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💬 Use Case

Secure Conversational AI

Protect your chatbots, virtual assistants, and customer service agents from manipulation, data leaks, and harmful outputs.

Conversational AI applications

BladeRun protects every type of conversational interface

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Customer Support Bots

AI agents handling customer inquiries, complaints, and service requests. Protect customer data and maintain brand voice.

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Sales Assistants

Conversational commerce and product recommendation engines. Prevent price manipulation and ensure accurate information.

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Healthcare Chatbots

Patient intake, symptom checkers, and appointment scheduling. Strict HIPAA compliance and PHI protection.

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Financial Advisors

Banking assistants and investment chatbots. Regulatory compliance and protection against financial advice liability.

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Education Tutors

AI tutoring and learning assistants. Age-appropriate content filtering and academic integrity protection.

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Internal Assistants

Employee-facing AI for HR, IT, and operations. Protect internal data and enforce access controls.

Threats to conversational AI

Attack vectors specific to chat interfaces

🎭 Social Engineering

Attackers use conversation to gradually manipulate the AI into revealing information or bypassing restrictions through seemingly innocent requests.

🔄 Context Manipulation

Exploiting multi-turn conversations to inject instructions or gradually shift the AI's behavior across message boundaries.

👤 Identity Spoofing

Claiming to be administrators, developers, or other authorized users to gain elevated access or bypass security measures.

📊 Data Harvesting

Using conversational interfaces to extract training data, system prompts, or information about other users and conversations.

How BladeRun protects conversations

End-to-end security for every message

1

User sends message

Customer types a message to your chatbot or virtual assistant

2

BladeRun scans input

Prompt injection detection, PII scanning, and content policy enforcement

3

Safe prompt to LLM

Sanitized request forwarded to your AI model with full audit logging

4

Response filtered

AI output scanned for data leaks, toxic content, and policy violations

5

Safe response delivered

Clean, compliant response sent to user with complete audit trail

Key capabilities

Purpose-built for conversational AI security

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Session Tracking

Monitor entire conversation sessions for evolving threats and context manipulation attempts.

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User Attribution

Track requests by user ID for rate limiting, abuse detection, and compliance reporting.

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Intent Detection

Identify malicious intent even when disguised as legitimate requests.

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Response Guardrails

Ensure AI stays on-topic and within defined boundaries for your use case.

Low Latency

Sub-10ms processing keeps conversations feeling natural and responsive.

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Multi-Language

Protect conversations in 50+ languages with native detection accuracy.

Secure your conversational AI

Deploy chatbots and assistants your customers can trust

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