LTM surges on launching BlueVerse RightLogic to address cyber risk
LTM is currently trading at Rs. 3856.10, up by 124.85 points or 3.43% from its previous closing of Rs. 3728.25 on the BSE.
The scrip opened at Rs. 3740.00 and has touched a high and low of Rs. 3872.00 and Rs. 3740.00 respectively. So far 26551 shares were traded on the counter.
The BSE group 'A' stock of face value Rs. 1 has touched a 52 week high of Rs. 6430.00 on 19-Jan-2026 and a 52 week low of Rs. 3529.60 on 30-Jun-2026.
Last one week high and low of the scrip stood at Rs. 3,872.00 and Rs. 3,538.00 respectively. The current market cap of the company is Rs. 1,14,098.36 crore.
The promoters holding in the company stood at 68.52%, while Institutions and Non-Institutions held 23.64% and 7.84% respectively.
LTM has launched BlueVerse RightLogic, a cybersecurity assessment and risk assurance framework designed to help enterprises identify, assess and remediate cyber exposure as they accelerate AI adoption. AI is now capable of autonomously identifying and exploiting vulnerabilities, while exposure across infrastructure, applications and supply chains continue to expand. This has elevated cyber risk from a technology concern to a board level priority, with enterprises struggling to maintain visibility and respond at the speed of emerging threats.
BlueVerse RightLogic addresses this gap by providing a unified, business-aligned view of enterprise exposure and enabling a shift from fragmented, point-in-time assessments to continuous, evidence-led risk management. The framework combines an end-to-end AI and cyber exposure assessment engine with a structured execution model that spans from assessment to remediation.
At the core of the offering is an innovative, robust cybersecurity assessment model spanning software supply chain risk, legacy systems, network exposure, identity and access controls, AI-specific risks and governance readiness. The framework integrates an outside-in view of adversarial exposure with an inside-out assessment of enterprise readiness across people, process and technology, supported by a dedicated AI-specific risk lens.
