Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

February 2022

TPS Worldwide and INETCO join hands to offer Real Time Fraud Detection and Prevention for their customers

INETCO® Systems Limited, a global leader in real-time payment fraud prevention, is pleased to announce that TPS, a leading provider of cards and payment solutions, has joined the INETCO ecosystem as a reseller. TPS powers digital payments for various commercial and central banks, telecoms, processors and financial institutions across the Middle East, South Asia, Africa and Europe.

Coralogix - On-Demand Webinar: Achieving Scale and Compliance During a Global Expansion

Armis is the first agentless, enterprise-class security platform to address the new threat landscape of unmanaged and IoT devices. With a hybrid environment of both single and multi-tenant infrastructures generating massive amounts of data, the team needed a powerful solution to centralize and manage their log data. In this session, Armis’s Head of DevInfra Roi Amitay discusses how his team leverages Coralogix’s unique capabilities together with custom-built dev tools to streamline the development and debugging of microservices on multiple EKS clusters.

Coralogix - On-Demand Webinar: Decoupling Streaming Data Pipelines at Scale

In this session, Harel Ben-Attia, Chief Architect at Coralogix shares the model we have implemented in order to create a resilient and scalable streaming data pipeline and how we had to rethink our entire approach to message processing from the ground up in order to achieve our goals.

Upgrade From Whitelist Profiler to Tripwire State Analyzer

If you’re a Tripwire® Whitelist Profiler customer, then you know that the software does an excellent job of executing its core functionalities. These include comparing the running state of a machine to the approved and expected configurations in your environment to stay in compliance with audit and internal policies. Although Whitelist Profiler is proficient in this regard, that doesn’t mean it can’t be improved in other capacities such as ease of use.

What is AIOps. 4 Types of AIOps Platforms. How to Effectively Navigate the AIOps Landscape.

AIOps or Artificial Intelligence for IT Operations refers to a set of technologies that augment human decisions with autonomous decisions driven by AI and machine learning that learn patterns, relationships from data. AIOps is the term originally coined by Gartner, and pictorially illustrated in the following way.

Can your AIOps platform do Log Noise Reduction in addition to Alert Noise Reduction? If not, it is time to re-evaluate your AIOps

One of the core value propositions of AIOps platforms is to increase IT efficiency & productivity by applying AI & ML techniques to perform Alert Noise Reduction. This in turn translates to direct cost reduction due to savings in IT man-hours. In this approach, the AIOps platform kind of becomes like a gatekeeper for all the IT alerts/events, and it can help effectively, reduce and correlate such events, so as to send meaningful incidents to NOC or Service Desk.

3 Payment Security Challenges to Expect in 2022 (And How to Overcome Them)

Over the past two years that we have lived with the pandemic, the world has changed dramatically. Those changes provided financial criminals with great opportunities to take advantage of many businesses when they were at their most vulnerable, trying to adjust to a new reality. Remote working environments, the ongoing digitization of services, COVID-19 restrictions – all have contributed to the development of new cyber threats and techniques.

Introducing Datadog Application Security

Securing modern-day production systems is expensive and complex. Teams often need to implement extensive measures, such as secure coding practices, security testing, periodic vulnerability scans and penetration tests, and protections at the network edge. Even when organizations have the resources to deploy these solutions, they still struggle to keep pace with software teams, especially as they accelerate their release cycles and migrate to distributed systems and microservices.