Your team is using AI chatbots. Do you know which ones are leaking your data?

Over the last two years, chatbots have gone from side projects to critical interfaces for customers, employees, and systems of record. At the same time, attackers have learned to treat them not as toys but as serious entry points into data and infrastructure. In February 2026, a popular AI chat app leaked about 300 million messages from more than 25 million users due to a misconfigured Firebase database.

The truth is, many organizations are unknowingly exposing themselves by deploying insecure AI chatbots that translate natural language straight into SQL or privileged API calls against production data, or by letting employees paste sensitive source code, contracts, and client data into consumer accounts.

Prepared by the Paramount AI Security Team, this guide strips away the careless practices to show you exactly which high-risk chatbot patterns you need to avoid.

Download the guide today to discover:

• The High-Risk Chatbot Patterns: Why public consumer chatbots, unvetted “all-in-one” apps, and ungated shadow AI tools expose your data.
• OWASP LLM & Agent Risks in Practice: How prompt injection, sensitive information disclosure, and excessive agency allow attackers to hijack systems.
• Role-Specific Hardening Playbooks: Actionable checklists for developers, QA engineering/SDETs, architects, and business teams to secure their deployments.

Don’t wait for a data leak to find out your system is compromised. Run the quick, 7-question internal assessment checklist inside: if you answer “Yes” to three or more of the questions, you have a chatbot that should not be used in its current form for sensitive or production workloads