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Threat Hunting With ML: Another Reason to SMLE

Security is an essential part of any modern IT foundation, whether in smaller shops or at enterprise-scale. It used to be sufficient to implement rules-based software to defend against malicious actors, but those malicious actors are not standing still. Just as every aspect of IT has become more sophisticated, attackers have continued to innovate as well. Building more and more rules-based software to detect security events means you are always one step behind in an unsustainable fight.

Creating a Fraud Risk Scoring Model Leveraging Data Pipelines and Machine Learning with Splunk

According to the Association of Certified Fraud Examiners, the money lost by businesses to fraudsters amounts to over $3.5 trillion each year. The ACFE's 2016 Report to the Nations on Occupational Fraud and Abuse states that proactive data monitoring and analysis is among the most effective anti-fraud controls.

Can AI help redefine the future of finserv?

The last few years has been a time of major disruption in the Finserv sector. Artificial Intelligence (AI) technology has emerged as an important tool for providers of financial products and services to deliver more personalised and more sophisticated services to customers faster. The financial services sector is at the beginning of an exciting journey with AI – a journey that we believe will spark a revolution and redefine financial services.

Not All Buzzwords are Created Equal: Real Applications of Zero Trust Security for IoT

Zero Trust security. Some would say it’s the latest and greatest buzzword and this disposition is understandable given the amount of jargon introduced into the Information Technology market each year. With vernacular being used interchangeably like “AI,” “Machine Learning,” and “Deep Learning,” these words get stripped of their real significance.

Levelling up your ITSI Deployment using Machine Learning

Here at Splunk we’re passionate about helping our customers get as much value from their data as possible. Recently Lila Fridley has written about how to select the best workflow for applying machine learning and Vinay Sridhar has provided an example of anomaly detection in SMLE.

Alloy Software Extends Mobile Offering with Change Management

Bloomfield, NJ – February 10th, 2021 — Alloy Software, a leading provider of IT Service Management and Asset Management solutions, announced today a new version of the Alloy Navigator app on Android and iPhone. The mobile app update is available now and includes several new features to support change management and approval workflows.

Alloy Navigator mobile app expands with Change Management and Approvals

The phone app for mobile access to Alloy Navigator™ ITSM software keeps getting better and gains more features with every update. This time around, the mobile app takes on change management to help your team request infrastructure or process-related changes and take action on approval requests using phones or tablets.

10 Ways to Implement Effective IoT Log Management

The Internet of Things (IoT) has quickly become a huge part of how people live, communicate and do business. All kinds of everyday things make up this network – fridges, kettles, light switches – you name it. If it’s connected to WiFi, it’s part of the Internet of Things. IoT raises significant challenges that could stand in your way of fully realizing its potential benefits.

Taking an API-First Approach to Network Management

Application programming interfaces (APIs) allow applications to communicate, interoperate, and share information with one another. APIs have been mainstays at companies like Google, Salesforce, and other smaller but innovative organizations for decades. Now, they’re also common in the public sector, with a wide range of agencies actively using hundreds of APIs.