Carelessness, a lack of security awareness, unclear data ownership and poor toolsets are root causes of insider breaches, says Tony Pepper, CEO of Egress, which recently surveyed CISOs and employees to trace the cause of insider breaches resulting from both intentional and unintentional loss.
As the IT infrastructure evolves and becomes far more complex, security needs to be built in, not bolted on later, says VIjendra Katiyar of Trend Micro.
It's critical for SOC team to extensively leverage Artificial Intelligence to transform its operations and enhance its investigation capabilities in making the organization safe from attackers and achieving the business goals.
ASICS, a Japanese multinational corporation formed by the merger of Onitsuka, GTO and Jelenk, offers a full range of sports supplies and equipment aiming to create a quality lifestyle through intelligent sport technologies. To combat cyberthreats and address incidents at the very moment they occur, ASICS required a...
A leader in distributed control systems (DCS) and other plant facility-related systems, Tokyo-based Yokogawa Electric Corporation enables automated operation in plants and contributes to the development of a wide range of industries including oil, gas, chemicals, power, electronics and automobiles. As the company...
Keeping organizations safe from attackers and staying one step ahead of them is a tough proposition, and hence identifying threats accurately with integrated user behavioral analytics and artificial intelligence makes tremendous sense as this can save invaluable investigation time.
The rapidly changing cybercrime landscape has required organizations to seek new methods, such as machine learning, that enable systems to learn, adapt, and uncover emerging fraud patterns quickly. However, there are many debates about the merits of machine learning models for fraud detection and which one works...
Traditionally, enterprises have built networks and then added security elements. But in what he describes as "the third generation of security," Fortinet's John Maddison promotes a model of security-driven networking. Hear how this can improve an organization's security posture.
The rapidly changing cybercrime landscape has required organizations to seek new methods, such as machine learning, that enable systems to learn, adapt, and uncover emerging fraud patterns quickly. However, there are many debates about the merits of machine learning models for fraud detection and which one works...
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...
Machine data is one of the most underused and undervalued assets of any organization. It comes in a dizzying array of unpredictable formats and it contains powerful business and operational insights that can help you quickly diagnose service problems, detect advanced security threats and uncover the fingerprints of...
At Splunk, we're working on creating a data-driven future - embracing new developments around artificial intelligence (AI) and machine learning (ML), IT operations, security and IoT. The goal: to generate positive outcomes from your data.
Pulling together insights from thousands of our customers and our dedicated...
Using artificial intelligence and machine learning in cybersecurity has pitfalls, says McAfee's Steve Grobman, who describes appropriate steps to take.
Gaining insights from your data requires more than collecting and analyzing metrics and logs. With the acceleration of customer and business demands, site reliability engineers and IT Ops analysts now require operational visibility into their entire architecture, something that traditional APM tools, dev logging...
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