OWASP LLM TOP 10 ALIGNED

Secure AI applications without slowing innovation

Building with LLMs? Protect against prompt injection, data leakage, and AI-specific vulnerabilities. Get security controls that understand how AI applications work.

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90%

AI Vulns Detected

100%

OWASP LLM Coverage

False Positives on AI

AI applications face unique security risks

🤖 Traditional security tools miss AI vulnerabilities. SAST doesn't understand prompt injection or model manipulation.

🔓 New attack vectors emerge daily. Prompt injection, jailbreaking, and data extraction attacks target AI models directly.

📊 Sensitive data flows through LLMs. Customer data, proprietary information, and credentials can leak through model responses.

⚡ AI moves fast, security lags behind. Teams ship AI features without understanding the security implications.

Real AI security incidents

"Prompt injection attack bypassed our safety filters and extracted training data"

"LLM leaked customer PII through crafted conversation history"

"Adversarial input caused our AI to generate harmful content"

"RAG system exposed internal documents via injection attack"

AI security isn't optional anymore. 73% of AI applications have exploitable vulnerabilities.

Complete OWASP LLM Top 10 protection

VibeGuard is the first security platform with native support for all OWASP LLM Top 10 vulnerabilities

🎯

LLM01: Prompt Injection

Critical

Detect attempts to manipulate LLM behavior through crafted prompts that bypass safety controls.

Direct prompt injection detection

Indirect injection via data sources

Jailbreak attempt identification

⚠️

LLM02: Insecure Output Handling

High

Identify unsafe handling of LLM outputs that could lead to XSS, CSRF, or privilege escalation.

Output sanitization checks

Cross-site scripting prevention

Command injection via LLM output

💉

LLM03: Training Data Poisoning

Medium

Detect potential data poisoning attacks and validate training data integrity.

Training data validation

Adversarial example detection

Backdoor trigger identification

🔓

LLM06: Sensitive Data Disclosure

Critical

Prevent LLMs from accidentally exposing PII, credentials, or confidential information.

PII detection in responses

Credential exposure prevention

Training data extraction attacks

View All OWASP LLM Top 10 Coverage →

AI-native security features

Purpose-built security controls that understand how AI applications work

📚

RAG Pipeline Security

Secure your Retrieval-Augmented Generation systems from document injection to context manipulation attacks.

Document injection detection

Malicious documents in vector stores

Context window validation

Prevent context stuffing attacks

Retrieval access controls

Secure document access patterns

🔧

Function Calling Security

Protect your AI agents with secure function calling, parameter validation, and execution boundaries.

Function parameter validation

Type safety and bounds checking

Execution sandboxing

Isolated function execution

Permission boundaries

Limit function access scope

🧠

Model Security Monitoring

Monitor model behavior, detect adversarial inputs, and prevent model abuse in production environments.

Adversarial input detection

Malicious input patterns

Behavior drift monitoring

Detect model performance changes

Usage pattern analysis

Identify abuse and anomalies

🔐

Privacy Protection

Implement privacy-preserving AI with differential privacy, data anonymization, and PII scrubbing.

PII scrubbing

Remove sensitive data from prompts

Data anonymization

Preserve utility while protecting privacy

Retention controls

Automatic data deletion policies

Integrate security into your AI workflow

Security that works with your AI development process, not against it

Develop AI Features

Build with LangChain, LlamaIndex, or custom AI frameworks. VibeGuard understands them all.

AI Security Scan

Automatic detection of AI vulnerabilities in your code, prompts, and data flows.

Fix & Protect

Get AI-specific AutoPatch suggestions and implement runtime protection controls.

Monitor Production

Real-time monitoring of AI behavior, abuse detection, and privacy compliance.

Trusted by AI development teams

Leading AI companies use VibeGuard to secure their applications

AI Startup Founder

Series A, AI-powered platform

"VibeGuard caught a prompt injection vulnerability in our RAG system that could have leaked customer documents. Their AI security expertise is unmatched."

🛡️ Prevented data breach • ⚡ Integrated in 1 day

ML Engineering Lead

Fortune 500, Financial Services

"Finally, a security tool that understands LLMs. We reduced our AI security review time by 80% while catching vulnerabilities other tools missed."

📊 80% faster reviews • 🎯 Zero false positives on AI code

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