As cyberattacks grow more aggressive, small businesses can take practical, scalable steps to strengthen defenses at any stage of the zero-trust journey.

Snowflake’s Artin Avanes explains why governance should be built into a small business’s data foundation to achieve artificial intelligence success.

Legacy applications can slow growth and increase risk for small businesses. Here’s how IT leaders can modernize apps without overwhelming lean teams.

The cloud isn’t a plug-and-play, cost-saving machine, but with a strategic approach to FinOps, SMBs come out ahead financially.

IT leaders at small businesses should evaluate virtualization options such as VMware ESXi, Microsoft Hyper-V and Nutanix AHV based on their workloads, budgets and operational realities.

Technical debt can limit the returns small businesses can garner from investments in artificial intelligence while reducing efficiencies and speed to innovation.

The number and variety of endpoints are growing. A security-first approach to daily workflows can reduce risk for small businesses.

Small businesses can bolster their security strategy by enforcing stricter user authentication.

Even with limited resources, SMBs can use artificial intelligence centers of excellence to drive smarter decisions, improve efficiency and scale innovation.

As part of data governance, small-business leaders must understand the contextual components of their data.

With artificial intelligence increasing the sophistication of threats, small businesses must invest in cybersecurity.

As SMB cloud use mature and workloads move online, the challenge becomes controlling costs, visibility and risk across increasingly complex environments.