In the 30-criteria evaluation of security analytics platforms providers, Forrester identified the 13 most significant ones and researched, analyzed, and scored them. IBM is identified as a leader. This report shows how each provider measures up and helps Security & Risk professionals make the right choice.
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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.
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As legacy security information management (SIM) technology becomes outdated and less effective, improved customization and flexibility will dictate which providers will lead the pack.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 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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