Security | News, how-tos, features, reviews, and videos
The government’s intentions to promote cybersecurity for cloud-based AI are good, but its track record of successfully managing technology is poor.
Does simulating attacks and failures help you harden your infrastructure, or is it a risky distraction for unprepared teams?
NIST has some recommendations for navigating the evolving cybersecurity landscape with quantum-resistant strategies, and they should absolutely be on your radar.
Artificial intelligence will redefine cloud security with adaptive frameworks, enhanced threat intelligence, and predictive analytics to usher in an era of proactive protection.
Microsoft has open sourced a key piece of its AI security, offering a toolkit that links data sets to targets and scores results, in the cloud or with small language models.
Distributing workloads among various providers offers protection from failure, but make sure your business can handle the complexity and costs.
AI agents benefit from the data sovereignty, customization, and lower costs of on-premises servers and other options outside the public clouds.
In today’s world where everything gets hacked, conversations about security are what’s truly important, especially to attract younger developers to open source.
CISOs are still hampered by bad assumptions and outdated approaches. They should be involved in decisions from day 1 to address unique business needs.
It seems to be fair game now to label cloud security as risky even though your data is likely safer there than on-premises.