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.
"Security by design" is at an inflection point as a result of advances in automation, orchestration, artificial intelligence and machine learning, says Lee Waskevich of ePlus Technology.
Digital transformation has led to complex environments that continuously generate new data. As a result, agencies are left unsure about how to best use their data to meet mission and citizen expectations.
Fortunately, smart technology is being developed to enhance agencies' ability to parse through extensive...
Automation is the first step toward full-blown machine learning and artificial intelligence. But unfortunately, automation already is being weaponized for malicious purposes, says Fortinet's Derek Manky.
Machine learning can play an important role in fraud prevention at financial institutions, says Marc Trepanier of ACI Worldwide, who addresses the challenges involved.
When examining a data-driven future, embracing new developments around artificial intelligence (AI) and machine learning (ML), IT operations, security and IoT is key. The goal: to generate positive outcomes from your data.
Pulling together insights from thousands of customer and our dedicated research teams, our...
SIEM (security information and event management) software offers a lot of promise, but legacy SIEMs simply can't keep up with the rate and sophistication of today's cyberattacks. Organizations today require access to analytics-driven SIEMs that combine a big data platform that is optimized for machine data with...
How can enterprises couple automated processes with human intelligence to improve threat detection? Brian NeSmith of Arctic Wolf Networks shares insights.
In a keynote address at the RSA Conference 2019, RSA President Rohit Ghai encouraged attendees to work in the coming years to "implement a security program with machines and humans working together. Humans asking questions; machines hunting answers."
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...
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