Customer stories

Security teams, in their own words

How organisations use Prava AI to find exposure earlier, respond faster and keep evidence in order. Every story is approved by the customer before it is published.

Sectors

Six industries

Figures

Reported by each customer

Approval

Written, per story

Overview

What these stories cover

Each story describes one organisation's starting point, what it set out to change, how it deployed Prava AI and what it saw afterwards. We publish the details the customer is comfortable sharing, and nothing more.

Results depend on each environment. A figure in one story describes that customer's experience, not a guarantee for anyone else.

Featured story

[Sector] · [One-line summary of the outcome]

The challenge. [Challenge: the customer's situation and the security problem they needed to solve]

The approach. [Approach: which Prava AI modules were deployed, how and over what period]

The outcome. [Outcome: what changed, as reported by the customer]

"[Customer quote]"

[Name, job title, organisation]

[Metric 1][Metric 1 label]

[Metric 2][Metric 2 label]

[Metric 3][Metric 3 label]

More stories

Across sectors

Banking and financial services

[Customer name]

[Story summary: challenge and outcome] Modules used: threat intelligence, phishing defence, penetration testing.

[Metric][Metric label]

[Customer quote]

[Name, job title]

Healthcare

[Customer name]

[Story summary: challenge and outcome] Modules used: endpoint protection, digital forensics and incident response, compliance and policy management.

[Metric][Metric label]

[Customer quote]

[Name, job title]

SaaS and technology

[Customer name]

[Story summary: challenge and outcome] Modules used: application and cloud monitoring, penetration testing, compliance and policy management.

[Metric][Metric label]

[Customer quote]

[Name, job title]

Manufacturing and OT

[Customer name]

[Story summary: challenge and outcome] Modules used: IoT/OT monitoring, endpoint protection, malware analysis.

[Metric][Metric label]

[Customer quote]

[Name, job title]

Government and public sector

[Customer name]

[Story summary: challenge and outcome] Modules used: threat intelligence, server monitoring, digital forensics and incident response.

[Metric][Metric label]

[Customer quote]

[Name, job title]

Retail and e-commerce

[Customer name]

[Story summary: challenge and outcome] Modules used: phishing defence, application monitoring, dark-web monitoring.

[Metric][Metric label]

[Customer quote]

[Name, job title]

Note. Stories are published with each customer's written approval; figures are reported by the customer.

By industry

How Prava AI applies

The same platform, weighted differently by sector. These notes describe typical use, not specific customers.

Finance

Banking and financial services

Payment fraud, business email compromise and credential theft are constant. Phishing defence, dark-web monitoring and continuous testing of customer-facing applications carry most of the load.

Health

Healthcare

Clinical systems must stay available and patient data must stay private. Endpoint protection, incident response and policy management support both, with data kept in region.

Software

SaaS and technology

Fast release cycles create new exposure every week. Application and cloud monitoring and attack-surface discovery keep pace, and compliance tooling helps answer customer security reviews.

Industry

Manufacturing and OT

Plant networks run equipment that cannot be patched quickly. IoT/OT monitoring watches for unusual behaviour without disrupting operations, alongside endpoint protection on IT systems.

Public

Government and public sector

Targeted intrusion and data residency are central concerns. Threat intelligence, forensics and in-region processing help agencies investigate and keep data where it belongs.

Commerce

Retail and e-commerce

Storefronts, payment flows and customer accounts attract automated attacks and phishing. Application monitoring, phishing defence and dark-web monitoring for leaked credentials address the common routes in.

Share your story

Using Prava AI?

If Prava AI has changed how your team works, we would like to hear about it.

Write to hello@prava.dev with a few lines about your experience. We draft the story with you, you decide what is included, and nothing is published without your written approval. You can ask us to withdraw a story at any time.

  1. Tell us briefly what you would like to share.
  2. We hold a short interview and write a draft.
  3. You review the draft, check every figure and approve it in writing.
  4. We publish, and update or remove the story on request.

Next step

See how it fits your environment

Talk to us about your sector, your exposure and which modules matter most.