Lakera Guard
Shares tags: trust, security & compliance, safety, guardrail escapes
The ultimate tool for scanning and safeguarding machine learning models against adversarial threats.
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overview
ModelScan is an innovative open-source tool designed to enhance the security of machine learning models. By detecting unsafe code and identifying guardrail bypass attempts, it empowers organizations to secure their AI models from adversarial threats.
features
Protect AI ModelScan is equipped with advanced features tailored for enterprise security and ML/AI engineering teams. It provides modular scanners, enabling users to customize settings that align with their organizational requirements.
use_cases
ModelScan serves diverse needs across organizations, particularly in securing model supply chains and ensuring compliance with security standards. It helps prevent credential and data theft while detecting potential model poisoning threats.
ModelScan supports various model formats, including H5, Pickle, and SavedModel, with plans for additional formats in the future.
ModelScan reads file content byte by byte, avoiding the execution of model code to prevent triggering any malicious payloads.
ModelScan is ideal for enterprise security teams and ML/AI engineering professionals focused on securing their models and maintaining compliance with security standards.