Pragatix

AI Security and Productivity: How Enterprises Can Achieve Both

Jul 01,2026

AI Security and Productivity: How Enterprises Can Achieve Both

AI Productivity Starts with AI Security Generative AI is changing the way organizations work. In the midst of it all, AI security and productivity are the pillars that AI adoption should stand on. Employees are using AI to summarize documents, generate content, analyze information, and automate everyday tasks. These capabilities are helping businesses…

Read the Article

Jun 29,2026

AI Data Security in the Workplace: Best Practices Every Enterprise Should Follow

Generative AI is rapidly changing how employees work. Hence, AI Data Security should be a part of every organisation’s cyber risk mitigation plans and training. From drafting emails and summarizing meetings to analyzing documents and automating routine tasks, AI is becoming embedded across the enterprise. While these tools improve productivity, they…

Read the Article

Jun 26,2026

Pragatix AI Gateway: The Missing Control Layer for Enterprise AI

As AI adoption accelerates, enterprises face growing challenges around visibility, governance, security, and rising AI costs. Pragatix AI Gateway provides a centralized control layer that enables organizations to monitor AI usage, optimize spending, enforce policies, and securely manage access to multiple AI providers through a single governed platform.

Read the Article

AI Tokenomics: The Missing Link Between AI Innovation and Cost Control

Jun 24,2026

AI Tokenomics: The Missing Link Between AI Innovation and Cost Control

As generative AI adoption accelerates, many organizations are discovering an uncomfortable reality: AI costs are becoming increasingly difficult to predict and control. AI tokenomics is emerging as a critical framework for understanding, measuring, and managing AI consumption. While industry efforts are underway to standardize token economics, organizations cannot afford to…

Read the Article

When AI Spending Spirals: The Hidden Cost of Uncontrolled AI Usage

Jun 22,2026

When AI Spending Spirals: The Hidden Cost of Uncontrolled AI Usage

Generative AI promises unprecedented productivity gains, but without proper controls, costs can escalate rapidly. Recent reports of an organization allegedly accumulating hundreds of millions of dollars in AI-related expenses highlight a growing reality: enterprises need visibility, governance, and usage controls to ensure AI delivers value without creating financial or operational…

Read the Article

Mar 10,2026

Bridging AI Automation and human Expertise

As enterprises deploy AI assistants to support customers, employees, and internal workflows, automation is rapidly transforming how organizations operate. AI can answer questions instantly, search knowledge bases, summarize information, and automate routine support tasks at scale. But even the most advanced AI systems occasionally reach a point where they cannot…

Read the Article

Feb 27,2026

Enterprise AI Compliance With On-Prem Models

Learn how enterprises secure on-prem AI models by applying the governance, oversight, and control layers required for compliant AI operations. Explore the security, risk, and data protection measures needed to run private AI responsibly. A Story Every Enterprise Leader Recognizes Across many regulated industries, namely finance, healthcare, government, and technology, executive teams are facing the…

Read the Article

Feb 20,2026

How Retrieval-Augmented Generation (RAG) Supports AI Governance & Risk Management

How retrieval-augmented generation (RAG) reduces risk, enhances governance, improves auditability, and strengthens enterprise AI security posture. Why Enterprise Boards Are Cautious About Public LLMs Large enterprises face growing pressure to integrate AI responsibly while maintaining compliance and reducing risk. Public LLMs bring promise but also significant challenges: These risks are particularly concerning for regulated…

Read the Article

Feb 10,2026

Building Private AI Workflows Without Compromising Security

Learn how to build private AI workflows without compromising security. A practical guide for enterprises managing sensitive data, compliance, and AI risk. Why Private AI Workflows Are Becoming a Priority As artificial intelligence becomes part of daily business operations, many organizations face a difficult balance. They want the productivity and…

Read the Article

Feb 02,2026

Beyond “Don’t Hallucinate”: Engineering True Fidelity in RAG Systems

As we build increasingly sophisticated RAG (Retrieval-Augmented Generation) systems, we encounter a persistent challenge: ensuring the AI stays true to its source material. It’s a common misconception that simply instructing a Large Language Model (LLM) to “answer based only on the provided context” is sufficient. In reality, preventing hallucinations and ensuring high-fidelity answers requires robust engineering mechanisms, not…

Read the Article

AI Security and Productivity: How Enterprises Can Achieve Both

AI Data Security in the Workplace: Best Practices Every Enterprise Should Follow

Pragatix AI Gateway: The Missing Control Layer for Enterprise AI

AI Tokenomics: The Missing Link Between AI Innovation and Cost Control

When AI Spending Spirals: The Hidden Cost of Uncontrolled AI Usage

Bridging AI Automation and human Expertise

Enterprise AI Compliance With On-Prem Models

How Retrieval-Augmented Generation (RAG) Supports AI Governance & Risk Management

Building Private AI Workflows Without Compromising Security

Beyond “Don’t Hallucinate”: Engineering True Fidelity in RAG Systems

AI Security and Productivity: How Enterprises Can Achieve Both

Barriers to AI Success – What Organisations Need to Fix It

What’s Really Slowing Enterprise AI Adoption?

AI-Driven Attacks Are Here – What CISOs Must Do Now

Why Enterprises Need AI Usage Monitoring and AI Governance

Ready to scale your enterprise?

Pragatix

Ready to scale your enterprise?

Create your account

Log in to Your Account