Offensive Security
GLOBAL AI & LLM RED TEAMING
A dedicated AI Adversarial Simulation practice. We secure Large Language Models (LLMs) and Generative AI pipelines against prompt injection, model poisoning, and excessive agency. Align your AI innovation with OWASP Top 10, NIST AI RMF, and the EU AI Act using our battle-tested methodology.
Overview
Securing The Intelligence Age
Generative AI changes everything, including the threat landscape. Deterministic security controls fail against probabilistic models. You need a Red Team that thinks like an AI.
Faltrox Security treats AI Adversarial Simulation as a dedicated practice, not an afterthought. We don't just test for bugs; we test for alignment. Can your chatbot be tricked into leaking PII? Can your RAG pipeline be poisoned to serve malicious links?
We operate at the bleeding edge, researching new jailbreaks (DAN, SDA) daily, helping enterprises everywhere deploy AI safely so innovation doesn't outpace control.
Request assessmentLandscape
OWASP LLM Top 10
We map every assessment to the industry standard for Large Language Model security.
Prompt Injection
Crafting inputs that manipulate the LLM into executing unintended actions or overriding its system prompt.
RAG Data Poisoning
Injecting malicious documents into the Retrieval Augmented Generation pipeline to corrupt the AI's knowledge.
Insecure Output
Exploiting the lack of output validation to execute XSS or other payloads in downstream systems.
Model Inversion
Reconstructing private training data from the model's public outputs through repetitive querying.
Supply Chain
Compromising third-party models, datasets, or plugins used within your AI application.
Excessive Agency
Granting the AI agent too much autonomy or permission to interface with other internal systems.
Process
Red Team Process
From Architecture Review to Jailbreaking, a rigorous adversarial methodology for LLMs.
- 01
MAP
Identifying all AI integration points, prompt flows, and RAG data sources using tools like Garak.
- 02
PROBE
Automated fuzzing of prompts (PyRIT) to identify filter weaknesses, hallucinations, and jailbreak susceptibility.
- 03
EXPLOIT
Manual crafting of 'jailbreak' prompts (DAN, SDA) to bypass safety guardrails and extract system instructions.
- 04
HARDEN
Refining system prompts, implementing NeMo Guardrails, and validating output sanitization.
Scope
Attack Surface
We test for vulnerabilities unique to Generative AI.
Jailbreaking
Using adversarial prompts ('Do Anything Now') to bypass ethics filters and generate harmful content.
Data Extraction
Tricking the model into reciting PII, credit card numbers, or proprietary code snippets it was trained on.
Prompt Injection
Overriding the System Prompt to hijack the bot's persona and make it endorse competitor products.
Indirect Injection
Hiding malicious instructions in a webpage that the AI reads, causing it to attack the user.
Outcomes
Key benefits
Deploy AI with confidence.
Brand Protection
Prevent your AI from generating hate speech, competitor endorsements, or hallucinations that erode customer trust and surface in headlines.
Regulatory Readiness
Prepare for the EU AI Act, NIST AI RMF, and upcoming AI safety regulations.
Safe Adoption
Unlock the productivity of GenAI without exposing your IP to the public cloud.
Model Robustness
Ensure your model performs reliably even when under adversarial attack.
Privacy Assurance
Verify that your model does not memorize and regurgitate PII from the training set.
IP Security
Protect your proprietary model weights and fine-tuning datasets from theft.
Who we serve
Who we protect
GenAI Startups
Companies building custom LLMs or wrapper applications.
Enterprises
Orgs deploying internal RAG chatbots for knowledge management.
DevTools
Platforms integrating AI coding assistants and agents.
Differentiators
Why Faltrox?
| Feature | Standard vendor | Faltrox Security |
|---|---|---|
| Methodology | Automated scanning | Manual exploit chaining with AI assist |
| Validation | Scanner output | Every finding reproduced by a practitioner |
| Business logic | Ignored | Deep inspection |
| Reporting | Generic PDF | Dev-ready artefacts and proofs of concept |
| Re-testing | Extra cost | Included |
Compliance
Compliance aligned
Our methodology and reports are structured to satisfy rigorous security audits.
Frameworks we map to
- NIST AI RMF
- EU AI Act
- OWASP LLM Top 10
- ISO 42001
- SOC2
- GDPR
Audit ready
Letters of attestation included.
Standardised
OWASP ASVS and NIST 800-115.
FAQ
Common questions
01Can you test proprietary/internal models?
Yes. We can test both open-source models (Llama, Mistral) and proprietary internal models hosted on-prem or in your private cloud VPC.
02Do you follow security standards?
Yes. Our methodology is strictly aligned with the OWASP Top 10 for LLMs and the NIST AI Risk Management Framework (RMF).
03Is this different from traditional AppSec?
Crucially. LLMs are probabilistic. A 'fail' one time might be a 'pass' the next. We use statistical fuzzing to ensure our findings are consistent and reproducible.
04What about RAG systems?
Retrieval Augmented Generation is a massive attack surface. We test for 'data poisoning', injecting malicious docs that the AI then trusts and serves to users.
05Do you test for hallucinations?
Yes. While not strictly a security vulnerability, we test for 'convincing hallucinations' that could lead to liability or reputational damage.
06Can you help harden the prompts?
Absolutely. We provide 'System Prompt Hardening' services, rewriting your base instructions to be more resilient against jailbreaks.
07What tools do you use?
We use a combination of open-source tools (Garak, PyRIT), commercial scanners, and our own proprietary database of jailbreak strings.
Keep exploring
Related services
- 01
Offensive Security
Red Teaming & Adversary Simulation
Objective-driven red team engagements that emulate real adversaries end to end. We test whether your people, process, and detection actually stop an intrusion.
- 02
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External Attack Surface Assessment (EASM)
Discover and assess your full internet-facing attack surface, domains, cloud assets, shadow IT, and leaked credentials, from an attacker's perspective.
- 03
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AI-Powered Web Penetration Testing (WAPT)
Next-Gen Web App Security. We use AI agents to fuzz, exploit, and validate vulnerabilities in your web apps. Aligned with SOC 2, GDPR, and ISO 27001 requirements.
Start an engagement
Secure what’s next.
Speak with the engineering team to define scope, walk through the methodology, and decide whether Faltrox is the right team to test and run your environment.
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