AI Risk Management

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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Jan 14,2026

The Modern IT Reality: Too Many Tools, Not Enough Control

AI is now embedded across SaaS platforms and infrastructure layers, creating governance blind spots that slow modernization, increase complexity, and undermine centralized IT control. Most global IT organizations are running more tools than they can effectively govern. According to InformationWeek, many enterprises now operate “5 to 10 tools per function,” with large…

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Jan 12,2026

Why Enterprise AI Spending Is Rapidly Accelerating Toward 2029

Enterprise AI spending is accelerating toward 2029 as organizations move beyond pilots into large-scale deployment. Learn what is driving the surge, the rise of the Intelligence Super Cycle, and how leaders must rethink AI strategy, governance, and data to stay competitive. Enterprise AI spending is projected to surge through 2029…

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Jan 09,2026

AGAT Recognized in Gartner’s Data Loss Prevention Vendor Landscape

AGAT Software has been recognized in Gartner’s DLP vendor category.

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Dec 19,2025

Why Most Enterprise AI POCs Fail

And How Organizations Can Transition From Fragmented Use Cases to Measurable Outcomes Most AI proofs of concept fail because enterprises rely on fragmented use cases, weak data foundations, and outdated operating models. This article explains why POCs rarely scale and how organizations can shift from isolated experimentation to measurable, enterprise-wide AI outcomes. …

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Dec 17,2025

Private AI deployment with Mistral Explained: Governance, risk, and enterprise security requirements

Deploy private AI with confidence. Learn how Pragatix supports secure Mistral AI deployments with governance, compliance, auditability, and full enterprise data control. Enterprises across finance, healthcare, and the public sector are accelerating adoption of private AI as a response to rising regulatory pressure and growing concerns around uncontrolled data exposure …

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Dec 11,2025

How AI Agents Transform Task Automation in Regulated Environments

Regulated organizations face a growing challenge: operationalizing AI without compromising compliance, security, or privacy. Frameworks such as GDPR, HIPAA, SOC 2, and ISO 27001 impose strict governance requirements, while shadow AI risks and data leakage concerns create further obstacles. For C-suite executives, CISOs, and compliance officers, balancing innovation with control is critical. …

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Dec 01,2025

Why AI Firewalls Are Critical for Enterprise Security

Explore why enterprises must treat AI interactions as a new perimeter. This guide shows how AI firewalls, integrated architectures and governance frameworks protect your business from increasing AI risks. In the era of generative AI and large-language models (LLMs), enterprise leaders must rethink what “security perimeter” means. Traditional network boundaries no longer…

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