Vercel AI SDK Security Audits

Overview

AI models are inherently unpredictable. If your Vercel AI SDK implementation grants agents access to sensitive databases or user accounts, a single hallucination or malicious prompt could be catastrophic.

Our Vercel AI SDK Security Audits provide a comprehensive review of your AI architecture. We identify vulnerabilities in your tool scoping, authorization layers, and prompt structures, providing concrete fixes to secure your application.

Key Capabilities

1. Tool Scope Analysis
   We review your agent tools to ensure they follow the principle of least privilege, preventing models from executing unintended destructive actions.

2. Approval Workflow Implementation
   We verify or implement human-in-the-loop safeguards using the SDK's native HMAC-signed requiresApproval feature for high-risk operations.

3. Prompt Injection Defense
   We test your system prompts and input sanitization against known jailbreak techniques to minimize the risk of malicious user overrides.

Why Partner With Us?

• SDK-Specific Knowledge: We know exactly how the Vercel AI SDK handles state, tool execution, and context windows, allowing us to find framework-specific flaws.
• Actionable Reporting: We don't just hand you a list of risks. We provide the exact TypeScript code needed to patch the vulnerabilities.
• Production Confidence: We help you ship agentic features to production without losing sleep over what the LLM might decide to do.

Don't wait for a data breach. Let us secure your AI architecture.