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Cybersecurity & AI Security

Protect SaaS, APIs, cloud, data and AI systems, including apps built with AI coding tools.

The problem

Apps built quickly, often with AI assistance, ship with the same classic holes: exposed keys, weak auth, unchecked inputs, permissive cloud rules. Agents add new ones: prompt injection, data leakage through tools, runaway spend. Security is a review, a fix list and a habit, not a certificate.

What we build

  • Application and API security reviews with prioritized fixes, not just findings
  • Auth hardening: sessions, MFA, rate limits, secrets management
  • Agent security: prompt-injection defenses, tool permissions, spend limits and audit logs

Application security, API security, Vulnerability scanning, Auth hardening, Agent security

How it works

  1. 01

    Scan and review

    Automated scanning plus a manual review of auth, data flows, cloud configuration and AI surfaces.

  2. 02

    Prioritize

    Findings ranked by exploitability and impact, with a fix plan your team can follow.

  3. 03

    Fix and verify

    We fix or pair on the fixes, then re-test every item on the list.

  4. 04

    Keep it that way

    Dependency and configuration checks in CI, and a quarterly review.

Work that proves it

  • SecureVibing home page: website security scanning, beside an illustration of a worried developer

    Security scanning for apps built with AI coding tools

    Designed and developed for the client: the scanning pipeline and the findings report for AI-assisted codebases.

  • Webhook Relay home page: forwarding webhooks anywhere, beside a wireframe globe of connections

    Webhook and API infrastructure with SOC 2 Type II, SSO and audit logs

    Designed and developed for the client: webhook forwarding and replay, tunnels, and the audit and access-control surface.

What you get

  • Security review report with ranked findings

  • Fix plan and verified fixes

  • Auth and secrets hardening

  • Agent security controls

  • CI security checks

  • Quarterly review schedule

Questions

What's included in a security engagement?
A review report with findings ranked by exploitability and impact, and a fix plan your team can actually follow. We fix or pair on the fixes and re-test every item, harden auth and secrets, put controls around any agent, and leave dependency and configuration checks running in your pipeline. A quarterly review keeps it from decaying.
How long does a security review take?
The review takes one to two weeks for a typical application and its cloud setup. Fixing depends on the list: most findings are hours, and a few — an auth model that has to change, a permission boundary that was never there — are weeks. You get the ranked list first, so you decide what to fix now and what to schedule.
What do you need from us?
Read access to the code, a staging environment we may attack, and read access to the cloud configuration. Written permission to test, naming the scope and the window, is not a formality: it protects both sides. One engineer on call during the active testing window keeps the whole thing to days rather than weeks.
Who owns the code and the data?
You do, and the findings are yours alone — the report is not published, reused or referenced elsewhere. Testing runs against your staging environment wherever possible, and any evidence we collect is deleted once the fixes are verified. Handover is the report, the verified fix list and the checks left running in your pipeline.
Do you test apps that were built with AI coding tools?
Often, and they fail in patterns worth knowing: keys committed to the repository, authorization checked in the interface but not the API, input validated on one path and not the next, cloud rules left wide open by a generated template. The code is usually fine in isolation; the gaps are between the pieces, which is exactly where a review looks.

Not sure where to start?

Describe the problem in a few lines. You get a straight answer on what we would build and how long it takes.

Book a 5-minute growth call