Trust Is Enforced at Runtime - Not at Login
Traditional security and privacy controls were built for humans logging into applications. Identity systems, access controls, and DLP policies assume static users, long-lived credentials, and predictable data
Machines and AI agents don't work that way.
A connected device or sensor never logs in; it's always on, continuously communicating, with no natural moment to check its credentials. An AI agent goes further: it acts autonomously, chains tools dynamically, reuses data across contexts, and operates continuously making access, intent, and data use inseparable. An agent can be fully authorized, trigger no DLP alert, and still misuse data by combining, inferring, or propagating it beyond its intended purpose.
Operant enforces trust at runtime, at the point of connection governing not just what's allowed to connect, but what it is allowed to do with data, in what context, and for what purpose.
The Operant Trust Fabric
Operant enforces runtime trust through a protocol-gapped Trust Fabric that sits between machines, AI agents, and the systems they connect to.
Instead of embedding logic into agents, devices, or application protocols, Operant enforces policy at the communication boundary where requests are made, data flows, and connections occur. This allows Operant to govern identity, access, and how data is used per connection without trusting a device's firmware or an agent's internal logic.
The Trust Fabric acts as a runtime control plane for every machine and AI connection, continuously evaluating each interaction against centrally defined trust rules before allowing it to proceed.
Identity and Authorization at Machine Speed
Traditional IAM authenticates humans at login and grants standing permissions. That model breaks down for machines and AI agents alike; devices that stay connected around the clock, and agents that act continuously, invoke tools dynamically, and operate across systems.
Operant treats every participant: machines, AI agents, tools, APIs, and data services as a first-class identity. Each connection is evaluated in real time against centrally defined trust rules, and if permitted, Operant issues a short-lived, least-privilege credential scoped to that specific connection.
There are no standing privileges and no long-lived secrets inside devices or agents. Trust is verifed not assumed.
Privacy Is Enforced Where Data Flows
Privacy failures in AI systems rarely come from breaches. Instead, they come from authorized misuse, inference, and unintended propagation of sensitive data.
Operant enforces privacy controls in the data path, not in prompts or agent logic. For AI systems, sensitive data flows are routed through policy-driven sanitization and transformation components before reaching an agent or downstream system.
This prevents data retrieved in one context from being reused in another and ensures that privacy policies are enforced technically, not just documented.
Proof of Enforcement
Machine and AI systems alike need more than logs. They need evidence of how decisions were made and how data was used
Every policy decision, credential issuance, and connection event in Operant generates a signed, tamper-evident record at the network layer. This creates an immutable evidence stream that supports audit, forensics, compliance, and post-incident analysis.
Protocol-Gapped Enforcement, Enabled by DeftT
Operant enforces trust without modifying application protocols, agent frameworks, or model behavior. Built on DeftT (Defined-Trust Transport), a data-centric protocol rooted in Named Data Networking (NDN) research, a networking architecture designed for secure, machine-to-machine systems.
DeftT allows Operant to enforce identity, authorization, and data governance at the communication layer itself, as the control plane governing every connection rather than inside agents, devices, or applications. This creates a protocol-gapped trust fabric where enforcement is external, non-bypassable, and independent of how a device or AI agent is implemented or how it behaves.
Because trust lives at the communication boundary, not inside the endpoint, Operant can evaluate and authorize each connection at runtime, issue scoped credentials, govern data flows, and generate signed evidence all without embedding logic into models, prompts, devices, or APIs.
*For OT and industrial systems protocols, DeftT also runs natively as the transport layer itself see OT & Industrial Solutions for that architecture
Multi-Dimensional Trust
Every interaction is verified across identity, context, policy, and scope. Trust is continuously re-established
Cross-Environment
Whether on-prem, in the cloud, or at the edge, trust policies follow the data removing the gaps at system boundaries
Invisible by Design
Our trust fabric operates as a protocol-gapped overlay, making it nearly impossible to detect, target, or disrupt
Blocks Session Hijacking
Updates and Insights from the Operant Team
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