Agent Security & Compliance
Build and deploy AI agents with robust security controls built-in
DATA LEAKAGE
Safeguard sensitive data
- Detect sensitive data sent to Agents or through a connected model
- Detect secrets such as credentials and tokens not suitable for usage
- Choose from 100+ data elements out-of-the-box or create your own custom detectors
- Configure policies to detect violations and maintain a full audit trail
MODEL LIFECYCLE MANAGEMENT
Ensure security and proper usage
- Create approval stages across stakeholders before models can be deployed
- Control where and how each model is accessed and deployed across use cases, business units, and more
- Monitor LLM token costs to detect abnormalities that might be malicious excessive use
PROMPT INJECTION
Guard against malicious inputs
- Detect inputs trying to manipulate the model into generating harmful or unauthorized responses
- Set detection alert confidence levels based on your organization’s risk appetite
CONTINUITY & MANAGEMENT
Keep agents online
- Maintain full visibility across agents with detailed audit log reports
- Ensure Agent failover by switching application pipelines if or when an LLM goes offline
- Leverage Airia DDoS infrastructure to manage direct attacks on Agents
Check out more resources
Video
Highlights from OpenAI DevDay 2024: Key Announcements
October 24, 2024
Explore the latest innovations and announcements from OpenAI DevDay 2024. This video covers new tools, product updates, and insights into the future of AI development shared during the event.
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