Defining XDR: Threat Detection at Scale
Today’s organizations are faced with more cybersecurity threats than ever before. New transformative solutions have emerged as a result. One solution that has gained significant attention is Extended …
Today’s organizations are faced with more cybersecurity threats than ever before. New transformative solutions have emerged as a result. One solution that has gained significant attention is Extended …
In today’s world of startups, software options, and noise – it’s more important than ever to choose a partner that not only will enable the business outcomes you …
AI Governance has long been important for organizations, providing a framework to prioritize investments in artificial intelligence. It ensures transparency, auditability, security, and compliance in data management. But …
…Automation, and Response) tools can be highly beneficial to businesses in several ways: Improved Incident Response: SOAR enables businesses to standardize and automate incident response processes. Implementing best practices and…
Hemanta Swain, CISO of Lucid Motors, joins the podcast to talk about the focus of today’s CISOs, data protection in cloud migrations, upcoming privacy regulations, the implications of …
What is data remediation? Data remediation refers to the process of identifying, cleaning, and correcting inaccurate, incomplete, or irrelevant data within a dataset. The purpose of data remediation …
A study by the cybersecurity firm Checkmarx found that IDOR vulnerabilities were present in 21% of the applications they tested. Another study by OWASP (Open Web Application Security …
What is DFARS? DFARS stands for Defense Federal Acquisition Regulation Supplement. It is a set of regulations used by the U.S. Department of Defense (DoD) to supplement the …
Data protection and data risk posture management (or DSPM for short) start with knowing your data. Visibility is just one piece of the puzzle when it comes to …
…repositories like office365, slack, email, files, pdfs, and more. For organizations experimenting with LLMs, this introduces new risks. Unlike traditional AI frameworks that depend on structured data as input, it’s…