Softwr

Cybersecurity · head to head

Securiti vs Speakeasy

Securiti logo

Securiti

Cybersecurity

Data and AI security posture management with privacy operations on a single data catalogue

From
On request
Rated
-
Speakeasy logo

Speakeasy

Cybersecurity

AI control plane for governing enterprise agents, MCP servers, and skills

From
On request
Rated
-

The short version

  • Each has a real cost: Securiti value depends entirely on connector coverage and completed scanning, so the first useful data map commonly takes months and stalls whenever a data owner will not grant access to a system.; Speakeasy no self-serve pricing is published; every plan requires a sales conversation.
  • They diverge on capability: Securiti covers Sensitive data discovery, Speakeasy covers AI tool catalog.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Securiti and Speakeasy actually diverge.

Attributes where Securiti and Speakeasy differ
AttributeSecuritiSpeakeasy
PlatformsWebweb, api

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Cybersecurity).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Securiti

  • Sensitive data discovery
  • Data security posture management
  • Data access intelligence
  • AI and LLM governance
  • PrivacyOps
  • Data flow governance
  • Breach impact analysis
  • People data graph

Only in Speakeasy

  • AI tool catalog
  • Per-agent identity
  • Role-based access control
  • Real-time policy enforcement
  • Audit logging
  • MDM and SSO integration

What people use each for

The jobs each tool is most often brought in to do.

Securiti

  • An enterprise that must answer, within days of a breach, exactly whose regulated data was in the affected store and in which jurisdictionsnot Speakeasy
  • A privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at allnot Speakeasy
  • A security team that needs to find sensitive data sitting in over-permissive cloud buckets and warehouse tables before an auditor doesnot Speakeasy
  • A company putting internal data into retrieval-augmented AI applications and needing to prove that regulated fields are not reaching the modelnot Speakeasy

Speakeasy

  • Governing AI agents at enterprise scalenot Securiti
  • Preventing shadow AI tool sprawlnot Securiti
  • Enforcing least-privilege access for agentsnot Securiti
  • Auditing AI tool call activity for compliancenot Securiti

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Securiti

  • Value depends entirely on connector coverage and completed scanning, so the first useful data map commonly takes months and stalls whenever a data owner will not grant access to a system.
  • Usage-based pricing tied to data volume means costs rise as the estate grows rather than as the security programme matures, and organisations with large but low-risk data lakes pay for scanning they do not need.
  • The breadth across DSPM, privacy and AI governance means each individual module is competing with a specialist, and buyers who only need one of the three often find a focused tool does that job better for less.
  • Classification accuracy on unstructured and free-text data requires tuning, and untuned deployments generate false positives that erode trust in the catalogue precisely when teams are being asked to act on it.
  • Pricing is unpublished and modular, so scoping is difficult without a sales engagement and the eventual cost depends on module choices that are hard to evaluate before you have seen your own data map.

Speakeasy

  • No self-serve pricing is published; every plan requires a sales conversation.
  • The product pivoted away from its original SDK-generation offering, so past documentation and customers built on that use case are no longer the focus.
  • Requires integration with an existing identity provider such as Okta or Entra ID to be useful, so it is not a standalone solution.
  • No published free tier or trial pricing was found.

Pricing, plan by plan

Securiti

On request
  • Data and AI Command Centre$undefined/year
    • Modular, usage based pricing quoted by data volume and modules selected
    • Available through the AWS marketplace as well as direct
    • Annual subscription with no fixed end date, cancellable

Speakeasy

On request
  • Enterprise$undefined/mo
    • Custom pricing
    • AI tool catalog and visibility
    • Per-agent identity and access control

Which should you pick?

Choose Securiti if

  • You need sensitive data discovery.
  • You also want data security posture management.

Choose Speakeasy if

  • You need ai tool catalog.
  • You work on web, api.
  • You also want per-agent identity.

Questions people ask

Is Securiti or Speakeasy better?
Neither clearly leads. Securiti starts at On request and Speakeasy at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Securiti or Speakeasy?
Securiti starts at On request and Speakeasy at On request.
Does Securiti or Speakeasy run on more platforms?
Securiti runs on Web. Speakeasy runs on web, api.
What is Securiti best used for?
Securiti is most often used for an enterprise that must answer, within days of a breach, exactly whose regulated data was in the affected store and in which jurisdictions, a privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at all, a security team that needs to find sensitive data sitting in over-permissive cloud buckets and warehouse tables before an auditor does, a company putting internal data into retrieval-augmented ai applications and needing to prove that regulated fields are not reaching the model. Of those, an enterprise that must answer, within days of a breach, exactly whose regulated data was in the affected store and in which jurisdictions and a privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at all are not what Speakeasy is typically brought in for.
What can Securiti do that Speakeasy cannot?
Securiti covers Sensitive data discovery, Data security posture management, Data access intelligence, AI and LLM governance. Speakeasy covers AI tool catalog, Per-agent identity, Role-based access control, Real-time policy enforcement.

Answered from the vendors’ own pages

Securiti: Is Securiti a DSPM tool or a privacy tool?

Both, deliberately. It runs data security posture management and privacy operations off one discovery catalogue, which is its main argument against buying two products.

Speakeasy: How much does Speakeasy cost?

Speakeasy offers an Enterprise tier with features including SaaS catalog integrations, custom server creation, code mode efficiency, and serverless hosting. No specific pricing is published; interested parties contact the company to discuss pricing.

Source
Securiti: What does it cost?

Not published. Pricing is modular and usage based, quoted by data volume and selected modules, and it is also available through the AWS marketplace.

Speakeasy: What is included in Speakeasy's Enterprise plan?

The Enterprise plan includes SaaS catalog integrations, custom server creation, code mode efficiency, and serverless hosting. Customers contact Speakeasy to discuss their specific pricing for these features.

Source
Securiti: How long until it is useful?

Expect months, not weeks. The limiting factor is configuring connectors and getting access approvals to the systems you most want scanned.

Securiti: Does it govern AI use?

Yes, it includes controls over data flowing into models and retrieval pipelines, which is increasingly the reason enterprises shortlist it.

Share

Related pages

Other head to heads