Build Safer LLM-Powered Applications
OverseerAI is an AI firewall API that allows developers to flag unwanted AI responses based on custom, user-defined policies and the MLCommons hazard taxonomy. Build safer and more responsible LLM applications with confidence.
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The Challenge
Large language models (LLMs) are revolutionizing how we interact with technology, powering applications from chatbots and virtual assistants to content creation tools and code generators. However, the rapid adoption of LLMs has also raised significant safety and ethical concerns that developers must address.
Companies are struggling with ensuring their LLM applications are safe, ethical, and compliant with emerging regulations while maintaining functionality and performance. The risks range from generating harmful content to potential security vulnerabilities that could compromise user data and system integrity.
"LLMs can generate harmful or biased content, spread misinformation, and even be exploited for malicious purposes. Developers need tools and solutions that can help them build safer and more responsible LLM-powered applications."
Key Challenges
Harmful Content Generation
LLMs can generate outputs that are offensive, toxic, or promote violence, hate speech, self-harm instructions, and extremism.
Bias and Privacy Concerns
LLMs can perpetuate biases, discriminate unfairly, and potentially reveal sensitive information or be exploited to extract private data.
Security Vulnerabilities
LLMs are susceptible to attacks like data poisoning, prompt injection, and jailbreaking, which can compromise application and user data security.
Misinformation Risk
LLMs can generate false or misleading information, leading to the spread of misinformation and potential manipulation of users.
Why Choose Overseer
Superior Performance
OverseerAI provides comprehensive analysis of LLM responses using advanced NLP techniques and machine learning algorithms trained on the MLCommons hazard taxonomy.
- Real-time response analysis
- Custom policy enforcement
- Actionable safety insights
Comprehensive Protection
Our AI firewall protects against all 13 categories in the MLCommons hazard taxonomy, ensuring comprehensive coverage of potential risks.
- Harmful content detection
- Bias and discrimination prevention
- Privacy protection measures
Enterprise Ready
Built for enterprise needs with robust security features and compliance with emerging AI regulations.
- Customizable safety policies
- Detailed audit logging
- Regulatory compliance support
MLCommons Hazard Taxonomy
OverseerAI implements the complete MLCommons hazard taxonomy, providing comprehensive protection against 13 categories of AI safety risks.
Violence & Crime
- • Violent crimes and physical harm
- • Non-violent criminal activities
- • Sex-related crimes
- • Child exploitation prevention
Weapons & Harm
- • Indiscriminate weapons
- • CBRNE materials
- • Suicide and self-harm
- • Environmental damage
Social Harm
- • Hate speech and discrimination
- • Harassment and bullying
- • Privacy violations
- • Abuse of power
Information Integrity
- • Misinformation detection
- • Fact verification
- • Source credibility
- • Content manipulation
Continuous Improvement
Our implementation of the MLCommons taxonomy is continuously updated to reflect the latest research and emerging threats in AI safety. We work closely with the AI safety community to ensure our protection remains state-of-the-art.
Ready to Get Started?
Start building safer AI applications today with our comprehensive solution