technical one. The platform is explicitly aimed at helping enterprises maintain governance alignment, regulatory compliance, and uninterrupted operations. In practical terms, that puts it closer to a control-and-decision system than a pure detection tool.
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Splunk Enterprise Security sits in that world, but Cisco now describes it as a unified threat detection, investigation, and response platform that brings together SIEM, SOAR, UEBA, and AI capabilities. Cyber Resilience Fabric appears to add a business-risk layer on top, employing Tech Mahindra’s scoring logic to decide which events deserve priority.
What it means for enterprises
For large organizations, the value proposition is simpler than the branding suggests. If the platform works as described, it should help security teams cut through low-value alerts, improve escalation quality, and spend more time on incidents that carry real operational or regulatory risk. Tech Mahindra says the platform has been designed to improve detection, speed up response, and support resilient recovery of business-critical services.
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The larger implication is that security vendors and services firms are moving toward “decision intelligence” in cybersecurity. The market is no longer only selling visibility; it is selling prioritization, because visibility without context often creates more work rather than less. Cyber Resilience Fabric is best understood in that frame.



















