AI risk management

Mar 20,2026

AGAT Software’s Pragatix Brings AI Adoption Intelligence to Enterprises

Most enterprise AI programs share the same blind spot: leadership knows employees are using AI, but nobody can tell whether it’s actually working. Licences for ChatGPT, Microsoft Copilot, and Google Gemini are being purchased at scale. Developer teams run GitHub Copilot and Cursor in their IDEs. Yet when executives ask “are we getting value from…

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Mar 03,2026

The Anthropic Ban: A Turning Point for Enterprise AI Sovereignty

The recent U.S. government ban on Anthropic is more than a procurement dispute — it is a defining moment in the evolution of enterprise AI governance. The government’s ban stems from a deep disagreement over how Anthropic’s AI could be used, especially in military and surveillance contexts. Because Anthropic refused…

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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…

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Feb 27,2026

Multi-Agent Systems in 2026: How Collaborative AI Workflows Are Changing Enterprise Operations

Explore how multi-agent systems enable collaborative AI workflows in 2026. Learn benefits, use cases, risks, and how enterprises can deploy them securely. What Are Multi-Agent Systems? Multi-agent systems are AI environments where multiple AI agents work together to complete tasks. Each agent has a specific role, skill, or responsibility. Instead of…

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Feb 20,2026

Automate Email Without Losing Control: Inside the Enterprise AI Email Auto-Responder

Automate inbound email with governed AI. The Pragatix AI Email Auto-Responder delivers contextual, secure, and compliant responses for enterprise customer support, sales, and operations. The Email Bottleneck No One Wants to Admit Email remains the backbone of enterprise communication. But manual email handling slows response times, increases operational overhead, and…

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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…

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Jan 26,2026

AI Regulation in 2026: What Businesses Need to Know About Risks and Realities

Discover AI regulation in 2026 and learn how businesses in regulated industries can adopt AI safely. Explore the top 5 AI risks, practical prevention strategies, and governance best practices to protect sensitive data, ensure compliance, and gain a competitive advantage. Companies in regulated industries have adopted AI. Some are completely…

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Jan 23,2026

AI‑Enabled DLP: What It Must Do to Be Effective

Learn how the expansion of data loss prevention (DLP) into AI‑aware controls addresses real enterprise risks, secures sensitive data in AI environments, and enables responsible AI adoption with modern governance and inspection techniques. In the last two years, the acceleration of generative AI usage has produced dramatic increases in sensitive…

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Jan 19,2026

AI Anomaly Detection: Catch Threats Before They Escalate

Explore how modern anomaly detection helps organizations spot unusual AI behavior, prevent misuse, and turn raw logs into meaningful security insight. Stop Chasing Alerts. Start Catching Real Threats. Traditional security tools flag everything. Your team drowns in alerts while real threats slip through unnoticed. Pragatix takes a different approach. Our AI…

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Jan 16,2026

AI Is Infrastructure. Time to Govern It

“If an enterprise treats AI as just another feature or tool, they will soon discover that behind the algorithms lies an infrastructure challenge, a governance challenge, and ultimately a business-risk challenge.” – Yoav Crombie, CEO Enterprises have spent decades perfecting how they protect, monitor, and govern their data centers. They built layers of…

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