SIEM (security information and event management) software offers a lot of promise, but legacy SIEMs simply can't keep up with the rate and sophistication of today's cyberattacks. Organizations today require access to analytics-driven SIEMs that combine a big data platform that is optimized for machine data with...
Do you have a plan for cybersecurity? Digital technology is touching every aspect of our lives, which is giving bad actors unlimited runway to create new threats daily. It's this atmosphere that makes it imperative that organizations are prepared, informed and actively hunting for adversaries.
But do you know where...
More than ever before, companies are investing heavily in their organization's security. But as the threat landscape changes, how do you know that these investments in security are paying off - and how can you determine that you are investing the appropriate amount of security spending in the areas that matter most to...
Analytics, artificial intelligence and machine learning are increasingly playing promising roles in healthcare data security, say Ron Mehring, CISO at Texas Health Resources, a large delivery system, and Axel Wirth of Symantec, a technology vendor. They were featured speakers at the HIMSS19 conference.
Improved integration, automation and orchestration are needed to better detect and respond to evolving cyberthreats, says John Maynard, vice president and global security specialist at Cisco Systems.
User behavioral analytics can help better detect indicators of potential threats, both external and internal, says Carl Leonard, principal security analyst at Forcepoint.
The marketers would have us believe that machine learning and behavioral analytics are the keys to unlocking the future of healthcare information security. But Vikrant Arora, CISO of the Hospital for Special Surgery in New York, offers a more practical outlook.
As legacy security information management (SIM) technology becomes outdated and less effective, improved customization and flexibility will dictate which providers will lead the pack. Vendors that can provide customization, integrations, and data security position themselves to successfully deliver flexibility,...
As attackers become more adept at evading "reactive" security controls and alert mechanisms, proactively analyzing the behaviors of people and systems is critical to detecting malicious activity, says Gartner's Kelly Kavanagh.
The appropriate use of predictive analytics, going beyond a "set it and forget it" approach, could dramatically improve breach detection, says Teresa Grogan, CIO of the consultancy VertitechIT .
The quality and completeness of data is key to being able to perform meaningful analytics to detect malicious events, says Damien Smith of Australia's ANZ Bank.
An ongoing security operations center challenge is trying to get the right data to the right person at the right time. The problem is compounded by there being "too much data and not finding the right people to deal with the data," says Mischa Peters of IntSights. What can help?
Numerous technology firms now offer facial biometrics recognition search tools for big data sets. But information security expert Alan Woodward warns that these big data sets must be "considered and regulated very heavily" or else we'll be "living in 1984 without knowing it."
What are the biggest privacy and security concerns in healthcare when it comes to the use of big data and data analytics tools? Attorneys Elizabeth Mann and Brad Peterson explain what organizations need to know before they dig in.
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