Organizations are asking more of IT, legal and compliance teams than ever before. They need to manage more data—from more data sources. They must comply with more e-discovery requests. And they're expected to do it all more efficiently. ESG explores these trends in detail in a wide-ranging survey of more than 500...
The global ‘State of Security 2021’ report recently published by Splunk and ESG Research presents insights and best practices from interviews with some of today’s most successful security leaders. This panel of experts will take a look at key report findings, and discuss the theory and practicality of best...
Launching a successful data analytics project requires asking three critical questions, says Maryam Hussain, partner, forensic and integrity services at Ernst & Young in the U.K.
Tool sprawl is a symptom, and complexity is cybersecurity’s chronic illness. Ashok Sankar of ReliaQuest shares ways to manage this complexity and help organizations rethink how they deploy and measure their cybersecurity defenses.
Multi-Factor Authentication (MFA) can be a highly effective way to safeguard your organization’s data, but that doesn’t mean it’s unhackable. And nobody knows that better than award-winning author and Data-Driven Defense Evangelist at KnowBe4, Roger Grimes. While researching his most recent book Hacking...
Economic turmoil, triggered by the global spread of COVID-19, is increasing and accelerating opportunistic, premeditated and organized insurance fraud. Criminals who invent claims will spend time to discern how to best exploit the weaknesses of an insurer’s fraud defenses. Customers and agents are learning how to...
Pharmaceutical companies can leverage data analytics, predictive analytics and artificial intelligence to fight drug diversion fraud, says Charles Washington, senior director, global fraud and asset protection, at Pfizer.
With the explosion of remote business, we are
now digitizing many of our documents and
processes. Jay Schiavo of Entrust explains what
new mindset this shift requires and shares advice for
organizations currently making the shift.
Download this eBook to learn more about:
What’s needed to ensure document...
This paper will lay out key steps to help organisations sensibly adopt a better data protection posture and with it, build a firm foundation towards onward compliance. The key principles of Classification by Design will be introduced as a logical, yet robust start point. We summarize with the overarching takeaway that...
A centralized log strategy has become an essential component in the administration of today’s complex IT environments.
Since log management data is central to the analysis of securing IT enterprise services, understanding operational
performance of IT infrastructure and applications, and key to meeting data...
As companies embrace the opportunities presented by cloud and mobile computing to connect with clients and optimize operations, they take on new risks. One of the biggest challenges in digital transformation is ensuring security, privacy, and compliance. With organizations increasingly putting emphasis on a smooth...
Organizations must adopt a new approach to security automation that's tailor-made to address today's threats, says Joseph Blankenship, vice president and research director at Forrester.
It is essential that government organizations and the private sector bodies in their supply chain have the
right solutions in place to minimize the risk of data loss in the public sector. Systems for data classification
and data loss prevention allow organizations to effectively control and manage data and ensure...
Global Data Visionaries are making waves in the digital world. They are championing privacy-led approaches to data usage, which enable organizations to realize the full value of their data, bespoke to their contextual needs.
These ‘Data Visionaries’ comprise of individuals who have disrupted industries or...
The Department of Veterans Affairs’ watchdog agency alleges that two VA employees “concealed” and “mispresented” the cybersecurity and privacy risks of an ambitious "big data" project that would have analyzed 22 million veterans’ health records dating back two decades.
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