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S / 01LLM RED TEAMING · AGENTIC SYSTEMS

AI Security Assessment

Adversarial security testing for LLMs, GenAI applications, agentic systems, and shadow AI. Aligned to OWASP Top 10 for LLM Applications, NIST AI RMF, and MITRE ATLAS.

OWASP LLM Top 10 + MITRE ATLAS mapping
Guardrail hardening recommendations
Shadow AI inventory & governance plan

What We Test

Focus Areas

Prompt injection & jailbreaking
Agentic AI tool-call abuse & excessive agency
Shadow AI discovery & governance
AI supply chain & model integrity review

Methodology

Our Process

01

AI Asset Mapping

Inventory models, agents, prompts, and shadow AI in use.

02

Threat Modelling

Map abuse cases against OWASP LLM Top 10 and MITRE ATLAS.

03

Adversarial Testing

Prompt injection, jailbreaks, tool-call abuse, data exfiltration.

04

Guardrail Verification

Validate filters, system prompts, and agent permission boundaries.

05

Risk-Rated Report

Attack success rates, blast radius, and hardening priorities.

Deliverables

What You Receive

Technical Findings Report
Executive Summary
Remediation Tracker
Retest Certificate
Attack Path Narrative
Debrief Session
Risk Rating Model

Coverage

Technologies We Test

Models & Providers

OpenAIAnthropicAzure OpenAIOpen-weight LLMs

Orchestration

LangChainLlamaIndexAgent frameworksRAG pipelines

Serving & Infra

Vector DBsModel APIsInference endpoints

Guardrails

System promptsContent filtersTool-call scopes

Standards

Compliance Mapping

OWASP Top 10 for LLM ApplicationsNIST AI Risk Management FrameworkISO/IEC 42001:2023MITRE ATLASISO/IEC 27001:2022EU AI Act (Regulation 2024/1689)

Questions

Frequently Asked

Get In Touch

Ready to find your real attack surface?

Tell us what you're building. We'll tell you how we'd break it — and how to stop us.

Response Time
Within 24 hours
Confidentiality
NDA and strict OPSEC
Prefer to talk?
Book a 15-minute intro call — no pitch, just technical scoping.

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