Blogs

As AI and large language models (LLMs) transform businesses, they bring both opportunities and risks. While AI drives efficiency and…

The coming year will likely be defined by AI powered cyber threats, deepening integration of cyber tactics into geopolitical strategies, and exploitation of critical infrastructure vulnerabilities.

In today’s fast-paced, AI-driven landscape, Microsoft Copilot is making waves as the most rapidly adopted AI application across organizations worldwide….

In a new wave of ransomware attacks, the Black Basta group, whose members have infiltrated corporate networks by using phishing, malware botnets, and social engineering, are now using Microsoft Teams to get access to a company’s corporate data.

In this blog, we focus on the benefits and risks of AI Autopilots — autonomous agentic systems that perform tasks with little or no human intervention.

I’ve spent years watching threat actors probe and exploit internet-facing edge devices – those critical gateways that connect our corporate networks to the wider digital world.

While AI Copilots offer powerful benefits, they also introduce new security challenges that organizations must address to ensure safe and secure use.

From prompt engineering attacks, to misconfigurations, to data leakage, security challenges at this layer can have far-reaching consequences. Let’s take a deep dive into the security risks associated with Foundational AI and what businesses need to watch for as they adopt AI-driven solutions.

The world has undergone a massive transformation since the pandemic in 2020, and the cloud revolution has been one of its biggest shifts. While cloud adoption began years before, it wasn’t until after the pandemic that it truly took off.