The enterprise has embraced the public cloud. But tension and misalignment between CloudOps and business stakeholders impedes your organization from achieving all that it can.
Moreover, customers expect speed, scale and business agility from the cloud. CloudOps require continuous governance of security,
compliance...
No SOC has the resources or time to review and manage all its alerts manually. Overwhelmed security teams often ignore "low value" notifications for the sake of efficiency. This forced adjustment in workflow allows potential security threats to slip through the cracks.
In today's world of automation and AI, it's...
George Orwell's "1984" posited a world in which Big Brother monitored us constantly via "telescreens." But thanks to our "smart" AI home assistants - from Google, Amazon and others - we're increasingly installing the monitoring equipment ourselves, and it may "hear" much more than we realize.
Digital transformation has propelled a wave of new technological advancement that has arguably enriched people's lives. By the same token, the proliferation of machines - physical, virtual and in the cloud - has posed many security challenges and threats across industries, banking being the most noteworthy. As this...
The annual Infosecurity Europe conference this year returned to London. Here are visual highlights from the event, which featured over 240 sessions and more than 400 exhibitors, 19,500 attendees and keynotes covering data breaches, darknets, new regulations and more.
Many of today's companies are hesitant to adopt new security technologies - particularly AI. The truth is AI is successfully disrupting many areas of security operations and shifting us away from the traditional SOC and man-led threat intelligence.
In this webinar, Chris Calvert will introduce the concept of...
It seems that every security vendor is hyping Artificial Intelligence (AI), creating unrealistic expectations and causing some security pros to simply tune it all out. The reality is that AI is a powerful, indeed essential, component of security against today's advanced threats. The attacks simply are too numerous,...
Watch this brief video interview to learn more about how the city of Westland achieved their security goals by harnessing AI to gain the most real-time visibility into their environment.
Taking a Zero Trust approach that emphasizes users and data offers a significant opportunity to modernize security, and traditional kill chain models. While many of today's models leverage data detected on endpoints, they lack the critical context of how users are interacting with data and sensitive applications in...
Machine learning is one of the tools that you should be using as part of a multifaceted fraud strategy at financial institutions. To get value out of ML, you need to have multiple inputs. You have to have an intelligence network and the location to gather all that network intelligence.
Download this eBook on the...
You've heard the AI evangelists, but how can you ensure the AI solution you invest in is an intelligent, cognitive solution that can make your job easier?
The no-hype answer centers around making sure it can learn and can be proactive. It should automate your repeatable tasks to mitigate fatigue and solve what...
Application fraud losses are projected to top $1.3B in the US by 2020. Understanding the trends behind these staggering numbers is critical if institutions are to prevent crippling financial and reputational losses.
Join Aite's Senior Analyst, Shirley Inscoe, and DataVisor's Director of Solution Engineering, Alex...
Banks can drive real value to their fraud prevention strategies with machine learning and analytics if they cut through the hype. Machine learning can be made intuitive and available directly to fraud experts. A multi-faceted strategy can turn fraud prevention expertise into a revenue generator for the...
Machine learning can play an important role in fraud prevention at financial institutions, says Marc Trepanier of ACI Worldwide, who addresses the challenges involved.
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