Cybersecurity · head to head
Fenergo vs Securiti

Fenergo
Cybersecurity
Client lifecycle management and KYC onboarding for regulated financial institutions
- From
- On request
- Rated
- -

Securiti
Cybersecurity
Data and AI security posture management with privacy operations on a single data catalogue
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Fenergo implementations commonly run twelve to twenty-four months and depend on a systems integrator, so the services cost frequently exceeds the software subscription in year one.; 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.
- They diverge on capability: Fenergo covers Regulatory rules library, Securiti covers Sensitive data discovery.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Fenergo and Securiti actually diverge.
Identical on both: starting price (On request), pricing model (quote), free tier (No), platforms (Web), 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 Fenergo
- Regulatory rules library
- Digital onboarding
- Perpetual KYC
- Entity data model
- Screening orchestration
- Case management
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
What people use each for
The jobs each tool is most often brought in to do.
Fenergo
- A bank operating in twenty jurisdictions that cannot keep local KYC requirements current across separate regional teamsnot Securiti
- A custodian moving from calendar-based periodic review to event-driven perpetual KYC to cut analyst headcountnot Securiti
- An asset manager onboarding funds and trusts where the ownership hierarchy defeats generic identity verification toolsnot Securiti
- A payments institution facing a regulatory remediation order and needing a defensible audit trail of every client reviewnot Securiti
Securiti
- An enterprise that must answer, within days of a breach, exactly whose regulated data was in the affected store and in which jurisdictionsnot Fenergo
- A privacy team automating deletion requests across dozens of systems where the hard part is knowing where a person appears at allnot Fenergo
- A security team that needs to find sensitive data sitting in over-permissive cloud buckets and warehouse tables before an auditor doesnot Fenergo
- A company putting internal data into retrieval-augmented AI applications and needing to prove that regulated fields are not reaching the modelnot Fenergo
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Fenergo
- Implementations commonly run twelve to twenty-four months and depend on a systems integrator, so the services cost frequently exceeds the software subscription in year one.
- It orchestrates screening but does not supply the sanctions, PEP or adverse media data, so you still buy Dow Jones, LexisNexis or World-Check separately and those fees are per screened entity.
- The entry price is set for institutions with large onboarding volumes, which puts it out of reach of smaller banks and fintechs that would otherwise benefit from the rules library.
- Configuration is deep and specific, which makes upgrades between major versions a project rather than a patch, and some customers stay on old releases for years.
- The rules library covers regulatory requirements, not your internal risk appetite, so the policy tuning that determines whether onboarding actually gets faster remains your work.
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.
Pricing, plan by plan
Fenergo
On request- Fenergo Client Lifecycle Management$undefined/year
- Priced by institution size, jurisdictions in scope and modules licensed
- Regulatory rules content subscription bundled into the annual fee
- Implementation delivered by Fenergo or a systems integrator and quoted separately
Securiti
On request- Data and AI Command Centre$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
Which should you pick?
Choose Securiti if
- You need sensitive data discovery.
- You also want data security posture management.
Questions people ask
- Is Fenergo or Securiti better?
- Neither clearly leads. Fenergo starts at On request and Securiti at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fenergo or Securiti?
- Fenergo starts at On request and Securiti at On request.
- Does Fenergo or Securiti run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- What is Fenergo best used for?
- Fenergo is most often used for a bank operating in twenty jurisdictions that cannot keep local kyc requirements current across separate regional teams, a custodian moving from calendar-based periodic review to event-driven perpetual kyc to cut analyst headcount, an asset manager onboarding funds and trusts where the ownership hierarchy defeats generic identity verification tools, a payments institution facing a regulatory remediation order and needing a defensible audit trail of every client review. Of those, a bank operating in twenty jurisdictions that cannot keep local kyc requirements current across separate regional teams and a custodian moving from calendar-based periodic review to event-driven perpetual kyc to cut analyst headcount are not what Securiti is typically brought in for.
- What can Fenergo do that Securiti cannot?
- Fenergo covers Regulatory rules library, Digital onboarding, Perpetual KYC, Entity data model. Securiti covers Sensitive data discovery, Data security posture management, Data access intelligence, AI and LLM governance.
Answered from the vendors’ own pages
Fenergo: Does Fenergo do the sanctions screening itself?
No. It orchestrates calls to third-party data providers such as Dow Jones and World-Check, and those subscriptions are additional and usually charged per screened entity.
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.
Fenergo: Is it SaaS or on-premises?
Both. The SaaS offering runs on Microsoft Azure with regional deployment options, which matters where data residency rules prohibit client data leaving the jurisdiction.
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.
Fenergo: How long does a deployment take?
Plan for a year at minimum for a multi-jurisdiction rollout. Single-jurisdiction deployments with a narrow product set can be shorter but rarely under six months.
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.
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