LLM01: Prompt Injection Protection
Blocks malicious prompts that try to manipulate the AI's behavior or override system instructions.
LLM02: Sensitive Information Disclosure
Automatically detects and removes personal information, credentials, and confidential data from AI responses.
LLM03: Supply Chain Security
Verifies AI models come from trusted sources and scans dependencies for vulnerabilities.
LLM04: Data and Model Poisoning Prevention
Monitors for corrupted training data or model tampering that could affect AI accuracy or security.
LLM05: Improper Output Handling
Validates and sanitizes all AI outputs to prevent security exploits like code injection or XSS attacks.
LLM06: Excessive Agency Controls
Limits AI actions to approved scope and requires human oversight for critical decisions.
LLM07: System Prompt Leakage Prevention
Prevents internal system instructions from being exposed in AI responses.
LLM08: Vector and Embedding Security
Protects knowledge bases and vector stores from unauthorized access or data exposure.
LLM09: Misinformation Prevention
Detects and flags false or misleading information in AI-generated content.
LLM10: Unbounded Consumption Protection
Enforces rate limits and usage quotas to prevent resource exhaustion or denial-of-service attacks.
Customer Data Usage for Training
Customer data is not used to train AI models. All training is done using publicly available or proprietary datasets.
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