Head-to-head · updated 13 September 2026

DataShield vs Permit.io: who decides the tool call, and who can prove it later?

Permit.io sells fine-grained authorization as a service. RBAC, ABAC and ReBAC sit behind one check API. They add a local policy decision point. It runs OPA or Cedar on your own system. They add a CLI, Terraform, GitOps too. Plus a free tier you can start on today. Maybe your permissions logic is spaghetti in your app code. If so, they untangle it faster than we do. That is a real product with real users. We are not going to pretend otherwise.

We sell something different. DataShield is a built agent control plane. It issues the agent's identity. It holds the credentials the agent connects with. It hands the agent tokenized data over MCP. It checks the agent's access on each checked tool call. It seals each decision into a hash chain. You can verify that chain without trusting us. Permit.io answers "is this allowed?" DataShield answers that too. Then it goes further. What did the agent touch? Can you prove the log is intact?

DataShield vs Permit.io at a glanceEight questions regulated buyers ask us. Scored from each vendor's public documentation. DataShield vs Permit.io at a glance Eight questions regulated buyers ask us. Scored from each vendor's public documentation. DataShield Permit.io Tamper-evident audit chain you can verify Runtime authorization on each tool call Break-glass access for agents GDPR erasure that keeps the chain valid Tokenized data plane for agent queries Credential vault for agent connections Policy models: RBAC, ABAC and ReBAC Published pricing and a free tier shipped partial / roadmap not offered Sources at the bottom of this page.

The short version

Pick DataShield when

  • One day you will have to prove an agent's log was not edited. Our chain answers that with math. Their own audit post names the goal decision provenance. It stops short of tamper evidence. Run the verifier.
  • The agent needs data, not just a yes or no. We tokenize datasets at ingest. Agents query tokenized data over MCP. Detokenization is a privileged, audited move. A check API does not carry data.
  • You need the agent's credentials held somewhere safe. Connection Vault stores them per subject. It spans eight strategies, including Snowflake keypair JWT. How Auth does it.
  • You want break-glass and GDPR crypto-shred in one product. Both should sit next to the policy decision. Don't stitch them together from three vendors.

Pick Permit.io when

  • Your problem is application permissions. Think multi-tenant SaaS, customer-facing roles, sharing rules. That is their home turf. They are good at it.
  • You need ReBAC. Zanzibar-style relationship graphs are a real gap for us. We do scopes, authority tiers and Cedar on admin decisions. We don't do relationship tuples.
  • You want to start this afternoon. They have a Free Forever tier, public limits, a CLI, Terraform. No call with anyone. We publish prices too, but their self-serve path is smoother.
  • You already run OPA or Cedar. You want policy and data pushed to it live. That is what OPAL does. It is Apache-2.0, and it is good software.

Bottom line: Permit.io decides. DataShield decides too. It also carries the data, holds the keys, and keeps proof. Plenty of teams will run both: Permit.io inside their app, DataShield under their agents. Can you fund only one? If your exposure is agents touching regulated data, start here.

Feature by feature

Competitor cells describe what Permit.io says. We read their public site. Also their blog and pricing page, as of the date above. Did we get something wrong? Email support@myorg.ai. We'll fix it, and credit you.

What mattersDataShieldPermit.ioEdge
Audit evidenceA SHA-256 hash chain, with Ed25519-signed checkpoints. Those checkpoints chain too. It names the failure: tampering, insertion, deletion, or truncation. Try the verifier.Audit logs and decision traces. Their September 2026 post argues well for decision provenance. It covers an evidence lifecycle too. It names no cryptographic tamper check, though.◆
Agent authorizationEach checked tool call passes a scope ceiling. It also passes a declared authority tier. It gets a revocation re-check before dispatch. Cedar covers admin, setup and token decisions.MCP Gateway sits in front of MCP servers. It adds authentication, consent, fine-grained authorization and audit. It checks every tool call. That's the same moment in the request as ours.◈
Policy modelsScopes, authority tiers, and Cedar policies. We add policy_explain too. Plus entitlement expansion on admin and token decisions. We have no relationship graph.RBAC, ABAC and ReBAC, unified behind one check API. Plus a no-code policy editor. It is broader and more mature than ours.◇
Break-glassScoped, time-boxed emergency access for agents. It auto-revokes. It cannot be quietly deleted from the log.We couldn't find break-glass in their public docs. Ask them about it.◆
GDPR erasureWe crypto-shred per-subject key material. We issue ISO 27560 consent receipts too. Actor identities carry an HMAC commitment. So the chain still checks out, even after erasure.They list GDPR and CCPA as compliance posture. We found no erasure steps in the docs we read. We saw no effect on decision logs either.◆
Tokenization and data handlingWe tokenize datasets at ingest. Agents query tokenized data over MCP. Detokenization is a privileged, audited move. We also generalize quasi-identifiers: dates become year, decade or age band. ZIPs shrink to 3 or 4 digits. Phones, SSNs and emails go partial. Each gets a measured score per column.This isn't a data plane. They decide about data held elsewhere. That is a design choice, not a flaw. The data still needs protecting, though.◆
Credential storageConnection Vault: encrypted per-subject credentials. Eight strategies, including Snowflake keypair JWT.MCP Gateway pushes toward zero standing privilege. It skips embedding credentials in agent workflows. We found no credential store of their own.◆
AuthenticationSAML, OIDC, WebAuthn passkeys and local. RFC 9068 JWTs, API keys, MCP tool tokens, JWKS rotation too. We issue the identity. Then we authorize it.This is an authorization layer. Identities come from your IdP. Their gateway adds authentication at the MCP edge. It is not a full identity provider.◆
Developer experienceMCP endpoints on Auth, Ontology and Lighthouse, plus REST. Good docs, a smaller surface, fewer SDKs.CLI, Terraform, GitOps, embedded UI Elements, and broad SDKs too. OPAL sits at 5.5k stars on GitHub. It's their open-source front door.◇
DeploymentSelf-hosted or dedicated single-tenant. You hold the keys. We include policy management.A local PDP runs OPA or Cedar on your own system. It pairs with a hosted control plane. On-prem options sit at the Enterprise tier.◈
Maturity signalsAuth, Guardian and Lighthouse are live in production. Guardian and Lighthouse have run since April 2026. SOC 2 isn't certified yet. We say so, plainly.SOC 2 Type II, HIPAA, GDPR, CCPA. Named logos include Cisco, Intel, BP, Honeycomb and Palo Alto. They claim sub-50ms latency at hundreds of millions of identities.◇
PricingOur pricing is public. Get a scoped instant quote. No sales wall.Community tier is free forever, with public limits. They name a Pro tier but give no dollar figure. Enterprise means contact sales.◈

◆ DataShield leads◇ Permit.io leads◈ comparable

Permit.io claims come from permit.io. Also their blog, their pricing page, and the OPAL repository. We last checked 13 September 2026. We link them below, rather than work from memory.

Three things you get here that you won't get from an authorization service

Proof, not just provenance

Permit.io's own audit post gets the shape right. Identity, context, policy, decision, enforcement. Then it stops. Someone can edit a decision log after the fact. If so, it proves nothing about the past. Ours is a hash chain with signed checkpoints. The verifier tells you what broke, not just that something did. EU AI Act Article 12 and HIPAA §164.312(b) reviewers care about that property. Try it in your browser. No signup needed.

A data plane, not just a verdict

A check API returns allow or deny. It does not hand the agent a row. Somebody still has to make that row safe to read. We tokenize at ingest. We generalize quasi-identifiers too. What the agent queries over MCP never held the raw value. See the architecture.

Authority that changes mid-flight

An analyst leaves on a Friday. Their agent is 12 minutes into a 40-minute job. We re-check the next checked tool call against current access. It fails closed. No waiting for a token to expire. No cache to drain. How Auth does it.

Where Permit.io is genuinely stronger

They have been building authorization since 2021, and it shows. ReBAC is the clearest gap. Say Alice can edit a doc. Why? She is in the group that owns the folder. Their tuples handle that case. Our scopes do not. Their policy editor lets a non-engineer read a rule. OPAL is Apache-2.0. It has around 5,500 stars. It pushes policy and data to OPA or Cedar. In real time. That is genuinely useful, whether or not you ever pay them. They hold SOC 2 Type II, and we do not. Their free tier publishes hard numbers, right down to 2,000 relationship tuples. That is more honest than most pricing pages manage.

Here is the push-back. Permit.io is a piece you embed. Components inherit the trust of whatever hosts them. The gateway sees the tool calls that go through it. It does not hold the agent's Snowflake credential. It does not decide what the returned rows look like. And it gives an examiner no reason to trust the log. Is it the one you first wrote? Gartner expects most unauthorized agent transactions through 2028 to be internal policy breaks. Not attacks. That means the real argument you will have is about evidence. And it is with someone who was not in the room. We built for that argument. They built for the developer writing the check.

Questions worth asking both of us

These are the questions we'd want answered if we were buying. Ask them on every vendor call, including ours.

Can you cryptographically prove an audit log entry wasn't deleted?

DataShield: yes. Each record commits to the one before it. We sign and chain the checkpoints. The check tells deletion from truncation from tampering. Run it against a sample chain at /verify. Permit.io: they publish audit logs and decision traces. They wrote a thoughtful September 2026 post on decision provenance too. But we found no tamper-check system. Ask them to show one.

What happens to a revoked agent mid-session?

DataShield re-checks access on each checked tool call. So revocation lands on the next call. Permit.io recomputes authorization at runtime with context. That is the right design. Their MCP Gateway also pushes toward zero standing privilege. Ask both of us the same follow-up. After you flip the switch: how many seconds does the agent keep working? What is the cache TTL?

How does GDPR erasure interact with the audit trail?

DataShield crypto-shreds per-subject key material. It issues an ISO 27560 consent receipt too. Actor identities in the chain carry an HMAC commitment. Even after the subject is gone, the evidence still checks out. Permit.io lists GDPR and CCPA compliance. We could not find an erasure path they describe. Nor its effect on decision logs. Ask whether erasing a subject leaves holes in the log.

Is DataShield a Permit.io alternative for AI agent authorization, or something else?

Both, depending on scope. Maybe all you want is a check API. For MCP tool calls. If so, Permit.io's MCP Gateway does that. It is easier to drop in. Or maybe you want it all. The identity. The credential vault. The tokenized data plane. The evidence chain. All in one place. That is us. Most teams evaluating us are replacing a homemade mix. Think an IdP, a secrets store, a SIEM. They are not replacing Permit.io.

Does DataShield do RBAC, ABAC and ReBAC?

No, and I'd rather say it plainly than fudge it. We use scope ceilings on the tool-call path. Plus declared authority tiers. Cedar covers admin, config and token decisions. It also does policy explanation and entitlement expansion. Attributes shape that setup; relationships do not. Does your access model need Zanzibar-style relationship graphs? Then Permit.io is the better tool. Buy it.

Does DataShield have SOC 2?

Not yet, and we won't imply otherwise. Permit.io does, along with HIPAA, GDPR and CCPA posture. We offer a public threat model, plus a verifier anyone can run. Guardian and Lighthouse have run in production since April 2026. Design-partner terms include source escrow. That way a small vendor isn't a single point of failure. Details on the security page.

Other head-to-heads

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DataShield vs AuthZed

Zanzibar relationship graphs versus per-call authority and evidence.

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DataShield vs Styra and OPA

A policy engine is a primitive. A control plane is a product.

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DataShield vs Amazon Verified Permissions

Cedar as a service, versus Cedar inside an agent control plane.

All

Every comparison

One honest scorecard per vendor, including the rows we lose.

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