MarTech Pulse Exclusive Interview with Vibhuti R Sinha Chief Product Officer, Saviynt
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Mr. Vibhuti R Sinha, a leader at Saviynt, explains how AI-driven onboarding and unified identity governance reshape enterprise security in this insightful chat with MarTech Pulse.
Saviynt just unveiled agentic AI onboarding and extended ISPM to cover AI agents and non-human identities. What makes these innovations unique?
Integrations and onboarding are the achilles heel of an identity program: expensive, slow and with poor security posture. As a result more than 80% of apps never get integrated to identity platforms and remain disconnected. We are solving this and eliminating the concept of disconnected apps from identity platforms. With the help of agentic AI we are reducing the costs of onboarding connected and disconnected apps by 10x and making it a reality to onboard each and every enterprise app to identity platforms.
With the rise of NHI andAI agents, organizations are struggling to secure protection as they lack visibility and the means to discover them. And what you cannot see, you cannot protect. With Saviynt’s ISPM, organizations are not only discovering these new identities but also unlocking the deep connections between human, non human and AI Agents. And that’s feasible only because of a single unified platform that provides the same.
Ponemon found 49% of organizations don’t track disconnected apps. How does Saviynt solve this visibility challenge?
Saviynt analyzes access and usage patterns across Identity Providers, CMDBs, Cloud Access Security Brokers and Network Security Providers to detect sanctioned and unsanctioned disconnected apps. You cannot protect what you cannot see and Saviynt unlocks this first by discovering the app sprawl and then further empowering organizations to onboard and govern them.
You emphasize embedding AI natively into identity security. How does this differ from traditional AI overlays?
Unlike traditional AI overlays that sit on top of identity systems and simply analyze logs or make suggestions, Saviynt embeds AI directly into the identity control plane. This means AI participates in the core lifecycle—governing access decisions, onboarding and integrations, design time and run time policy evaluation, privilege elevation, and access remediations in real time. With full context across entitlements, lineage, usage, and risk, it empowers organizations with autonomous actions rather than just recommendations. Humans stay informed, but AI accelerates identity security and governance. In short, overlays observe, while Saviynt’s native AI secures and governs—delivering faster onboarding, reduced risk, and continuous compliance at scale. It further allows organizations to bring AI closer to your identity data enabling a conversational experience. Last but not the least, natively embedding AI also enables the system to clean and enrich the identity data which maximizes the platform’s intelligence.
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What are the top three identity security risks CISOs should prioritize when adopting AI agents in 2026?
The top three identity security risks CISOs must prioritize when adopting AI agents in 2026 center on identity, privilege, and context integrity. First, most organizations lack a framework to assign unique identity, credentialing, and attribution to AI agents, creating gaps in accountability and auditability. Second, agents often inherit or delegate excessive, unbounded privileges, enabling rapid lateral movement or toxic access combinations at machine speed. Third, because AI agents make decisions based on contextual signals, attackers can poison prompts, metadata, or policy objects to manipulate outcomes. Together, these risks create blind spots in provenance, expand the blast radius of compromise, and make malicious actions harder to detect or investigate. CISOs must treat AI agents as first-class identities, enforce lifecycle governance, restrict agent-to-agent access, and safeguard contextual inputs to maintain trust and control.
Industry Recognition: Saviynt was recently named a Challenger in Gartner’s 2025 Magic Quadrant for PAM and Market Leader by Cyber Defense Magazine. How does this validation reflect your vision for converging PAM into a unified identity platform?
Saviynt being named a Challenger in the 2025 Gartner Magic Quadrant for PAM and a Market Leader by Cyber Defense Magazine reinforces our belief that privileged access can no longer live as a standalone silo. Traditional PAM has focused narrowly on infrastructure workloads with vaulting and session management, but modern enterprises need a unified identity platform that governs every identity and app for humans, machines, and now AI agents—across the full lifecycle. Our strategy brings PAM, IGA, and cloud entitlements together with contextual risk, continuous posture management, and policy automation to eliminate blind spots created by fragmented tooling. This recognition validates our vision that the future of PAM is identity-first, cloud-smart, and AI-driven—one control plane, shared context, faster onboarding, and stronger governance. It’s a strong signal that the market is shifting toward convergence, and Saviynt is leading that revolution.
What strategic recommendations would you give IT leaders planning their identity security roadmap for 2026-2027?
As IT leaders plan their identity security roadmap for 2026–2027, they must elevate identity to the enterprise-wide security control plane, ensuring consistent authorization and policy enforcement across hybrid and multi-cloud environments. The rapid rise of AI agents and machine identities demands full lifecycle governance—credentialing, delegated authorization, and continuous posture monitoring—on par with humans. To eliminate silos and entitlement blind spots, organizations should converge IGA, PAM, External Identity Governance, Posture Management and CIEM into a unified platform with shared context and risk scoring. Manual identity operations will not scale, so leaders should invest in AI-driven integration and onboarding of applications, identify toxic access, right-size privilege, and automate remediation while preserving human oversight. Static roles should give way to context-aware, just-in-time access to reduce standing privilege and breach impact. Continuous posture assessment—integrating behavioral, workload, endpoint, and data signals—will become essential for proactive response. Leaders must also accelerate onboarding of disconnected and custom apps to eliminate shadow access risk. Finally, strong identity data hygiene and attribution are foundational to trustworthy governance, auditability, and AI-driven decisioning.
What’s the biggest misconception enterprise leaders have about achieving unified identity security?
The biggest misconception enterprise leaders have about achieving unified identity security is believing that simply integrating multiple tools—IGA, PAM, ISPM, CIEM, SSO—creates a unified program. In reality, stitching products together rarely delivers shared context, consistent policies, or end-to-end visibility. Instead, it increases operational complexity and leaves gaps in governance, especially across cloud, machine, and AI-driven identities. True unification requires treatingidentity as the control plane—centralizing lifecycle management, risk, policy, and authorization across every identity, privilege, resource, and environment. It’s not about tool aggregation; it’s about converging identity intelligence, context, and decisioning into a single fabric that continuously governs access. The misconception is that “connected” equals “unified”—but only a common identity model and policy engine can deliver real security and agility.
What single action should IT leaders take immediately to strengthen their identity security posture against AI-driven threats?
The single most important action IT leaders should take immediately is to establish authoritative identity inventory and continuous posture management across all identities—human, machine, and emerging AI agents. AI-driven threats exploit blind spots: unmanaged accounts, excessive privileges, orphaned access, and poorly governed service or agent credentials. You can’t defend what you don’t know or can’t continuously evaluate. Building a unified, real-time identity inventory—supported by automated discovery, baselining, and risk scoring—creates the foundation for least privilege, just-in-time access, stronger policy enforcement, and faster incident response. Without this baseline, every other control is guesswork.
Thank you, Mr. Vibhuti, for taking the time to share your insights with us.
