GenAI Red Teaming: Uncover GenAI risks and vulnerabilities in your LLM-based applications

Identify vulnerabilities in your homegrown applications powered by GenAI with Prompt Security’s Red Teaming

What is GenAI Red Teaming?

GenAI Red Teaming is an in-depth assessment technique, mimicking adversarial attacks on your GenAI applications to identify potential risks and vulnerabilities. As part of the process, the resilience of GenAI interfaces and applications is tested against a variety of threats, like Prompt Injection, Jailbreaks and Toxicity, ensuring they are safe and secure to face the external world.

Our Approach

Prompt’s Red Teaming

A team of world-class LLM experts will conduct comprehensive penetration testing based on state-of-the-art research in GenAI Security, guided by the OWASP Top 10 for LLMs and other industry frameworks, and using heavy compute resources.

Privilege Escalation

As the integration of Large Language Models (LLMs) with various tools like databases, APIs, and code interpreters increases, so does the risk of privilege escalation.

AppSec / OWASP (llm08)

Brand Reputation Damage

Unregulated use of Generative AI (GenAI) poses a significant risk to brand reputation.

AppSec / OWASP (llm09)

Prompt Injection

Prompt Injection is a cybersecurity threat where attackers manipulate a large language model (LLM) through carefully crafted inputs.

AppSec / OWASP (llm01)

Denial of Wallet / Service

Denial of Wallet Attacks, alongside Denial of Service, are critical security concerns where an attacker excessively engages with a Large Language Model (LLM) applications, leading to substantial resource consumption.

AppSec / OWASP (llm04)

Jailbreak

Jailbreaking represents a specific category of prompt injection where the goal is to coerce a generative GAI application into deviating from its intended behavior and established guidelines.

AppSec / OWASP (llm01)

Prompt Leak

Prompt Leak is a specific form of prompt injection where a Large Language Model (LLM) inadvertently reveals its system instructions or internal logic.

AppSec / OWASP (llm01, llm06)

Toxicity / Bias / Harmful

A jailbroken Large Language Model (LLM) behaving unpredictably can pose significant risks, potentially endangering an organization, its employees, or customers.

AppSec /IT / OWASP (llm09)

Privilege Escalation

As the integration of Large Language Models (LLMs) with various tools like databases, APIs, and code interpreters increases, so does the risk of privilege escalation.

AppSec / OWASP (llm08)

Brand Reputation Damage

Unregulated use of Generative AI (GenAI) poses a significant risk to brand reputation.

AppSec / OWASP (llm09)

Prompt Injection

Prompt Injection is a cybersecurity threat where attackers manipulate a large language model (LLM) through carefully crafted inputs.

AppSec / OWASP (llm01)

Denial of Wallet / Service

Denial of Wallet Attacks, alongside Denial of Service, are critical security concerns where an attacker excessively engages with a Large Language Model (LLM) applications, leading to substantial resource consumption.

AppSec / OWASP (llm04)

Jailbreak

Jailbreaking represents a specific category of prompt injection where the goal is to coerce a generative GAI application into deviating from its intended behavior and established guidelines.

AppSec / OWASP (llm01)

Prompt Leak

Prompt Leak is a specific form of prompt injection where a Large Language Model (LLM) inadvertently reveals its system instructions or internal logic.

AppSec / OWASP (llm01, llm06)

Toxicity / Bias / Harmful

A jailbroken Large Language Model (LLM) behaving unpredictably can pose significant risks, potentially endangering an organization, its employees, or customers.

AppSec /IT / OWASP (llm09)

Privilege Escalation

As the integration of Large Language Models (LLMs) with various tools like databases, APIs, and code interpreters increases, so does the risk of privilege escalation.

AppSec / OWASP (llm08)

Brand Reputation Damage

Unregulated use of Generative AI (GenAI) poses a significant risk to brand reputation.

AppSec / OWASP (llm09)

Prompt Injection

Prompt Injection is a cybersecurity threat where attackers manipulate a large language model (LLM) through carefully crafted inputs.

AppSec / OWASP (llm01)

Denial of Wallet / Service

Denial of Wallet Attacks, alongside Denial of Service, are critical security concerns where an attacker excessively engages with a Large Language Model (LLM) applications, leading to substantial resource consumption.

AppSec / OWASP (llm04)

Jailbreak

Jailbreaking represents a specific category of prompt injection where the goal is to coerce a generative GAI application into deviating from its intended behavior and established guidelines.

AppSec / OWASP (llm01)

Prompt Leak

Prompt Leak is a specific form of prompt injection where a Large Language Model (LLM) inadvertently reveals its system instructions or internal logic.

AppSec / OWASP (llm01, llm06)

Toxicity / Bias / Harmful

A jailbroken Large Language Model (LLM) behaving unpredictably can pose significant risks, potentially endangering an organization, its employees, or customers.

AppSec /IT / OWASP (llm09)

Benefits

Embrace GenAI, not security risks

Let our experts do the work so you can have the peace of mind that your GenAI customer-facing applications are safe before exposing them to the world.

Get detailed security insights

Your team will receive a detailed analysis of the risks your GenAI apps might be exposed to and get recommendations on how to address them.

Bring your own LLMs

Regardless of what LLMs you're using - open, private or proprietary - we’ll be able to identify the risks and give you concrete assessments.

Sit back and let us do the work

The process is as seamless as it gets: you’ll start receiving insights from day one and our specialists will be on hand to go over them with you.

Want to learn more about our approach to Red Teaming?

Prompt Security Dashboard

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Core Team for
LLM Security

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