How much innovation could you reinvest in with 80% developer productivity recapture? My guess is: a lot. As a VP of Product at a security company, I’ve seen firsthand how making it easier for developers to manage security findings can help them focus on delivering value faster. Let me share with you about the developer security experience that can transform development workflows for increased productivity.

SQL Server is more than just a database—it's a powerful platform that can be leveraged by attackers for system access, persistence, and code execution. While organizations focus on protecting their valuable data, they often overlook the inherent capabilities within SQL Server that make it an attractive target for adversaries looking to establish footholds in Microsoft environments.

Content originally published in Cybersecurity Insiders.

In the past year alone, the number of artificial intelligence (AI) packages running in workloads grew by almost 500%. Which is to say: AI is everywhere, and it’s settling in for the long haul. Naturally, as helpful as they are, these AI workloads come with security challenges, including data exposure, adversarial attacks, and model manipulation. So as AI adoption accelerates, security leaders must build an AI workload security program to protect their organizations while enabling innovation.

AI systems are quickly becoming critical elements of business technology. Imagine building an AI agent trained using your internal documents and guides to quickly improve customer experience, process loan applications, or provide tier 1 support to your customers. The potential is tremendous—but what happens if your models are trained using your own intellectual property like software code, customer data, or other sensitive information?

CURRENCY noun (cur· ren· cy): a common article for bartering.

In today's digital world, the stakes of data loss are high, and the cost of cybercrime continues to escalate. In fact, Ponemon Institute estimated that the average cost of a data breach was $4.45 million in 2023, a 15% increase over the previous three years. As a result, organizations are now deploying a combination of detection and remediation controls in addition to Data Loss Prevention (DLP) technologies. Why?