At AWS re:Invent, Amazon Web Services (AWS) introduced several new features for Amazon SageMaker AI, aimed at accelerating the development, training, and deployment of generative AI models. These …
The healthcare industry manages some of the world’s most sensitive and valuable data, from patient health records to genomic data and financial information. As this data’s volume, variety, …
What is Identity Threat Detection and Response? Identity Threat Detection and Response (ITDR) is like having a security guard who constantly watches for suspicious behavior at a high-security …
Over the past few years, Data Security Posture Management (DSPM) has gained serious traction in the cybersecurity world. The idea is simple: give organizations visibility into their most …
In the face of rising regulatory scrutiny, complex data ecosystems, and growing cyber threats, banks and financial institutions must reimagine how they manage risk and compliance. Traditional approaches—manual, …
As technology companies scale, so does the complexity of their data ecosystems. From personal information and proprietary code to cloud infrastructure and global user data, tech companies face …
When it comes to automation everything counts— whether that’s being a master of coding or the jedi of drag and drop SOAR objects. In the end what matters …
Risk Management Framework Explained (Including NIST RMF) As an organization, you must straddle that fine line between mitigating security and privacy threats and complying with regulations. Fortunately, both …
Understanding the Scope of Data Risk Management Data is the one unavoidable constant in every modern business, so it’s no surprise that managing data risk has become a …
All businesses must have risk mitigation strategies, but for those who work with artificial intelligence, risk management is essential. That’s because while traditional software risk management and cybersecurity …