SecOps tools lack visibility to data context and risk, yet increasing security events & decreasing personnel to address them make prioritizing the relevant data analysts have to filter …
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 …
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 …
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 …
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 …
La gouvernance de l'IA est depuis longtemps importante pour les organisations, car elle fournit un cadre pour prioriser les investissements en intelligence artificielle. Elle garantit la transparence, l'auditabilité, la sécurité et la conformité de la gestion des données. Mais…
…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 meilleur practices and…
Hemanta Swain, RSSI de Lucid Motors, rejoint le podcast pour parler des priorités des RSSI d'aujourd'hui, de la protection des données dans les migrations vers le cloud, des réglementations à venir en matière de protection de la vie privée, des implications ...
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 …