Generative AI Risks & Vulnerabilities

Generative AI introduces a new array of security risks, and we would know. As core members of the team that built the OWASP Top 10 for LLM Apps, we have unique insights into how Generative AI is changing the cybersecurity landscape.

Top GenAI Risks & Vulnerabilities

Click on each of these GenAI Risks and Vulnerabilities to learn more about them and how to effectively mitigate their risk.

Shadow AI

Employees use dozens of different GenAI tools in their daily operations, most of them unbeknownst to their IT teams. Key concerns are limited visibility, absence of governance, compliance risk, and data exposure.

IT

Data Privacy Risks

The risk of sensitive information disclosure has become increasingly significant in the era of Generative AI: whether it's employees exfiltrating company data to GenAI tools or LLM-based applications revealing sensitive data.

IT / AppSec / OWASP (LLM06)

Prompt Injection

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

AppSec / OWASP (llm01)

Indirect Prompt Injection

Indirect Prompt Injection occurs when a LLM processes input from external sources that are under the control of an attacker.

AppSec / IT / OWASP (llm01)

Toxic, Biased or Harmful Content

A jailbroken LLM behaving unpredictably can pose significant risks, potentially endangering an organization, its employees, or customers if it outputs toxic, biased or harmful content.

AppSec /IT / OWASP (llm09)

Denial of Wallet / Service

Denial of Wallet attacks, alongside Denial of Service, are critical security concerns where an attacker excessively engages with an LLM-based apps leading to substantial resource consumption.

AppSec / OWASP (llm04)

Jailbreak

Jailbreaking represents a category of prompt injection where an attacker overrides the original instructions of the LLM, deviating it from its intended behavior and established guidelines.

AppSec / OWASP (LLM01)

Legal Challenges

The emergence of GenAI technologies and the accompanying regulatory frameworks is raising substantial legal concerns within organizations.

AppSec / IT

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)

Brand Reputation Damage

The non-deterministic nature of LLMs poses significant risks to your brand reputation when exposing users to your GenAI apps.

AppSec / OWASP (LLM09)

Insecure Plugin Design

A potential attacker can construct a malicious request to an LLM plugin, which could result in a wide range of undesired behaviors, up to and including remote code execution.‍

AppSec / IT / OWASP (llm02, llm07)

Privilege Escalation

As organizations integrate LLMs with more and more tools within the organization, like databases, APIs, and code interpreters, the risk of privilege escalation increases.

AppSec / OWASP (LLM08)

Prompt Fuzzer

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Time to see for yourself

Learn why companies rely on Prompt Security to protect both their own GenAI applications as well as their employees' Shadow AI usage.