Artificial intelligence is starting to eat the world, one step at a time, and IT operations is no exception. Although […]
Amazon is responsible for securing its cloud. Your security inside its cloud is on you.
While big data is a challenge to defend, big data concepts are now applied extensively across the cybersecurity industry.
Do you run a small bed and breakfast and want to make it easy for prospective customers to take a […]
Companies are increasingly adding IoT to their logistics operations in pursuit of greater visibility and efficiency in their supply chains — and to stave off disruptions to come.
After 15 years, the OWASP Top 10 list remains largely the same
It’s no longer privacy vs security. Regulations like GDPR and customer data breaches have joined privacy and security efforts at the hip.
Their granularity, deployment speed, and data traffic volume require new approaches to securing container environments.
Interest in machine learning and AI for SCM is increasing as companies envision a more predictable, automated future for logistics and distribution.
Today’s cyberattack lifecycle is short, unpredictable, and often with brutal results.
To protect the edge, enterprises should move toward architectures that will protect applications even if the infrastructure is compromised.
Data science democratized: What used to take data scientists months to prepare may soon be put together in a few days by data-astute business users.
Power supplies, cooling systems, even security systems themselves can all be entry points for attackers.
Bad data is big issue for artificial intelligence, and as businesses increasingly embrace AI, the stakes will only get higher. Here’s how not to get burned.
Ireland, already a European data center hub, expects GDPR and Brexit to drive more data center growth.