Truvra sits between every agent in the ecosystem — buyer, seller, and the data, identity, measurement, and creative providers in between — independent of any single platform, making every action verifiable, authorized, governed, and provable. Identity vendors don't understand adtech. Verification vendors don't check the agent. Platforms build walls. Truvra closes the gap.
Control plane · define & verify
Every agent in a transaction gets a cryptographic, attestable identity bound to the party it acts for. Counterparties can confirm — in milliseconds — that an agent is genuine and authorized to be at the table, closing the "who is this agent?" gap that generic IAM can't answer for adtech.
An ontology-driven rule engine that encodes what agents are and what they may do: permitted actions, deal terms, budget ceilings, and brand-safety standards — expressed once and enforced everywhere, instead of re-implemented per platform.
Runtime · decide & gate
Authority isn't static. Signal evaluates the live context of each request — advertiser, inventory, audience, market conditions — and grants the right authority at the right moment, so governance adapts instead of blocking.
The enforcement gate. Agent actions pass through Runtime, which lets them proceed only within authorized pacing and budget bounds. Anything outside scope is held for review — not silently bought.
Assurance · record & show
A tamper-evident, queryable record of every authorized action — agent, authority, context, and outcome. The system of record that makes autonomous spend defensible to brands, finance, risk, and regulators.
Real-time observability across agents, policies, and outcomes. See what every agent did, why it was allowed, and under whose authority — in dashboards built for both operators and auditors.
Truvra is built to extend open agent standards like the Ad Context Protocol, and to work across DSPs, SSPs, and retail-media platforms — not to lock you into one stack. The trust, authority, and audit trail travel with the agent, wherever it transacts.
Beneath the modules, Truvra runs on a knowledge graph and ontology that make the meaning of every agent, audience, deal, and signal machine-readable. As real-time bidding gives way to real-time reasoning, that's what lets governance track semantic alignment between agents — then certify it independently, and, as a value-add, power a closed learning loop.
Verify identity, scope authority, and gate every agent action in real time.
A shared ontology and knowledge graph keep every agent's meaning of audiences, deals, and brand standards consistent.
Independently certify agents and transactions against policy — neutral proof others can trust.
A graph-driven feedback loop turns every governed decision into signal — improving over time.
Truvra's whole job is trust — so the platform is built to enterprise security and compliance expectations from day one.
Cryptographic agent attestation and counterparty verification, designed to industry standards.
Tamper-evident records of every decision, queryable for finance, risk, and regulators.
Built with frameworks like the EU AI Act and enterprise governance requirements in mind.
Truvra is pre-launch; specific certifications and capabilities are in development. Roadmap details shared with design partners.
We're building in the open with design partners. Here's the honest sequence.
Agent identity, scoped authority, and the append-only audit trail — in design-partner pilots.
The ontology-driven rule engine and independent certification of agents and transactions.
The closed, graph-driven feedback loop — the value-add layer, once the charter is proven.
Sequencing shown for direction; not a commitment on timing. Details shared with design partners.
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