Untangle your permissions.
Replace scattered permission checks with one policy layer — enforced beside your application, audited from one place.
ZERO NETWORK HOPS · SUB-10MS DESIGN TARGET
TypeScript 
Java 
Ruby 
Rust 
Go 
Elixir REST Kubernetes OPENTELEMETRY Authorize locally. Govern centrally.
Today authorization lives in scattered ifs, or a central service a network hop away. ZStrike runs it beside your code, governed in one place.
Sub-10ms decisions
Zero network hops: your service calls a sidecar on localhost, policies already in memory — built to answer allow or deny in under 10ms.
Zero single points of failure
Distributed sidecars keep deciding on last-synced policy when the control plane disconnects — no remote dependency in the request path.
Context-aware access
Decisions use real-time application state — user attributes, resource tags, environment — for every caller, human or AI agent, down to the row, field, and action.
Agents and automations get hard limits, exactly like employees. When the model goes off-script, the guardrail doesn’t.
Transfers over $1M require a second approver. The rule holds in every system that can move money — not just the one app that remembered to check.
Charts open only to the care team. Snooping — the most common privacy violation in healthcare — is stopped at the source, not found in next quarter’s audit.
Access opens only on customer consent and closes itself in 30 minutes. Your team helps fast — with no standing access to anyone’s data.
In an emergency, care comes first: access opens instantly — and the case is automatically flagged for after-the-fact review. Safe and compliant.
One change in HR shuts off access in every system at once. The quiet weeks around a departure are the riskiest — nothing depends on someone remembering.
Agents and automations get hard limits, exactly like employees. When the model goes off-script, the guardrail doesn’t.
Enforce anywhere. One call.
Drop the SDK into any service. Every check is a single local call — allow or deny, with the reason.
ZSTRIKE AUTHORIZES ZSTRIKE — EVERY ADMIN ACTION PASSES THROUGH THE SAME ENGINE WE SHIP
// service.ts — enforce anywhere in your stack const decision = await zstrike.check({ principal: 'User::"john.doe"', action: 'Action::"refund.approve"', resource: 'Order::"ord_8841"', context: { amount: 4200 }, }); if (!decision.allowed) throw new Forbidden(decision.reason); // → DENY · exceeds approval_limit (2500)
Questions, answered.
Does ZStrike replace my identity provider?
No — ZStrike governs authorization, not authentication. Your IdP still answers who someone is; ZStrike decides what they can do. Identities, groups, and attributes sync in from the provider you already run.
How is this different from roles in my database?
Roles tables answer "who has a role" — not "can this user take this action on this resource right now." ZStrike evaluates relationships, attributes, and context in one place, so permission logic stays out of your queries.
Where does authorization data live?
ZStrike stores only the relationship metadata you sync — never row contents. Deployments are region-pinned, and self-hosted engines are available on enterprise plans.
Can it govern AI agents and automations?
Yes — agents get scoped identities with hard limits (spending caps, read-only scopes, no self-escalation), checked on every call and logged like any employee. Policies themselves can be drafted from plain English by AI, then checked against the description before they save.
Can I start with one service?
Yes — that’s the usual path. Put the sidecar beside one service, model its checks in Cedar, and expand service by service. Nothing requires a big-bang migration.
Do I need Kubernetes?
No. The decision engine is a container that runs beside your service — a sidecar is the common shape, but any environment that can run a container next to your app works.
How do I migrate existing permission checks?
One check at a time. Model the rule in Cedar, add the SDK call beside the existing logic, and delete the old branch once the two agree. Start with your gnarliest check — that’s the one that pays for the move.
How long does an initial integration take?
The mechanical part is small: deploy the sidecar, add one SDK call. The real work is modeling your policies, and that depends on how tangled they are today — scoping it is exactly what an engineering briefing is for.
What happens if ZStrike is unavailable?
Decisions don’t stop. The sidecar keeps answering from last-synced policy and entity state, because the control plane is never in the request path. Fail modes are configurable per resource.
Free while we build together.
The cloud is in beta — free now, and beta teams keep early-access pricing at launch. BECOME A DESIGN PARTNER →
Managed control plane. Early-access pricing locked in when we launch.
For teams with compliance and scale requirements.
Bring us your gnarliest permission check.
Thirty minutes with the engineers building ZStrike: bring one or two real cases, and we model them in Cedar, live.
Bring us a permission check.
Tell us what you're trying to authorize. We read every message and reply within one business day.
OR EMAIL HELLO@ZSTRIKEHQ.COM