4 Reasons Why Machine Learning Monitoring is Essential for Models in Production
Machine learning (ML) is a field that sounds exciting to work in. Once you discover its capabilities, it gets even...
Aporia Labs Where AI Meets Human Intelligence
Aporia Labs is an elite team of AI and Cybersecurity experts that continuously research and develop new methods to detect and mitigate AI hallucinations and prompt attacks.
We Seek to Combat the Evolving Risks of AI
Our expertise spans RAG chatbots, talk-to-your-database capabilities, and specialized LLMs, as we develop innovative defenses against AI hallucinations and prompt attacks. Through Guardrails research, we ensure these advanced AI apps are secure, trustworthy, and resilient against emerging threats.
Hallucination Mitigation
Enabling enterprises to ship GenAI apps with continuously updated Guardrails.
Prompt Security
Fortifying your brand’s most guarded GenAI secret.
User & Company Privacy
Blocking PII data leakage, ensuring your AI app can be trusted with sensitive information and user privacy.
Agile & Enterprise Ready
Guardrails are designed to evolve with your GenAI and the new threats it faces when interacting with the real world.
Exploring AI's frontiers, we tackle hallucinations and AI security vulnerabilities, driving next-gen technology towards unprecedented alignment, reliability and safety."
Alon Gubkin, CTO and Head of Aporia Labs
Gain control over your GenAI apps with Aporia guardrails
Teams
Enterprise-wide Solution
Tackling these issues individually across different teams is inefficient and costly.
Aporia Labs
Continuous Improvement
Aporia Guardrails is constantly updating with the best hallucination and prompt injection policies.
specific use-cases
Use-Case Specialized
Aporia Guardrails includes specialized support for specific use-cases, including:
blackbox approach
Works with Any Model
The product utilizes a blackbox approach and works on the prompt/response level without needing access to the model internals.
Resources
5 reasons your ML model isn’t performing well in production
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9 ML observability alternatives to Arize AI – 2024
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