In a recent Ponemon survey on cyber resilience, respondents reported that both the time to respond to attacks and the severity of the attacks have increased. They also reported that the number one barrier to cyber resilience is the "lack of investment in new cybersecurity technologies, including artificial...
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 hype around artificial intelligence (AI) and machine learning (ML) has exploded, sometimes overshadowing the real uses and innovations happening every day at organizations across the globe. The reality is that applying AI and ML to data-dependent challenges presents the opportunity for better security, faster...
The cyberthreat landscape is rapidly changing. As attacks continue to increase in volume and sophistication, agency defenses also must evolve.
In order to do so, many agencies are moving toward a more holistic, analytics-driven approach to security. By gaining an end-to-end view of what's happening inside an agency...
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.
Imagine a world where incident alerts arrive 30 minutes before problems even begin - you'd actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again.
A superior AIOps (Artificial Intelligence for IT Operations) solution can help maintain...
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.
A computer security researcher has discovered a vast marketing database containing 340 million records on U.S. consumers. The database is the latest in a long line of databases to have been left exposed to the internet without authentication, thus putting people's personal data at risk.
Although the National Institutes of Health is implementing strong privacy measures as it begins its effort to enroll 1 million volunteers to contribute data to its "All of Us" precision medicine research project, there are still risks involved, says privacy attorney Kirk Nahra.
CISOs increasingly are summoned to present to their Boards of Directors. But too often these presentations fail to frame the right topics with the right metrics, says Jacob Olcott of BitSight. He offers advice for maximizing the opportunity in front of the Board.
User behavior analytics and data loss prevention tools are among the most promising yet underutilized or improperly implemented security technologies in healthcare, says security consultant Mark Dill, formerly of the Cleveland Clinic, a featured speaker at the HIMSS18 conference.
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