AI Voice Agent Penetration Testing
Find vulnerabilities in your voice AI systems before attackers do. Our team combines deep software development expertise with advanced penetration testing to secure your voice agents.
Comprehensive Voice AI Security Testing
Our testing methodology aligns with the OWASP Top 10 for LLM Applications, adapted specifically for voice AI attack surfaces.
OWASP LLM Top 10 Coverage
View OWASP LLM Top 10Prompt Injection
Test for direct and indirect prompt injection attacks that manipulate your AI into bypassing safety measures or leaking data.
Sensitive Information Disclosure
Verify your agent doesn't leak training data, PII, credentials, or other sensitive information through conversation.
Supply Chain
Assess risks from third-party models, plugins, and dependencies that could introduce vulnerabilities into your system.
Data and Model Poisoning
Evaluate whether training data or fine-tuning processes could be compromised to alter model behavior.
Improper Output Handling
Test for insufficient validation of LLM outputs that could lead to XSS, SSRF, or code execution vulnerabilities.
Excessive Agency
Test whether attackers can trick your AI into performing unauthorized actions like account changes or data access.
System Prompt Leakage
Attempt to extract your system prompts, internal instructions, and confidential configurations.
Vector and Embedding Weaknesses
Identify vulnerabilities in RAG systems where attackers could manipulate retrieved context or poison embeddings.
Misinformation
Assess your agent's susceptibility to generating false or misleading information that could harm users.
Unbounded Consumption
Test for denial of service vectors where attackers could exhaust resources through excessive token usage.
We also test for voice-specific attack vectors like authentication bypass, caller impersonation, and IVR exploitation.
How We Test
Realistic Social Engineering
Our tests use dynamic caller personas with complete backstories, emotional states, and contextual details. We simulate how real attackers actually operate.
Adaptive Attack Strategies
Our AI-powered testing learns from each interaction and adapts in real-time. It finds vulnerabilities that scripted tests miss.
Edge Case Fuzzing
Systematic testing with boundary inputs, malformed data, and adversarial payloads to find input handling weaknesses.
Full Evidence Collection
Every test produces complete transcripts, audio recordings, and timestamps. Clear evidence for your security team.
Flexible Testing to Fit Your Needs
Whether you need a one-time assessment or ongoing security support, we have an engagement model that fits.
Point-in-Time Assessment
Single Engagement
A comprehensive security assessment of your voice AI application at a specific point in time. Ideal for pre-launch security validation or periodic security audits.
- Full security assessment of your voice agent
- Multiple attack vector testing
- Detailed vulnerability report
- Remediation recommendations
- Executive summary for stakeholders
- Retest after fixes (within 30 days)
Ongoing Security Partnership
Continuous Monitoring
Embed security testing into your development lifecycle. We continuously test your voice agent as you build and deploy new features, catching vulnerabilities before they reach production.
- Ongoing security testing throughout development
- Integration with your CI/CD pipeline
- Immediate alerts for critical findings
- Regular security status reports
- Priority support and consultation
- Dedicated security advisor
Security Experts Who Speak Your Language
We're not just penetration testers — we're software developers who understand your project from the inside out. Our recommendations are always practical, code-level, and specific to your application.
Developers Who Pentest
Our team members are software developers first. We understand your codebase, your architecture, and your constraints. Our recommendations are practical and implementable.
Application-Specific Guidance
No generic security checklists. Every recommendation is tailored to your specific application, tech stack, and business requirements.
Advanced AI-Powered Testing
Our RedCaller framework uses AI to adapt attacks in real-time, finding vulnerabilities that scripted tests miss. It's like having a team of expert social engineers on every call.
Full Security Suite
Voice AI testing is just one of our capabilities. We offer comprehensive penetration testing across web, mobile, network, cloud, and social engineering vectors.
Ready to Secure Your Voice AI?
Tell us about your project and we'll provide a customized security assessment proposal.