SaaS + Production AI Security

Founder-led security for
SaaS & production AI.

Test the software and AI workflows your enterprise customers rely on. Get scoped findings, remediation evidence, and clear triggers for renewed testing.

Founder-led delivery Manual validation International engagements
What we test Trust boundaries

Make roles and tenants explicit.
Test the agreed boundaries.

  1. 01
    Users & identities Authentication · sessions · SSO
  2. 02
    Application & APIs Authorization · business logic
  3. 03
    Customer data & actions Tenant isolation · integrations

Evidence tied to the product your customer is buying.

Enterprise reviews Web & API LLM & RAG Agents & MCP Ongoing assurance
Two product lanes. Clear buying triggers.

Built for your next
enterprise security milestone.

01 / ENTERPRISE B2B SAAS

Your buyer requires a pentest. Define the evidence first.

For CTOs and engineering or security leads with a customer pentest request. Confirm the reviewer, report criteria, product scope, and evidence deadline before testing.

  • Enterprise questionnaire or buyer pentest request
  • Enterprise plan launch or regulated customers
  • New trust center or security page
02 / AI-NATIVE & AI-ENABLED SAAS

Your AI can access customer data.
Now it can take action, too.

For product and engineering teams whose production AI can read sensitive information or perform consequential actions. Test the full workflow and its permission boundaries.

  • Production agents, RAG, MCP, or tool calling
  • New model, provider, connector, or permission
  • Major AI architecture change or enterprise AI review
Choose your starting point

A focused engagement.
A clear next step.

All prices in USD, exclusive of taxes and fees.

  • Larger SaaS scopes: $12K–$18K+; complex engagements: $20K–$30K+.
  • AI pricing depends on workflows, integrations, permissions, and test depth.
  • Cloud, mobile, and source review are separately scoped.
Custom annual engagement

Continuous AI Assurance

After a baseline assessment, plan repeat testing when model, tool, data, or permission changes create identifiable review work.

Explore Continuous AI Assurance
Referral · Co-delivery · Volume

Security Partner

Independent SaaS and AI testing for GRC, vCISO, and product partners, with agreed report standards, scheduling, and client ownership.

Explore Security Partner
Assurance that moves with your product

A new model. A new tool.
A new reason to validate.

  1. 01

    Establish the baseline

    Complete a scoped assessment. Record the roles, tenants, workflows, permissions, tested versions, and remediation priorities.

  2. 02

    Review material changes

    Use the baseline and planned releases to identify repeat work. A stable system may need targeted follow-up instead of an annual plan.

  3. 03

    Revalidate and evidence

    For an agreed recurring plan, link change reviews and regression tests to versions, fixes, and the next reassessment.

Explore a custom annual assurance plan
Independent delivery for your clients

Two ways to extend your team.

Compliance & vCISO partners

Keep ownership of the SOC 2, ISO, or GRC program. Agree report quality, review steps, delivery dates, and retest responsibilities for each authorized client. Explore compliance partnerships ↗

AI & product development agencies

Plan independent testing before client handoff. Confirm project volume, scope, client ownership, and how findings return to the engineers implementing fixes. Explore agency partnerships ↗

Trust is in the delivery

Know how the work will be done.

Scope and rules of engagement

Agree assets, roles, tenants, environments, test windows, exclusions, stop conditions, and escalation contacts before access.

NDA and data handling

Agree confidentiality, authorized data, evidence sharing, approved tooling, access handling, and retention requirements during scoping.

Reporting and retesting

A coverage matrix, buyer evidence summary, reproducible findings, and scoped fix verification. Agree report requirements and engineering workshop time before delivery.

Buyer guides

Make the next decision with context.

Practical answers

Before we start.

Who is the best fit for DevBrows?

We work best with a named engineering or security owner, a defined system, and a buyer requirement or material risk. Our focus is SaaS and production AI; we also accept suitable work across industries and through GRC, vCISO, and product partners. We confirm expertise, budget, authorization, and sector requirements during scoping.

How do we start?

Share the system, buyer requirement, reviewer, and deadline in a short scoping conversation. If the required testing is clear, we scope it directly. The $2,500 Security Gate Sprint is a paid review for an unclear procurement request; it is not a prerequisite for testing.

How is AI security priced?

AI Application & Agent Security Assessment has a starting engagement range of $12,000–$20,000 USD, depending on scope. Workflows, model/provider boundaries, tools, MCP servers, roles, memory, and tenants determine the quote. Expanded engagements can exceed that range.

What does Continuous AI Assurance include?

Start with a baseline assessment and review the findings, release cadence, and next-quarter changes. Where recurring work is justified, an annual plan defines quarterly testing, change and permission reviews, a versioned regression record, questionnaire support, and annual reassessment. Capacity and response windows are agreed in writing.

Start with a scoped conversation

Bring the requirement.
We’ll define the right scope.

Share your product, buyer requirement, and target date. We’ll confirm the engagement, deliverables, and commercial terms before work begins.