Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

From power grids and water systems to transport networks and healthcare facilities, critical infrastructure has become a key target for cyber attacks in recent years, such as US utilities suffering a 70% year-on-year increase in cyber attacks this year. The reason for targeting critical infrastructure is clear: they often use outdated software and the attacks have an outsized disruptive impact.

With an average of more than 5 data breaches globally a day, it’s clear companies need a way to prevent data loss. This is where a data loss prevention policy comes into play. A data loss prevention policy serves as a crucial safeguard against unauthorized access, data breaches, and compliance violations. This comprehensive framework outlines strategies and procedures to identify, monitor, and protect valuable data assets across an organization’s network, endpoints, and cloud environments.

Authentication is the process that verifies the user's identity to control access to resources, prevent unauthorized users from gaining access to the system, and record user activities (to hold them accountable for their activities). It is used to authenticate users who log on to a server, ensure that software comes from a reputable source, and ensure that the person sending the message is who he says he is.

Today, we’re thrilled to announce Jit’s certified integration with Wiz! This partnership will make it easier than ever for developers to consistently resolve security issues before production, and for security teams to unify and prioritize the top risks in production – effectively bridging the gap between the core objectives of ASPM and CNAPP. We believe that securing apps in the cloud has been overcomplicated by tool sprawl, alerting noise, and a disjointed UX for developers.

David Heinemeier Hansson (DHH), the creator and leader of Ruby on Rails, reaffirmed his vision for the framework at Rails World last September. He described his philosophy as “from Hello World to IPO.”

AI code generators are revolutionizing the way developers write and maintain code. These advanced tools leverage machine learning (ML) and natural language processing (NLP) to significantly boost productivity, improve code quality, and enhance security. However, they can sometimes introduce subtle vulnerabilities if not carefully monitored. With generative AI, software developers can complete coding tasks up to x2 faster.