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AI Chatbot Security

What happens when a chatbot spills secrets or follows a malicious prompt? One slip can expose data, break trust, and trigger compliance issues. Strobes AI Chatbot Security Testing runs controlled attack scenarios to reveal how your bots respond under pressure and where security gaps exist.

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Our Approach to AI Chatbot Security Testing

Chatbots are the new front door to your business, and attackers know it. Strobes AI Chatbot Security Testing puts every angle of conversational AI under pressure to expose risks before they cause damage.

Prompt Injection

Hidden instructions, multi-turn traps, and cross-language exploits are simulated to check if a chatbot can be manipulated into revealing sensitive data or misbehaving.

Session Security

Tokens, logins, and active chats are tested against leaks, tampering, and bypass attempts to uncover weaknesses in how sessions are created and maintained.

Output Safety

Responses are evaluated for malicious code, script injection, and unsafe content, ensuring chatbot outputs cannot be turned into attack vectors.

Memory & Context

Conversation history, context windows, and long-term memory are stressed for poisoning, manipulation, and corruption to expose deeper security risks.

Why Fortune 500 Companies Choose Strobes

Firewalls Don’t Speak AI

Firewalls block traffic, not logic. Malicious prompts, hidden instructions, and multi-turn traps bypass static rules and directly exploit chatbot reasoning.

WAFs Miss Chatbot Exploits

Web application firewalls were never designed for AI. They fail to detect prompt injections, cross-language bypasses, and chatbot-specific logic flaws.

Pentests Ignore Model Logic

Standard pentests target infrastructure, not intelligence. They miss poisoned training data, adversarial inputs, and memory corruption that destabilize AI models.

AI Needs AI-Native Testing

Generic tools can’t validate AI under stress. Only AI-specific testing reveals resilience against data leaks, prompt manipulation, and unsafe outputs.

Monitoring Stops at the Surface

SIEMs track network anomalies, not conversations. They overlook subtle manipulations inside chats where attackers bend AI behavior undetected.

Compliance Isn’t Coverage

Compliance Isn’t Coverage
Audit reports prove paperwork, not security. Regulations lag while untested AI chat flows expose sensitive data and mislead users in production.