Is My AI App Secure? How to Test AI Apps for Vulnerabilities
Complete guide to testing your AI application for security vulnerabilities. Scan for prompt injection, PII leakage, tool abuse, RAG poisoning, and more — then generate audit-ready compliance evidence.
Why You Need to Test Your AI App
AI applications introduce new attack surfaces that traditional security testing doesn't cover. Prompt injection can override your system instructions. PII leakage can expose user data. Tool abuse can let attackers execute unauthorized actions through your AI agent.
If you're shipping an AI app — whether it's a chatbot, voice agent, RAG system, or custom AI workflow — you need to test it against adversarial attacks before your users (or attackers) find the vulnerabilities. HAIEC automates this testing and generates the compliance evidence your auditor needs.
What HAIEC Tests For
Prompt Injection
CriticalMalicious inputs that override your AI system instructions
PII Leakage
CriticalAI app exposes sensitive user data in responses
Tool Abuse
HighAI agent executes unauthorized tool calls or actions
RAG Poisoning
HighAttacker injects malicious content into your retrieval pipeline
Multi-Turn Manipulation
HighAttacker manipulates AI across multiple conversation turns
Model DoS
MediumInputs designed to exhaust token limits or crash the model
Insecure Output Handling
MediumAI output used in downstream systems without sanitization
Excessive Agency
MediumAI agent has more permissions than needed for its task
Step-by-Step: Test Your AI App (10 Minutes)
Step 1: Create Your HAIEC Account
1 minSign up for free at haiec.com. No credit card required. You get immediate access to the AI security scanner and runtime testing engine.
Tip: Use your work email to get a dedicated workspace for your team.
Step 2: Connect Your AI App
2 minProvide your AI app endpoint URL, webhook URL, or repository URL. HAIEC supports LLMs, voice agents, chatbots, RAG systems, and custom AI workflows.
Tip: If your app is behind auth, provide a test API key. HAIEC never stores your production keys.
Step 3: Run a Static Security Scan
2 minHAIEC scans your code and configuration for prompt injection risks, hardcoded secrets, missing input validation, and PII exposure patterns. Results include severity ratings and remediation steps.
Tip: Static scans catch issues before deployment. Run them on every PR via CI/CD integration.
Step 4: Run a Runtime Security Test
3 minHAIEC Runtime Engine sends adversarial inputs to your live AI app — prompt injection, multi-turn manipulation, RAG poisoning, tool abuse, and PII extraction attempts. See exactly how your app responds.
Tip: Runtime testing reveals issues static scans cannot — like multi-turn manipulation that only works across a conversation.
Step 5: Review Findings & Remediate
2 minEach finding includes severity (CRITICAL/HIGH/MEDIUM/LOW), attack description, evidence, and specific remediation steps. Fix the issues in your code.
Tip: Start with CRITICAL and HIGH findings. These are the ones that can leak PII or let attackers execute unauthorized actions.
Step 6: Generate Compliance Evidence
1 minHAIEC generates SHA-256 signed evidence artifacts mapped to SOC 2, HIPAA, EU AI Act, and ISO 27001 frameworks. Hand these to your auditor or compliance team.
Tip: Evidence artifacts are timestamped and signed. They prove to auditors that you tested your AI app and addressed findings.
For Developers: Automate with the SDK & CI/CD
Don't just scan once — integrate security testing into your development workflow:
- SDK — Install the HAIEC SDK (Node.js or Python) to scan your AI app programmatically
- CI/CD — GitHub Action, GitLab CI, and Jenkins integration. Scan on every PR.
- API — Full REST API for programmatic scanning, evidence retrieval, and baseline tracking
- Compliance evidence — SHA-256 signed artifacts for SOC 2, HIPAA, EU AI Act, ISO 27001
Common AI Security Mistakes
Trusting LLM output without validation — AI responses can contain injection payloads for downstream systems
Giving AI agents too many tool permissions — only grant the minimum tools needed for the task
Not testing multi-turn conversations — many attacks only work across multiple messages
Skipping security scanning before deployment — test every release, not just the first one
Not generating compliance evidence — if you're in healthcare, finance, or regulated industries, you need audit-ready proof
Hardcoding API keys in prompts or system messages — scan for secrets in your AI configuration
Frequently Asked Questions
How do I know if my AI app is secure?
Run an AI security scan with HAIEC. The scanner tests your AI app against prompt injection, PII leakage, tool abuse, RAG poisoning, and multi-turn manipulation attacks. You get a severity-rated report with remediation steps for each finding. Most scans complete in under 5 minutes.
What security vulnerabilities should I test my AI app for?
The OWASP LLM Top 10 covers the main categories: prompt injection, insecure output handling, training data poisoning, model DoS, supply chain vulnerabilities, sensitive information disclosure, insecure plugin design, excessive agency, overreliance, and model theft. HAIEC tests for all of these plus telephony-specific attacks for voice AI apps.
Can I test my AI app for free?
Yes. HAIEC offers free security scans. Create an account, connect your AI app endpoint or repository, and run a scan. You get a full vulnerability report with severity ratings and remediation steps at no cost.
Does HAIEC generate compliance evidence for auditors?
Yes. After each scan, HAIEC generates SHA-256 signed evidence artifacts mapped to SOC 2, HIPAA, EU AI Act, and ISO 27001 control frameworks. You can download these and provide them directly to your auditor or compliance team.
Can I integrate AI security scanning into my CI/CD pipeline?
Yes. HAIEC provides a GitHub Action, GitLab CI template, and Jenkins integration. Every PR can trigger a security scan on your AI app, with results posted as PR comments. You can gate deployments on scan results.
What types of AI apps can HAIEC test?
HAIEC tests any AI application that uses LLMs: chatbots, voice agents, RAG systems, AI agents with tool access, custom GPT wrappers, and enterprise AI workflows. If your app sends prompts to an LLM and returns responses, HAIEC can test it.
Ready to Test Your AI App?
Start free. No credit card. Results in 10 minutes.