AutoAlign Blog

Explore the current state of AI in 2025, from generative AI transforming manufacturing to multimodal systems enabling complex analysis and AI agents revolutionizing workflows. Stay ahead in the evolving AI landscape.

Discover how AutoAlign’s Sidecar Pro outperforms other guardrail frameworks in AI safety. The BELLS project reveals Sidecar's top-tier alignment controls for improved security, fairness, and robustness in generative AI, helping prevent bias, data leaks, and other vulnerabilities in real-world applications.

Discover how AutoAlign translates any enterprise's AI safety requirements into robust Alignment Controls in Sidecar Pro.

AutoAlign addresses how LLaMA 3.1 is the Leader in Enterprise AI

Ensuring large language models (LLMs) provide accurate, reliable information, AutoAlign unveiled Knowledge Bases. 

Discover NeMo Guardrails by NVIDIA, a leading tool for AI safety and security, combined with AutoAlign's Sidecar for dynamic interaction and enhanced protection. Prevent hallucinations, mitigate AI bias, and secure your generative AI applications with explainable artificial intelligence and robust machine learning solutions. Learn more about how to safeguard your enterprise LLMs with advanced AI access control and cybersecurity measures.

Sidecar, the first dynamic firewall security that protects against major generative AI shortcomings. Sidecar is an adjacent rail structure that leverages highly contextual Alignment Controls and seamlessly moves from model to model, and/or across use cases.

AutoAlign CEO and co-founder Dan Adamson explores if foundation model providers should project their own behavior definitions, or if users should have the final say in how these models operate.

To manage data privacy in AI systems, companies need robust Data Loss Prevention (DLP) strategies. AutoAlign Sidecar offers essential tools for protecting sensitive data, preventing leaks, and ensuring regulatory compliance. With over 40 years of AI expertise, AutoAlign enhances DLP measures to safeguard data and maintain customer trust in an AI-driven world.

Dan Adamson explores how Microsoft Bing has begun to incorporate Open AI's LLM and what it means for the future of search engines.