What I Review Who It’s For What You Get How It Works AppSec & Pentesting Book a Call
Source Security LLC

AI & Agent Security

Security reviews for
AI agents and LLM apps.

Your agent can read data, call tools, and take actions. I find out what an attacker can make it do — before you ship.

10+ years of offensive AppSec and secure code review for banks and Fortune 500 tech companies, now pointed at AI.

Book a Scoping Call What I Review

What I Review

The ways AI systems actually get broken.

An LLM app is a normal app with a new, very persuadable component in the middle. I test both halves — and especially the places where they meet.

Prompt Injection

Direct and indirect — through the documents, web pages, emails, tickets, and tool output your model reads. Can an outsider steer your agent without ever talking to it?

Tool & Permission Abuse

What your agent can do, with whose credentials, and what happens when someone tricks it into doing it. Over-scoped tokens, missing approval steps, and actions that can’t be undone.

Data Leakage

System prompts, RAG sources, secrets in context, and other users’ data showing up where it shouldn’t — including through links, images, and tool calls that quietly send data out.

Unsafe Output Handling

Model output is untrusted input. I follow it into your HTML, SQL, shell commands, and downstream APIs to find where it turns into XSS, injection, or code execution.

MCP Servers & Integrations

The tools, plugins, and MCP servers your agent connects to — yours and third-party. Auth, input validation, and what a malicious or compromised tool could do.

The Code Around the Model

Auth, session handling, multi-tenancy, APIs, and the glue code — reviewed line by line, like any other application. This is still where most serious bugs live.


Who It’s For

Teams putting AI in front of
real users and real data.

Shipping an Agent Your agent reads email, browses, writes code, or takes actions in other systems — and you want to know how it fails before customers find out.
Adding AI to an Existing Product A chatbot, copilot, or RAG feature bolted onto an app that already holds sensitive customer data.
Building MCP Servers & AI Tooling Servers, plugins, and developer tools that other people’s agents will connect to and trust.
Answering Security Questionnaires Enterprise buyers are asking how your AI features are secured. A third-party review gives you a real answer.

What You Get

Findings your engineers can fix
and your customers can trust.

Reproducible Attacks

Every finding comes with the exact prompts, payloads, and steps that triggered it — so your team can see it happen, not just read about it.

Ranked by Real Impact

Severity based on what an attacker can actually do to your users and your data — not a generic checklist score.

Fixes, Not Just Problems

Concrete remediation at the code and architecture level: permission scoping, approval gates, output encoding, and isolation that hold up.

A Summary You Can Share

A short executive summary for leadership, auditors, and customers asking how your AI features are secured.

OWASP Top 10 for LLM Applications OWASP Agentic AI Threats MITRE ATLAS NIST AI RMF OWASP ASVS

How It Works

Three steps. One fixed price.

01 Scoping call — 30 minutes on what you’re building, and a fixed price
02 Review — hands-on attacks against your system, plus a read of the code
03 Report — findings ranked by real impact, with fixes your engineers can ship

Shipping an Agent?

Free 30-minute call. Walk me through what it does, and you’ll leave with the biggest risks I see and a fixed price to review it.

Book a Scoping Call
Or email contact@sourcesecurity.io directly No commitment required · Response within 24 hours