Demystifying DSPM
Every now and then, a new term catches the attention of the market: but it’s difficult to cut through the noise of DSPM, DLP, DSP, DAG, DDR… you …
Category: Data Protection
Accelerating Threat Detection Through Engineering
In the ever-evolving landscape of cybersecurity, organizations face numerous threats that can jeopardize cloud infrastructure, user endpoints, sensitive data, and day-to-day operations. To effectively combat these risks, security …
2023 Cloud Migration Trends: Data Takes Flight
In today’s digital era, harnessing the power of cloud migration has become a game-changer for businesses worldwide. The ability to migrate data, applications, and infrastructure to the cloud …
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 …
Why Industry-Leading Security by Design & Enterprise Class Security Practices Matter
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: Balancing Innovation and Ethical Accountability
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 …
SOAR Simplified: Unlocking the Efficiency of SecOps
…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…
The Future of Cloud Security, AI, and Privacy Regulations
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 …
Streamlining Data Remediation: Best Practices Guide
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 …
Understanding Insecure Direct Object References
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 …