GenAI Security is a security technology that analyzes both
user-entered prompts and AI-generated responses in real time,
proactively blocking malicious requests, sensitive data exposure, and
abnormal usage behavior.
By leveraging context-based analysis rather than simple keyword filtering,
it precisely detects and blocks LLM-specific attacks such as prompt injection,
model poisoning, and data leakage.
In addition, it records GenAI service usage activity as detailed logs to
support the establishment of AI compliance and governance frameworks.
GenAI Security is a security technology that analyzes both
user-entered prompts and AI-generated responses in real time,
proactively blocking malicious requests, sensitive data exposure, and
abnormal usage behavior.
By leveraging context-based analysis rather than simple keyword filtering,
it precisely detects and blocks LLM-specific attacks such as prompt injection,
model poisoning, and data leakage.
In addition, it records GenAI service usage activity as detailed logs to
support the establishment of AI compliance and governance frameworks.
Malicious Prompt Blocking
in real time such as prompt injection, model poisoning, and
instruction bypass attempts designed to manipulate generative AI.
Based on the OWASP Top 10 for LLM, it precisely identifies AI-specific attacks
to proactively prevent system malfunction and data contamination.
Malicious Prompt Blocking
in real time such as prompt injection, model poisoning, and
instruction bypass attempts designed to manipulate generative AI.
Based on the OWASP Top 10 for LLM, it precisely identifies AI-specific attacks
to proactively prevent system malfunction and data contamination.
Leakage Prevention (DLP)
corporate assets, such as documents, customer information, and source code,
through prompt inputs or file uploads.
This allows users to freely utilize generative AI while ensuring essential
business data remains securely protected.
Visibility & Governance
form of detailed logs, providing full visibility into organization-wide AI usage
and potential risks at a glance.
This proactively helps prevent AI misuse in advance and supports the
establishment of a management framework that aligns with AI compliance
requirements and internal security policies.
