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LTM Launches BlueVerse RightLogic to Help Enterprises Tackle AI Era Cyber Risks
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. 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. "AI-driven threats are autonomous, scalable and continuous, and they demand a fundamentally different approach to cybersecurity. With BlueVerse RightLogic, we enable organizations to quantify exposure, prioritize action and build a defensible security posture that supports safe and scalable AI adoption," said Krishnan Iyer, Chief Growth Officer, LTM. Delivered through a structured 4 to 6 week engagement, BlueVerse RightLogic provides rapid diagnostics, deep domain assessments, and a board-ready risk summary, followed by a prioritized remediation roadmap. The model extends into execution through a partner-led ecosystem that drives fixes across infrastructure, applications and open-source dependencies, enabling faster response cycles, improved risk visibility, and a governed pathway for secure AI adoption at scale.
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Launches BlueVerseTM RightLogic to Address Cyber Risk in AI Era
New assessment and risk assurance framework helps enterprises gain unified visibility, prioritise remediation and scale AI securely LTM has launched BlueVerseTM 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. "AI-driven threats are autonomous, scalable and continuous, and they demand a fundamentally different approach to cybersecurity. With BlueVerse RightLogic, we enable organizations to quantify exposure, prioritize action and build a defensible security posture that supports safe and scalable AI adoption," said Krishnan Iyer, Chief Growth Officer, LTM. Delivered through a structured 4 to 6 week engagement, BlueVerse RightLogic provides rapid diagnostics, deep domain assessments, and a board-ready risk summary, followed by a prioritized remediation roadmap. The model extends into execution through a partner-led ecosystem that drives fixes across infrastructure, applications and open-source dependencies, enabling faster response cycles, improved risk visibility, and a governed pathway for secure AI adoption at scale.
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LTM unveiled BlueVerse RightLogic, a cybersecurity assessment and risk assurance framework designed to address AI era cyber risks. The framework helps enterprises identify and remediate cyber exposure through a 4 to 6 week engagement, providing unified visibility and continuous risk management as organizations accelerate AI adoption.
LTM has launched BlueVerse RightLogic, a cybersecurity assessment and risk assurance framework built to help enterprises tackle AI-era cyber risks as they accelerate AI adoption
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. The framework arrives at a critical moment when AI is now capable of autonomously identifying and exploiting vulnerabilities, transforming cyber risk from a technology concern to a board-level priority. Enterprises are struggling to maintain visibility and respond at the speed of emerging autonomous threats, while exposure across infrastructure, applications, and supply chains continues to expand.
Source: DT
BlueVerse RightLogic addresses the visibility gap by providing a unified view of enterprise exposure and enabling a fundamental shift from fragmented, point-in-time assessments to continuous 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 its core lies an innovative cybersecurity assessment model that covers software supply chain risk, legacy systems, network exposure, identity and access controls, AI-specific risks, and governance readiness. This comprehensive approach integrates an outside-in view of adversarial exposure assessment with an inside-out evaluation of enterprise readiness across people, process, and technology, all supported by a dedicated AI-specific risk lens.
Delivered through a structured 4 to 6 week engagement, BlueVerse RightLogic provides rapid diagnostics, deep domain assessments, and board-ready risk summaries, followed by a prioritized remediation roadmap
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. "AI-driven threats are autonomous, scalable and continuous, and they demand a fundamentally different approach to cybersecurity. With BlueVerse RightLogic, we enable organizations to quantify exposure, prioritize action and build a defensible security posture that supports safe and scalable AI adoption," said Krishnan Iyer, Chief Growth Officer, LTM. The model extends into execution through a partner ecosystem that drives fixes across infrastructure, applications, and open-source dependencies, enabling faster response cycles and improved risk visibility.Related Stories
The launch signals a shift in how organizations must manage cyber risks as they adopt AI at scale. Traditional security frameworks were built for static, periodic assessments, but AI-driven threats operate continuously and adapt in real-time. Supply chain vulnerabilities have become increasingly complex, with open-source dependencies creating hidden exposure points that adversaries can exploit. BlueVerse RightLogic's business-aligned approach helps enterprises move beyond reactive security measures toward a governed pathway for secure AI adoption at scale. For organizations accelerating their AI initiatives, this framework offers a structured method to quantify exposure and build defensible security postures that support innovation without compromising safety.
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