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.
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...
Organizations are increasingly moving their mission-critical applications and data to Amazon Web Services (AWS) and taking advantage of the massive compute power of Amazon Elastic Compute Cloud (Amazon EC2).
The CrowdStrike Falcon® platform for AWS provides extensive and detailed visibility over Amazon EC2...
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data - the largest category of big data - which is both untapped and full of potential.
Download Banking on Machine Data to learn:
How organizations...
As legacy security information management (SIM) technology becomes outdated and less effective, improved customization and flexibility will dictate which providers will lead the pack.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,...
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 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.
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."
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