Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Shadow IT vs Shadow AI: What's the Difference?

Imagine a customer service representative at your organization uploads sensitive customer data into an AI tool to draft emails more quickly. When an employee uses an AI tool without IT approval, it is known as shadow AI, and such scenarios are becoming increasingly common. Among employees who use AI at work, 78% report using tools that have not been formally approved by their organization, according to Microsoft’s 2024 Work Trend Index.

Falcon Shield: ChatGPT Enterprise Compliance API

Learn more about how CrowdStrike's has expanded its ChatGPT Enterprise integration to deliver deeper audit logging and continuous activity monitoring within CrowdStrike Falcon Shield SaaS security. This expansion enables monitoring of authentication activity, administrative changes, tool usage, Codex events, and conversation-level logs across ChatGPT Enterprise workspaces. Subscribe and stay updated!

By AI, With AI, For AI: Building IT services in the AI-first era

MSPs want to grow. Yet the cost of growth keeps eating the margin that extra growth was supposed to deliver. Traditionally, more customers means more endpoints, more tools, more alerts, more billing entities, more compliance frameworks. Headcount scales with the work, but margins don't seem to keep up. That problem has a new shape now. AI is changing how every IT environment is built, run and protected and the speed at which they are done.

Frontier AI and the Demise of Hardware Security

The cybersecurity industry has long relied on a simple idea: find vulnerabilities, patch them, and measure success by how fast you close the gap. “Time-to-patch” became a badge of honor. That model no longer holds. The rise of Mythos-class Frontier AI Models introduces a different kind of threat. AI-driven, agentic attacks operate continuously, discover weaknesses automatically, and execute at a scale no human team can match.

Falcon AIDR Detects Threats at the Prompt Layer in Kubernetes AI Applications

AI is introducing a new class of threats that don’t look like traditional attacks and can’t be detected with conventional tools. The AI applications that organizations deploy in the cloud interact with large language models (LLMs) through prompts and responses. This prompt layer has emerged as a new attack surface, where risks like prompt injection and sensitive data leakage can go unnoticed.

Session on How much of Mythos based attacks can you prevent using modern IDAM techniques?

In this session at ETCISO IDAM Summit 2026, our Founder & CEO Mr. Anirban Mukherji discussed Identity Access Management (IAM), data protection challenges, and AI governance for modern organizations. He covers SSO, MFA, legacy system hurdles, DBT data flows, Shadow AI risks, and practical steps like patch automation, least privilege access, and AI agent controls. Drawing from the Abhimanyu Chakravyuh metaphor, he explains how strong IAM contains breaches. Learn about vendor sovereignty, geopolitical risks, and miniOrange's expertise in IAM, AI security, and privacy.

Dokie AI Review: GPT Image 2 Makes AI-Generated PPTs Look More Professional

Many AI presentation makers can create slides quickly, but the final result often feels unfinished. The slide structure may be usable, but the visuals can look generic, random, or disconnected from the topic. This is where Dokie AI stands out. Dokie AI is an AI presentation maker built for creating PPT-style decks. It helps users generate structured presentations from prompts, notes, documents, or existing content. With the new support for GPT Image 2, Dokie AI has improved one of the most important parts of presentation quality: the images.

How to compare and choose the best AI remote desktop solutions for MSPs

MSPs managing hundreds or thousands of endpoints cannot afford remote support that lives in a separate tool, on a separate license, with a separate login and a separate workflow. Every extra console adds friction between monitoring, troubleshooting, patching, and security response. That is exactly why AI remote desktop matters now: not as a buzzword, but as a way to shorten the path from issue detection to issue resolution while keeping technicians in one operational environment.

What are MCP and RAG? And why should MSPs and SMDs care?

Author: Alexander Ivanyuk, Senior Director, Technology AI is moving fast, and with that speed comes a new set of terms that many business readers are now hearing for the first time: RAG and MCP. They may sound technical, but the ideas behind them are actually practical. They describe how modern AI systems get better information, connect to business tools, and, in some cases, go beyond answering questions to carrying out work.