Security
We test what we build before it goes live.
Securetom is the AI security product we built. Before launch we can run it against the system we built for you, then our team audits, tests, and fixes what it finds.
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An LLM feature adds an attack surface that traditional application security does not cover: prompt injection, leakage of training and context data, insecure handling of model output, and agents with tool access that can be manipulated into acting on an attacker's behalf. Most teams shipping AI have nobody whose job it is to test for these, and their existing scanner cannot tell an AI endpoint from any other API.
Securetom is our own answer to that gap. We built it, and we can run it against the systems we build before they go live: logged-in tests that check one customer cannot see another customer's records, tests of the APIs behind the application, and prompt injection tests wherever AI is involved. Every finding comes with its root cause and step-by-step fixes, and because we built the system, we apply those fixes ourselves before launch. For healthcare clients, findings are reviewed against HIPAA readiness.
Our team takes it from there: AI security audits and LLM red teaming with CVSS-scored findings and a remediation roadmap, penetration tests with reproduction steps, compliance gap analysis mapped to EU AI Act, NIST AI RMF, ISO 42001, HIPAA, SOC 2, GDPR, and PCI DSS, and managed monitoring from the team that runs the system. We hold ISO 27001:2022 certification ourselves, and because we also run cloud infrastructure and ship the applications on it, findings come with a fix, not only a ticket.
Reference architecture
Security across the stack
Securetom scans your application, cloud, and AI stack for exposed endpoints and known weaknesses, the team audits and penetration tests what it finds, findings map to EU AI Act and NIST AI RMF, and managed monitoring keeps watch afterwards.
What We Do
Where this practice does its work.
Securetom testing
Endpoint and logged-in testing of the system before launch: access between customers, API exposure, and prompt injection where AI is involved, with root causes and step-by-step fixes.
AI security audit
LLM red teaming, prompt injection and jailbreak testing, RAG pipeline and agent tool-use review, and data leakage analysis, with CVSS scoring and a remediation roadmap.
AI penetration testing
Simulated attacks on your AI systems and the application stack beneath them, from multi-step injection chains to authorization bypass, with reproduction steps for every finding.
Compliance readiness
Gap analysis, policy and evidence plans, and regulatory mapping across EU AI Act, NIST AI RMF, ISO 42001, HIPAA, SOC 2, GDPR, and PCI DSS, so the audit is a formality.
Managed AI security
Scheduled Securetom re-tests, vulnerability management, incident response, and quarterly security reviews from the team that runs the system.
Application and cloud security testing
Web, API, and cloud configuration testing: authentication and authorization, IAM, exposed services, and the misconfigurations that leak data whether or not AI is involved.
How We Work
4 steps, each with a defined output before the next one starts.
Step 1 of 4
Securetom tests the system's endpoints, APIs and AI features, logged in and out, and produces a prioritized findings report that becomes the baseline for scoping.
- 01
Scan
Securetom tests the system's endpoints, APIs and AI features, logged in and out, and produces a prioritized findings report that becomes the baseline for scoping.
- 02
Audit
Our team tests the AI and application stack by hand: red teaming, penetration testing, and a compliance gap analysis against your target frameworks.
- 03
Remediate
Findings arrive with CVSS scores, reproduction steps, and a remediation roadmap. Our infrastructure and engineering teams can apply the fixes with you.
- 04
Monitor
Scheduled re-tests, vulnerability management, incident response, and quarterly reviews keep your posture from drifting between audits.
Tools and Platforms
What we work with.
Scanning
Securetom
Our own AI security product: endpoint, API, logged-in and prompt injection testing
Testing
Burp Suite
Manual and automated web and API penetration testing
Methodology
OWASP
OWASP Top 10, LLM Top 10, and Agentic Top 10 test coverage
Frameworks
NIST AI RMF
Govern, map, measure, and manage functions for AI risk
Scoring
CVSS
Severity scoring for every finding in audit and pen test reports
Cloud
AWS Security
Shield, GuardDuty, IAM, and CloudWatch for cloud posture
Deliverables
What you get.
- Securetom findings with root causes and step-by-step fixes
- Audit report with remediation roadmap and CVSS scoring
- Penetration test results with reproduction steps
- Compliance gap analysis and evidence plan
- Managed monitoring from the team that runs the system
- Quarterly security review
Meet Securetom
The AI security product we built. We can run it on what we build before launch.
Logged-in Testing
Tests run as real users, to catch one customer seeing another customer's records
Prompt Injection Testing
Wherever AI reads documents or talks to people, Securetom tries to make it misbehave
Root Causes and Fixes
Every finding comes with its root cause and step-by-step fixes
Go Deeper
More on how we secure what we build.
Case Studies
Security in practice.
Want the system we build for you tested before launch?
Book a call and we will scope Securetom testing into the build, along with any audit, penetration test or compliance work you need.
AI Security Audit Checklist
A 30-point checklist covering LLM vulnerabilities, model supply chain risks, data pipeline security, and compliance gaps. Used by our team during actual client engagements.
We will send it to your inbox. No spam.
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