Financial Services Case Study
Background
Positioned as a pioneer in domestic AI large-model adoption, the
client
embraced these
technologies to unlock new business opportunities.
Yet,
with innovation came
unavoidable security challenges that needed to be
addressed.
-
Prompt Injection & Content Security Risks
Malicious users might inject specific prompts to induce the model to output sensitive or non-compliant information. -
Compliance Risks
Regulatory authorities closely oversee the use of large models in financial institutions; non-compliance can restrict usage and even result in penalties. -
Topic Control Requirements
Financial institutions must enforce strict topics restrictions in large model applications to avoid irrelevant or inappropriate queries.
Solution
Security & Compliance
A Large AI Model Application Firewall was deployed to effectively block prompt injection attacks and content security risks, while ensuring alignment with regulatory requirements.
Topic Control
The firewall restricts the input and output scope of the large model, enabling stable, compliant, and business-ready operations.
Results
-
Effective Risk Identification & Interception: Delivered robust capabilities to detect and block security threats.
-
Industry-Leading Multimodal Detection: Provided advanced multi-modal detection for comprehensive risk coverage.
-
Precise Topic Control: Enabled precise control over permitted topics, preventing irrelevant or risky interactions.
