StackHawk


Sign In
M

Get A Demo

Name(Required)
Email(Required)
Get a Demo

LLM Security Testing Built Into Your AppSec Workflow

Identify prompt injection, sensitive data leaks, and output handling flaws before they reach production. StackHawk tests applications against common LLM risks as part of our runtime testing integrated into your CI/CD workflow.

M

Talk to an Expert!

Name(Required)
Get a Demo
FinTech API Security Icon Image

LLM Security Risks Are Application Security Risks

Developers are embedding LLM capabilities directly into applications faster than security teams can track them. These aren’t bolt-on features—they’re deeply integrated into application logic that only runtime testing can detect. You don’t need a separate tool to manage; you need LLM test coverage built into your existing AppSec workflow.

Runtime Testing Finds Real LLM Risks

You can’t find prompt injection by reading source code—you need to test how applications behave when attackers manipulate prompts and whether proper validation exists. StackHawk tests the actual runtime behavior of your application in your pre-production environment.

Native Integration, Not Another Tool

LLM security testing runs alongside your existing StackHawk scans in CI/CD. Findings are surfaced directly to developers with the same context and remediation guidance they expect—no separate platform to manage.

Developer Education While Code Is Fresh

When developers see prompt injection findings with working proof-of-concept exploits, they learn to build secure LLM integrations from the start. You’re not just catching vulnerabilities—you’re future-proofing your AppSec program.

Five Critical OWASP LLM Top 10 Vulnerabilities Detected

StackHawk automatically uncovers all the LLM risks that are relevant to application development using specialized attack patterns during runtime testing. No configuration required—if your application has LLM integrations, we automatically test for relevant vulnerabilities.

LLM01: Prompt Injection

Detects when attackers can manipulate prompts to override system instructions, bypass safety controls, or extract other customers’ data through crafted inputs.

LLM02: Sensitive Data Disclosure

Identifies when LLMs leak customer PII, API keys, internal system details, or proprietary business logic through responses to carefully constructed prompts.

LLM05: Improper Output Handling

Catches vulnerabilities where unvalidated LLM outputs get used in SQL queries, system commands, or API calls—turning the LLM into an injection attack vector.

LLM07: System Prompt Leakage

Finds when attackers can extract system instructions, hidden prompts, or internal configuration, providing a roadmap for sophisticated attacks.

LLM10: Unbound Consumption

Detects missing rate limits or resource controls that allow attackers to rack up API costs or create denial-of-service conditions.

Learn More About LLM Security Risks

Explore the complete OWASP LLM Top 10 and learn why these risks require a different approach than traditional AppSec testing.

Read the Blog

Start Testing for LLM Risks Today

See how StackHawk enables security teams to stay ahead of AI-accelerated development with comprehensive LLM vulnerability testing built into developer workflows.

M

Talk to an Expert!

Name(Required)
Get a Demo