SUZU Offensive Security Solutions

AI & LLM Penetration Testing

You're deploying AI fast. But are you securing it just as quickly? Suzu Labs tests AI systems the way real adversaries do, probing LLM integrations, prompt injection paths, data leakage risks, model abuse, and API exposures so your innovation doesn't become your next breach.

Test AI Systems Like an Attacker Would

AI risk isn't theoretical. Prompt injection, data poisoning, insecure model APIs, and privilege escalation through LLM integrations are already being exploited. Our human-led testing evaluates your AI stack including APIs, plugins, data sources, and access controls so you understand real exploit paths, not just policy gaps.

 

AI LLM pentesting

What We Test in AI & LLM Environments

AI systems expand your attack surface. We test where adversaries are already looking.

Prompt Injection & Jailbreaks

We simulate malicious prompt crafting to bypass guardrails and extract sensitive data or override system constraints.

Learn more about jailbreaking

Data Leakage & Exposure

We test for unintended disclosure of internal data, training artifacts, secrets, and cross-tenant leakage.

Learn more about data exposure

Identity & Access Abuse

We assess how AI integrates with IAM systems and whether privilege escalation is possible through LLM workflows.

Learn more about the agent identity problem

Insecure Plugin & Integration Risk

We test third-party plugins, automation hooks, and external connectors that expand AI attack paths.

Learn more about third-party risks
PHYSICAL LAYER DEFENSE

Hardware Hacking

This usually comes up when something is on the line. A new device launch, customer trust, or protecting intellectual property.

We evaluate the security of your hardware and embedded systems to ensure they can’t be easily exploited, cloned, or manipulated in the real world.

  • When you’re shipping devices or relying on connected technology, unseen risks can lead to real consequences. From customer trust issues to expensive fixes. We help you catch those issues before they impact your business.
  • What We Hack: SCADA, IoT, OT, Vehicles, Embedded Systems.
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Questions

AI/LLM Penetration Testing FAQs

AI/LLM Penetration Testing evaluates how attackers could manipulate or abuse AI-powered systems such as chatbots, RAG pipelines, and AI agents. It focuses on risks unique to language models, including prompt injection, data leakage, and unauthorized tool execution.

We test customer-facing chatbots, internal chatbots and AI assistants, RAG pipelines, AI agents with tool access, AI-powered search and recommendation systems, and custom models deployed via API. If your system uses a language model to make decisions, generate content, or interact with users or data, it’s in scope.

Yes, the OWASP Top 10 for Large Language Models is a baseline for our methodology. It covers prompt injection, insecure output handling, training data poisoning, model denial of service, supply chain vulnerabilities, and more. But we don’t stop at the OWASP list. Our operators develop and maintain custom attack techniques based on active research and real-world engagements that go beyond published frameworks. The threat landscape for AI systems is evolving faster than any standards body can keep up with, and our testing reflects that.

Yes. We actively attempt direct and indirect prompt injection, multi-turn coercion, and jailbreak techniques to determine whether safeguards can be bypassed or degraded over time.

We evaluate whether AI systems can misuse connected tools, escalate privileges, access unauthorized data, or trigger unintended actions across integrated systems.

We need access to the AI-powered features being tested, which typically means user accounts, API endpoints, and documentation on how the AI system is integrated into your application. If the system uses plugins or connects to external tools, we need visibility into those integrations. For RAG-based systems, understanding what data sources the model retrieves from helps us test for data leakage and retrieval manipulation effectively.

Most AI/LLM engagements run one to three weeks depending on the number of AI-driven features, the complexity of integrations (plugins, tools, data sources), and how many user roles or access levels interact with the AI system. We provide a clear timeline during scoping, and if we discover a critical finding that poses an imminent threat, we escalate it to your team immediately.

Testing is carefully scoped and coordinated to avoid disruption. When validating findings, we use safe exploitation techniques designed to prove impact without harming systems, data, or users.

The report is the beginning, not the end. You get a live debrief with the operators who ran the engagement, walking through every finding, its real-world impact, and specific remediation steps. If your team needs hands-on help remediating, we can work alongside your engineers to close the gaps. Once fixes are in place, we conduct retesting to verify they’re resolved.

AI / LLM Security Testing vs. Web Application Pentesting

AI/LLM Pentesting Web Application Pentesting
Scope Prompt injection, model manipulation, data leakage, output abuse, AI integrations Authentication flows, input validation, business logic, APIs, and server-side logic
Attack Surface User prompts, training data exposure, embeddings, plugins, third-party model integrations Web forms, session handling, APIs, client-side and server-side components
Common Vulnerabilities Prompt injection, data exfiltration through model output, insecure model APIs, model jailbreaks SQL injection, XSS, CSRF, broken access controls, logic flaws
Testing Approach Simulates malicious prompt crafting, model manipulation, and abuse of AI outputs Simulates real-world attackers exploiting application vulnerabilities
Impact if Compromised Brand damage, misinformation, regulatory risk, data exposure, unsafe automated decisions Data breach, account takeover, service disruption
Best For Organizations deploying AI chatbots, copilots, AI-powered SaaS features, or LLM integrations Organizations operating traditional web applications and SaaS platforms

Verified expertise

Validate defenses. Reduce exposure.

Penetration Testing

What It Is: We don't just scan for vulnerabilities; we exploit them safely to prove where your defenses might fail. Our offensive security experts simulate real-world attacks to identify complex misconfigurations and logic flaws across your entire infrastructure.

 

  • Full-Spectrum Testing: Deep dives into web apps, internal/external networks, and cloud environments.
  • Risk-Based Analysis: Understand exactly how an attacker could move laterally through your systems.
  • Continuous Validation: Transition from periodic "check-the-box" audits to a culture of constant defensive improvement.
  • What We Test: Web-App, Mobile App, API, External Network, Internal Network, WIFI, Cloud, IoT, Physical.
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PHYSICAL LAYER DEFENSE

Hardware Hacking

What It Is: Modern attacks don’t stop at software. We analyze firmware, embedded systems, and IoT devices to uncover security gaps at the hardware level. From side-channel testing to reverse engineering, our hardware security services safeguard critical infrastructure and consumer technology alike.

  • Move beyond software patches by identifying vulnerabilities in firmware and embedded systems that traditional scanners miss, ensuring your hardware is secure from the first boot.
  • We simulate advanced attack vectors like side-channel analysis and reverse engineering to ensure your critical infrastructure and consumer tech can withstand hands-on exploitation.
  • Protect your brand and your users by uncovering hidden gaps in interconnected devices, preventing your hardware from becoming an easy entry point for larger network breaches.
  • What We Hack: SCADA, IoT, OT, Vehicles, Embedded Systems.
person hacking hardware
OFFENSE AND DEFENSE SYNERGY

Purple Team Exercises

What It Is: High-impact collaborative engagements where our offensive experts (Red) and defensive (Blue) teams work side by side to test detection and response capabilities, turning findings into immediate improvements.

  • Targeted Exploitation: We move beyond basic scanning to emulate specific TTPs (Tactics, Techniques, and Procedures) used by modern threat actors, ensuring your defenses are tested against actual adversary behavior.
  • Closing the Detection Gap: By mapping offensive actions to your specific security telemetry in real-time, we identify exactly where visibility fails and provide the code-level fixes to bridge those gaps.
  • Operational Resilience: We don't just find vulnerabilities; we use offensive data to build "detection-as-code," giving your team the playbooks needed to stop sophisticated lateral movement and data exfiltration.
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PROVING DEFENSIVE EFFICACY

ThreatSIM — Attack Simulation & Service Validation

What It Is: ThreatSIM is our proprietary platform designed to simulate MITRE ATT&CK®–based adversary behaviors safely within client environments. Unlike point-in-time tests, ThreatSIM continuously validates the effectiveness of your security stack, your SOC, and your MSSP’s detection and response capabilities.

  • Move beyond static testing with ongoing simulations that verify your security stack, SOC, and MSSP are detecting and blocking threats in real time.
  • Safely emulate real-world adversary behaviors within your environment to ensure your defenses are tuned against the most current and relevant global attack tactics.
  • Eliminate guesswork by gathering concrete data on how well your existing tools and service providers perform, allowing you to bridge gaps before a real breach occurs.
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Book a threat briefing

If there’s a way in, we’ll find it first.

A patch is a start, but it isn't a strategy. Connect with our offensive security specialists to identify the logic flaws and lateral movement paths that put your critical assets at risk. Let’s build a roadmap to true resilience.

We'll be in touch within one business day to schedule your briefing. No sales follow-up sequence — just the briefing.

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