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Key Facts
- Ensure model integrity Guarantee validity of pretrained models
- Identify malicious injection Gain insights into model vulnerabilities
- Mitigate risks effectively and maintain a secure ML operational environment.
Categories
Application security Big data Security Cloud (computing) security Vulnerability and patch management Security management Anti-virus and malware protection Data protection, data security User (rights) management Consulting IT security Artificial intelligence
Product information
Open-source model-sharing repositories have been born out of inherent data sciencecomplexity, practitioner shortage & the limitless potential & value they provide toorganizations – dramatically reducing the time & effort required for AI adoption.However, such repositories often lack comprehensive security controls, which ultimatelypasses the risk on to the end user – & attackers are counting on it. The scarcity of security around AI models,coupled with the increasingly sensitive data that AI models are exposed to, means that model hijacking attacks evadetraditional security solutions & have a high propensity for damage.HiddenLayer Model Scanner analyzes Artificial Intelligence Models to identify hidden cybersecurity risks &am ...
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