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[ AI RED TEAMING · LLM ]

Continuous AI red teamingfor large language models

Large language models like GPT-4, Google Gemini, and Anthropic Claude have marked a paradigm shift in natural language processing — and traditional security approaches don't keep up with how fast they evolve.

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[ WHY LLM RED TEAMING ]

The risks of deploying LLMs

As with many revolutionary technologies, responsible deployment demands understanding the security risks these models introduce — especially now, when they evolve at a rapid pace and traditional security approaches fall short.

Prompt injection

Attackers manipulate model output by inserting malicious instructions into prompts, hijacking the application away from its intended behavior.

Prompt leaking

Models inadvertently reveal their own system prompts, exposing proprietary instructions, guardrails, and business logic to attackers.

Data leakage

Models disclose sensitive training data or connected context, surfacing PII, secrets, and confidential records that should never be returned.

Jailbreaking

Crafted techniques bypass built-in safety measures and content moderation, coercing the model into producing prohibited or dangerous output.

Adversarial examples

Carefully crafted prompts trigger incorrect or biased responses, degrading reliability where the model is trusted to make decisions.

Misinformation & manipulation

Models generate false or misleading content at scale — from scam emails to propaganda — damaging brand trust and enabling abuse.

[ SOLUTION ]

Continuous AI red teamingfor LLMs

Three integrated components take you from understanding your LLM's threats to continuously simulating the attacks that matter.

LLM threat modeling

Easy-to-use risk profiling to understand the threats specific to your particular LLM application and its data, users, and integrations.

LLM vulnerability audit

Continuous security audit covering hundreds of known LLM vulnerabilities and the full OWASP LLM Top 10.

LLM red teaming

State-of-the-art continuous, AI-enhanced LLM attack simulation that surfaces the unknown attacks audits miss.

[ WHY ADVERSA ]

Why teams choose Adversa AI

Vulnerability knowledgebase

Analytics backed by a continuously updated knowledgebase of LLM vulnerabilities, so findings come with context and remediation guidance.

Patented technology, 20+ awards

A first mover in commercializing AI security, with patented technology recognized by more than 20 industry awards.

Recognized jailbreak research

Our LLM jailbreak research is regularly cited by leading media and trusted by the security and AI communities.

[ GET A DEMO ]

Secure yourLLM applications

Book a demo of our AI red teaming platform for LLMs and discuss your unique challenges with our team.

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No data access required. We red-team on your infrastructure, your way.