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.
Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You're not alone. Cybersecurity leaders have been grappling with these challenges for years - and the problem keeps getting worse.
On average, enterprises find 870 vulnerabilities per...
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...
Multi-stage attacks use diverse and distributed methods to circumvent existing defenses and evade detection - spanning endpoints, networks, email and other vectors in an attempt to land and expand. Meanwhile, individual tools including DLP, EDR, CASBs, email security and advanced threat protection are only designed to...
Machine learning models and artificial intelligence are
transforming the way email is secured.
Download this eBook to learn more about:
The state of email security today;
The role AI and ML play in securing email infrastructures;
Why humans need not be a weak link.
India is gradually entering into the league of those nations where critical infrastructure is controlled by the cyber architecture and therefore, naturally becoming an attractive target for the enemies of the state and countries, says S N Pradhan, director general of NDRF, Ministry of Home Affairs.
The National Internet Exchange of India, an autonomous body under the Ministry of Electronics and IT that maintains the .In registry and country code Top Level Domains, has switched to a new outsourcer for operations and maintenance. Some security experts are criticizing the move.
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...
Organizations may have great cybersecurity intentions, but translating those desires into a robust security reality is often challenging, says Ratinder Ahuja, CEO of ShieldX Networks. That's why he advocates automation to ensure intention equals reality.
Machine learning systems adapt their behavior on the basis of a feedback loop, so they can overlearn and develop blind spots, which if not understood by practitioners can lead to dangerous situations, says Sam Curry of Cybereason.
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