When your enterprise deploys an AI chatbot, what does the security assessment actually cover?
Traditional Vulnerability Assessment and Penetration Testing (VAPT) was built for deterministic systems: fixed behaviour, predictable responses, code-enforced authority. It finds what it was designed to find. What it wasn’t designed to find is what happens when a language model is given the voice of your organisation’s voice, and the architecture around it doesn’t protect it.
AI chatbots carry a different kind of trust. Users don’t treat them with the scepticism they apply to emails. They treat them like customer service agents, following instructions, acting on confirmations, trusting the brand behind the interface.
That trust is the value proposition. It is also an attack surface that standard penetration testing frameworks do not reach.
This white paper documents a production AI chatbot assessment conducted against a major enterprise in the Asia-Pacific region: eight findings, two of them fully AI-native with no CVE identifiers and no automated detection methods. A direct account of what the gap between traditional VAPT and AI-native security testing looks like in practice.
Download the full white paper here: AI-Native Security Risks in Enterprise Chatbot Deployments
About THEOS Cyber
THEOS Cyber Solutions Offensive Security practice surfaces vulnerabilities before an attacker does, going beyond checklists to expose weaknesses that automated tools miss.
Our Vulnerability Assessment and Penetration Testing (VAPT) engagements identify weaknesses across your perimeter, internal networks, cloud, and web applications, prioritised by business impact.
Our Red Teaming operations replicate persistent threat actors to test how far an attacker could get and whether your team can detect and respond, revealing coverage gaps, detection blind spots, and response readiness. Every engagement delivers actionable reporting and practical steps to strengthen your security posture.
