RAIDS: YOUR AI'S FIRST LINE OF DEFENSE
Monitor, Detect, and Safeguard AI
Monitor, Detect, and Safeguard AI
RAIDS (Rogue AI Detection System) is constantly evolving to lead the way in AI safety. With RAIDS, you can ensure your AI operates at its best and stays ahead of risks.
RAIDS detects rogue AI behavior in real time, helping you catch and resolve issues before they escalate—keeping your AI trustworthy, secure, and aligned with industry standards.
Starting with Large Language Models (LLMs), RAIDS plans to expand into sectors like Healthcare, Finance, and LegalTech.
Discover how RAIDS can protect your AI now.
RAIDS detects anomalies in real time to prevent emerging risks.
RAIDS spots even the smallest deviations in AI behavior.
RAIDS provides in-depth analysis and recommended actions.
RAIDS continuously improves based on your feedback
RAIDS grows with your AI, adapting to your needs.
RAIDS connects effortlessly to your existing AI systems.
RAIDS monitors your AI systems in real time, learning their normal behavior to spot anything unusual as it happens. It works quietly in the background, without altering your AI, and catches issues before they escalate. By learning from human feedback, RAIDS continuously improves, keeping your AI systems safe and secure.
Our intuitive dashboard gives you full control over AI safety:
Real-time AI performance tracking.
Immediate notifications with detailed context.
Step-by-step guidance to resolve risks.
Get complete visibility into your AI's performance.
RAIDS offers you tools to monitor, detect, and safeguard your AI systems across different industries.
RAIDS detects rogue behavior in LLMs to ensure AI safety.
While RAIDS initially focuses on transforming LLM safety monitoring, our R&D roadmap is set to expand thoughtfully into other sectors where AI safety is critical.
Detect fraud, prevent mismanagement, and ensure reliable risk assessments.
Safeguard AI-powered diagnostics and patient recommendations.
Maintain compliant, transparent AI-driven legal processes.
Monitor AI systems for unsafe outputs and rogue behavior.
Ensure accurate and relevant AI-driven recommendations.
Protect AI-powered customer interactions and fraud detection systems.
AI safety isn't optional—it's essential.
Join the future of AI safety by experiencing RAIDS in action. Our team will guide you through the platform, showing you how it detects anomalies, ensures security, and adapts to your needs.
Join the RAIDS Pilot Program to help shape AI safety. Test new tools, monitor AI systems, and provide feedback that drives development, ensuring safer AI across industries.
RAIDS employs deep learning models and anomaly detection techniques to establish and understand normal AI behavior patterns. It then continuously monitors for deviations, flagging potential risks such as performance anomalies, data misuse, or unexpected behaviors, ensuring you receive real-time alerts and actionable insights.
Initially focusing on Large Language Models (LLMs), RAIDS is expanding to sectors such as healthcare, finance, legal, retail, telecom, and technology. Our goal is to ensure AI systems across these industries operate safely and comply with relevant standards.
RAIDS stands out by specializing in real-time anomaly detection specifically for LLMs, providing unmatched precision in identifying rogue behaviors. Our system uniquely integrates advanced deep learning techniques with continuous human feedback to enhance monitoring effectiveness.
Have questions or need support? Our team is here to make your RAIDS experience smooth!