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Deep dive into Alignment and Alinia´s latest developments

Improved version of Alinia’s Security Guard

Introduction At Alinia, our mission is making interactions between humans and machines safer in the most critical scenarios and at scale. We pursue this goal in two complementary ways: through our no-code platform, which enables domain experts to configure controls around AI systems, and through proprietary compliance and security models designed to meet real regulatory

Alinia 2025 Year in Review: Building the Compliance Backbone for AI

Announcing a $7.5M seed round to scale AI responsibly, with humans in control

Powering compliance for High-Stake AI agents

Announcing a $7.5M seed round to scale AI responsibly, with humans in control

User Spotlight: How Engivio Secures Their AI Medical Assistant with Alinia Guard

Company: Engivio Product: Care Jane – AI Recovery Companion for Post-Knee Surgery Patients Industry: Healthcare AI The Challenge As a fast-moving healthcare startup with a top team, Engivio is building Care Jane, an AI companion designed to support patients recovering from knee surgery. While they have strong healthcare domain expertise, implementing robust safety, compliance, and security guardrails

Investment Guard: boosting compliance in AI-driven finance

Context AI assistants are rapidly entering sectors traditionally dominated by human experts —finance, law, and healthcare among them. In the financial space, AI-powered Wealth Assistants or Debt Managers have been gaining momentum and are now thriving with the genAI wave. The upside? Massive productivity and scale. A cryptocurrency exchange can now democratize financial knowledge and

Ensuring Safe and Effective AI Agents: A Deep Dive into Practical Applications and Guardrails

As AI agents become integral to personal finance management, understanding their capabilities and the inherent risks is more important than ever. This blog post builds upon our previous discussion on AI agent risks by diving into a practical demonstration of a personal banking assistant, showing how guardrails are crucial to ensure safety and compliance.

Understanding the New Risks of AI Agents: A Practical Guide for Organizations

AI agents are emerging as one of the most promising applications of large language models. Unlike traditional chatbots or copilots, agents are designed to operate autonomously within digital environments. They can decide, act, and interact with systems on behalf of users. This unlocks powerful use cases, but also introduces new categories of risks that organizations

Benchmarking Against Industry Leaders with Alinia RAG Guardrails

Alinia RAG Guardrails set a new standard in detecting hallucinations and irrelevance in Retrieval-Augmented Generation (RAG) applications. Our benchmarks demonstrate industry-leading performance across multiple languages, short-context scenarios, as well as domain-specific scenarios on public and high quality proprietary datasets. With significant improvements in detecting irrelevant responses and RAG-retrieved contexts, Alinia RAG Guardrails are the go-to

Alinia RAG Guardrails: Advancing Hallucination Detection in highly-regulated and multilingual settings

Retrieval-Augmented Generation (RAG) presents a powerful approach for integrating external knowledge into language models, however, its multi-step approach can complicate evaluation and monitoring by introducing challenges at various stages. Alinia RAG Guardrails, built on the RAG Triad framework, establish a new standard for detection accuracy and efficiency. The framework focuses on robust context retrieval, mitigating

The alignment question in the Age of DeepSeek

The conversation about AI alignment is more critical than ever. With DeepSeek revolutionizing the tech world, the question of aligning AI models to human values and preferences takes center stage. DeepSeek: A Paradigm Shift in AI DeepSeek’s recent breakthroughs challenge long-standing assumptions in AI development: Efficiency Over Compute: Until now, it was believed that achieving