AI Penetration Testing for LLMs, Agents, & MCP Servers

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Key AI/LLM Threats We Test

Attackers don't break into AI systems; they talk their way in. Prompt injection, data exfiltration, and sandbox escaping bypass traditional security. Manual red teaming exposes these risks before adversaries do.

Jailbreak and Prompt Injecion

What it means:

We combine curated and generative attacks against prompts and RAG/vector stores.

Why it matters?

Exposes guardrail gaps with reproducible attacks.

Context Poisoning & RAG Manipulation

What it means:

We inject malicious content into knowledge bases, vector stores, and retrieval pipelines to corrupt model outputs.

Why it matters?

Exposes how attackers can weaponize your own data sources against you.

Multi-Step Attack Chains

What it means:

We chain multiple minor vulnerabilities across prompts, tools, and context to achieve critical impact.

Why it matters?

Reveals realistic attack paths that single-vector testing misses.

Abuse Resilience and recovery

What it means:

Assessment of how systems withstand and recover from misuse through controlled stress and fault injection.

Why it matters?

It simulates abuse to test rate limits and checks moderation and bypass defenses.

AI Threat Modelling

What it means:

Maps model boundaries, agent permissions, identities, and data stores to define material loss scenarios.

Why it matters?

It allows you to prioritize defenses by material loss scenarios.

Integration & Deployment Risks

What it means:

We test for Vulnerabilities arising from how AI/LLMs integrate into applications.

Why it matters?

Those vulnerabilities could enable privilege escalation or RCE-style outcomes.

Qurrent

After partnering with Software Secured for tailored penetration testing across their complex, custom AI deployments security investments accelerated enterprise sales and boosted confidence across engineering and leadership.

“Software Secured thought about our infrastructure the same way we built it: flexible, powerful, and complex. They didn’t force us into a box. They tested
what mattered.”

                                                  - DevOps Engineer             

Ship Secure AI and LLM Applications

Mitigate the risks that lead to data leaks, fraud, and legal exposure with structured, real-world testing coverage.

Meet Compliance Goals

Aligned with Mitre AI ATLAS Matrix, Google SAIF Risks, and OWASP Top 10 ML, so that you can meet your compliance goals.

Pricing

Our team handles the heavy lifting so you can focus on keeping your attack surface protected without the headaches.