Authenticated does not mean appropriate.
A valid token proves who is calling. It does not stop a customer-support bot from calling an internal deletion API.
No SDKs · Out-of-model Security · Zero Telemetry
The model does the thinking.
Tenure does the policing.
Asking models to follow fragile system prompts is a losing battle.
Tenure observes agent behavior, automatically generates deterministic policies, and blocks unsafe actions before they execute.
Agent Intent “Send follow-up offer to Prospect”
Evaluating preconditions…
- Identity — Token authenticated, workload-id 9482 PASS
- Auth — CRM write permission PASS
- Precondition — “not currently a paying user” FAIL Evidence: CRM query returned ‘active’
Decision Block & escalate Policy #104
The problem 01 02 03
Your AI can act. Your infrastructure can't judge when it should.
AI is no longer trapped inside a chat bubble. Whether it's an internal copilot querying databases, a background agent updating a CRM, or a model executing tool calls, downstream business systems only check the API token. They are blind to whether the agent's actual intent is safe, authorized, or completely rogue.
Permission does not equal intent.
An agent may have CRM access without being allowed to update every customer in every situation.
Observability happens too late.
Logs will tell you how you got hacked. Enforcement stops it from happening.
Where Tenure fits
One gateway every agent request passes through.
Tenure intercepts agent activity at the runtime level. Every request is verified against active context and explicit policy: allowing, blocking, or escalating actions in under 15ms.
Chat client
IDE client
Interactive agent
Background agent
Private beta
Tenure
Runtime gateway
Every request gets eligible context. Every consequential action is checked before it executes.
Identity Every agent authenticates before it acts
Permissions & evidence Checked against what the task actually requires
Decision Allow, block, or escalate, logged every time
Models
Tools
APIs
Business Systems
Shared scoped memory
Shared memory without shared everything.
The memory lives in Tenure, not inside a single client. Tokens determine which context lanes are eligible for each agent or client, so shared state can travel across tools without collapsing every project, team, and user into one pool.
ORG Never send customer secrets to third-party tools. Absolute organizational rule
TEAM Platform APIs use structured error envelopes. Shared team practice
PROJECT Payments service migration targets PostgreSQL 18. Project-specific state
USER Prefer concise explanations with code first. Persona lane · not eligible for this token
Token policy agent:code-reviewer
Org contextAllowed
Team: platformAllowed
Project: paymentsAllowed
User personaOff
Eligible context 3 scoped beliefs Only active, relevant state can enter the request.
Structured Beliefs over Vector Dumps
Drop the loose conversation history. Tenure maps relations, entities, and open questions into precise, queryable state.
Cryptographic Isolation
Multi-tenant project and team isolation are structural. Agents only inherit user personas when explicitly allowed by the token.
Tamper-Proof Audit Trails
Every single belief retains its origin, scope, and lifecycle history. Know exactly why an agent knew something, and when it found out.
Memory precision
Deterministic memory injection. Zero prompt bloat.
Tenure retrieves scoped belief state precisely, outperforming standard vector strategies by up to 4x on standard agent benchmarks without adding latency.
89 benchmark cases
<15ms context injection
0.00 drift score
Built to be inspected
Nothing important should be invisible.
Tenure records the state it stores, the context it injects, and the decisions it makes. Stop reconstructing execution chains after a failure occurs. Track every state shift, context injection, and runtime block in real-time.
TYPE decision SCOPE project:payments
“Payments migration targets PostgreSQL 18.”
TOKEN agent:code-reviewer ELIGIBLE 3 beliefs
Injected project decision + team API practice.
POLICY #104 · v7 EVIDENCE active_account=true
Follow-up offer blocked before CRM action executed.
Get started
Secure and contextualize every AI request at runtime.
Run Tenure locally to manage context lanes and beliefs in your development environment, or spin up Team Mode to intercept, verify, and govern every outbound LLM call across your entire company.