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Comprehensive assessment of LLM vulnerabilities and automatic application of optimal defensive techniques to Generative AI on LLMs
Challenges
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The number of new attacks against generative AI is increasing and numerous real-world attack examples are being reported.
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New attack methods are emerging one after another and it is difficult to implement countermeasures due to a shortage of experts.
The benefits of LLM Vulnerability Scanner and Guardrails
Enables even non-experts to operate generative AI securely
Comprehensive investigation of LLM vulnerabilities (LLM Vulnerability Scanner)
- Supports over 7,700 vulnerabilities. (industry-leading)
- Assess the potential defensive capabilities against new attacks by evaluating not only simple attacks but also complex ones.
Automatically addresses vulnerabilities (LLM Guardrails)
- Automatically defends against attacks by applying rules generated based on the investigation results (vulnerability information) to the generative AI system.
Features of the technology
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Automatically generates check rules for detected vulnerabilities through the integration of scanners and guardrails, as well as applying LLM guardrails.
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A first in industry complete approach to scanner technology, combining proprietary technology and OSS.(Developed in joint research with Ben-Gurion University to be the first in the industry to address threats from attacks that are difficult to analyze)
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