# AI Penetration Testing

Trust AI systems that behave as intended, secure, resilient, and aligned. Secure AI and LLM implementations by validating models, pipelines, and integrations against real-world abuse. Our team tests how AI actually fails, so it can be trusted to operate safely at scale.

## AI/LLM Testing Overview

A hybrid approach blending AI governance, threat modeling and adversarial testing of models, including repeatable tests and remediation validation.

### NIST AI RMF

Align AI systems to NIST AI RMF with structured risk identification, governance controls, and continuous validation.

**Methodology:**

- Map AI use cases to NIST AI RMF core functions and risk categories
- Assess governance, accountability, and model lifecycle controls
- Evaluate data quality, bias, transparency, and explainability risks
- Test model robustness, security, and operational resilience
- Deliver prioritized remediation aligned to compliance and business impact

### Threat Modeling

Identify and prioritize AI-specific threats across models, data, infrastructure, and deployment environments.

**Methodology:**

- Decompose AI architecture, data flows, and trust boundaries
- Identify AI-specific threats (model abuse, poisoning, prompt injection)
- Assess attacker impact, likelihood, and business risk
- Map threats to controls and mitigation strategies
- Validate findings through attack simulation and expert review

### AI Penetration Testing

Simulate real-world attacks to uncover exploitable weaknesses in AI models, APIs, and pipelines.

**Methodology:**

- Test AI models, APIs, plugins, and orchestration layers
- Execute prompt injection, data leakage, and model abuse scenarios
- Assess authentication, authorization, and input validation controls
- Evaluate training data exposure and inference risks
- Deliver actionable findings with prioritized remediation guidance

## WHAT TO EXPECT?

### Onboarding Platform

1

### Align Objectives & Outcomes

2

### Ongoing Testing / PIT Testing

3

### Quarterly Service Review

4

### Ongoing Testing Dashboard

5

## Why Evolve Security?

### 01

### CTEM Maturity Model

Evaluate CTEM maturity and strengthen resilience by assessing readiness against evolving adversary techniques and attack vectors.

### 02

### CPT Market Leader

Offensive SOC and engineering experts drive measurable outcomes, guiding every phase from exposure discovery to remediation.

### 03

### Award Winning Platform

Darwin Attack platform validates security controls and precisely pinpoints prioritized vulnerabilities across dynamic environments.

### 04

### OffSec Operations Center (OSOC)

Agile bullpen of offensive testers rapidly adapts tactics, mirroring adversaries as threats and business priorities shift.

### 05

### Trusted Methodologies

Industry-trusted methodologies including OWASP, OSSTMM, PTES, and NIST ensure disciplined, comprehensive penetration testing rigor.

### 06

### Customized Simulations

Tailored simulations reflect an industry’s distinct threats, adversary behaviors, and mission-critical attack scenarios.

## Game Changing Resources

Dive into our game changing resource library that delivers novel thought leadership and real-time perspectives that reimagine how organizations design, manage and elevate offensive security programs.

### AIUC-1: Why AI Systems Need Continuous Penetration Testing (Not Just a One-Time Assessment)

Point-in-time pen tests are already stale the moment your system prompt changes. Here's why continuous testing is now the baseline for AI security.

### AI AppSec Champions: How to Build Internal AI Security Expertise Before It’s Too Late

AI security risks like prompt injection and LLM data flows require a new kind of champion. Discover how the AI AppSec Champion model helps engineering teams catch vulnerabilities before they become breaches.

### Scott Howitt, CEO, SVH Cyber

Scott Howitt explains why Continuous Penetration Testing is essential amid AI-driven threats, highlighting measurable risk reduction, resilience, and stronger business-aligned security outcomes.

### Webinar: A Case for CTEM

A Case for CTEM | September 2025 | Paul Petefish, Jason Rowland, & Victor Marchetto

### Scaling to $100M from CISO to CEO to Investor

Most technical experts hit a ceiling at the C-suite, but very few understand the blueprint to transcend from protector to builder and investor.