OmniTrust Launches Trust Lifecycle Management Platform to Secure AI, Devices, and Cloud Identities End-to-End

A new cybersecurity entrant is betting that the future of enterprise defense hinges on something many organizations still lack. A unified way to manage trust across devices, cloud systems, and increasingly autonomous AI agents.

OmniTrust, formerly known as INTEGRITY Security Services, has officially launched with a platform designed to tackle that problem head on. The company’s Trust Lifecycle Management platform aims to unify fragmented security controls into a continuous system that governs identities and cryptographic trust from silicon to AI.

The move reflects a broader shift in cybersecurity priorities. As enterprises accelerate digital transformation and deploy AI-driven systems, traditional security models built around isolated tools and static controls are struggling to keep pace. Trust, once anchored to devices or certificates, now extends across complex ecosystems of machines, services, and algorithms.

"Trust is no longer confined to a single device or a static certificate," said David Sequino, Co-Founder and CEO of OmniTrust. "It now spans keys, secrets, supply chains and increasingly autonomous AI agents. The market is tired of counting certificates and managing siloed tools. We are launching to provide the visibility and crypto-agility required for the AI era."

From Embedded Security Roots to Enterprise Scale

OmniTrust’s foundation traces back to its origins within Green Hills Software, where its team developed security technologies for industries where system failure carries significant risk, including aerospace, medical devices, and automotive systems. Those environments demand strict control over firmware integrity, cryptographic systems, and device identity.

After spinning out as an independent company in late 2024, OmniTrust has shifted its focus toward enterprise environments, where similar principles are increasingly needed but rarely implemented cohesively.

The company argues that modern enterprises lack a unified map of trust. Instead, identity systems, certificate management tools, and device security controls often operate independently, creating blind spots that attackers can exploit.

A Unified Approach to Identity and Machine Trust

At the core of OmniTrust’s platform is the concept of a continuous trust lifecycle. Rather than securing isolated checkpoints, the system is designed to manage identities and cryptographic assets across their entire lifespan.

The platform is built around three primary components.

Device Lifecycle Management focuses on securing hardware from the moment of provisioning. This includes identity injection at the silicon level and ensuring firmware integrity throughout the device’s operation.

Identity Lifecycle Management governs certificates, keys, and secrets across hybrid and multi-cloud environments. The platform avoids traditional usage-based pricing models that can limit automation, a point the company positions as critical for scaling machine identities.

TrustAI introduces a framework aimed at managing AI systems as first-class security entities. It provides identity, authorization, and monitoring capabilities for autonomous models and agents, an area that has rapidly become a new frontier for security teams.

Addressing the Rise of Non-Human Identities

One of the most significant shifts in enterprise security is the explosion of non-human identities. Service accounts, APIs, bots, and machine-to-machine connections now outnumber human users in many environments.

OmniTrust’s platform is designed to create what it describes as a continuous thread of trust across the full technology stack, linking hardware roots of trust to cloud workloads and AI-driven systems. This approach attempts to close gaps that emerge when identities are created and managed in isolation.

The company’s model connects each layer in sequence, from silicon and firmware to devices, cloud services, non-human identities, and ultimately AI agents. By applying lifecycle governance at every stage, OmniTrust aims to reduce the risk of unauthorized access, credential misuse, and supply chain compromise.

Preparing for Regulation and Post-Quantum Threats

The launch also comes as regulatory pressure increases globally. Frameworks such as Europe’s NIS2 Directive, the Digital Operational Resilience Act, and the Cyber Resilience Act are pushing organizations to demonstrate stronger control over their security posture and supply chains.

OmniTrust positions its platform as a way to provide verifiable proof of trust across systems, a capability that may become essential for compliance.

The company is also emphasizing readiness for post-quantum cryptography. As advances in quantum computing threaten to undermine traditional encryption methods, organizations are beginning to evaluate how to transition cryptographic systems without disrupting operations.

By anchoring trust in hardware and extending it through software and AI systems, OmniTrust is attempting to build a foundation that can evolve alongside both regulatory demands and emerging threats.

A Shift Toward Continuous Trust

OmniTrust’s launch signals a growing recognition that cybersecurity is no longer just about protecting endpoints or monitoring networks. It is about managing trust as a continuous, verifiable process across increasingly autonomous and interconnected systems.

As AI agents begin to make decisions, interact with data, and execute actions without human intervention, the need for identity, accountability, and control at every layer becomes more urgent.