Security Information and Event Management
Smarttech247 announces cybersecurity partnership with Google
Smarttech247 has announced its strategic partnership with Google. This partnership aims to extend Smarttech247’s existing suite of solutions by integrating cutting-edge technologies from Google into its flagship platform, VisionX as part of its comprehensive MDR offering.
Read moreBlueVoyant offers MXDR for Splunk
BlueVoyant has announced (managed extended detection and response) MXDR for Splunk at Splunk.conf23. The new service integrates Splunk SIEM (security information and event management) capabilities with supported EDR (endpoint detection and response) partner to provide a cloud-native, integrated security solution enabling risk illumination, alert validation through multiple sources as well as remediation across multiple platforms including endpoint, IoT
Read moreTrustwave enhances co-managed SOC capabilities to maximise value from SIEM investments
Chicago, Ill., USA. 24 October 2022 – Trustwave has announced enhanced co-managed SOC capabilities designed to maximise the threat detection and response value of SIEM (Security Information and Event Management) deployments, avoid unnecessary costs, and reduce alert noise by up to 90%. Trustwave’s offering is a holistic partnership in which Trustwave serves as an extension
Read moreNozomi Networks and BT team to deliver advanced OT and IoT cybersecurity to enterprises worldwide
London, UK. 14th December 2021 — Nozomi Networks Inc., a specialist in OT (operations technology) and IoT (Internet of Things) security, and BT, a global communications and security services provider, are partnering to broaden BT’s portfolio of security solutions available for industrial and critical infrastructure organisations around the world. A member of Nozomi Networks’ MSSP Elite Partner Program, BT will work
Read moreMachine learning is cybersecurity’s latest pipe dream – Part 1
A recurring claim at security conferences is that “security is a big data / machine learning (ML) / artificial intelligence (AI) problem”. This is unfortunately wildly optimistic, and wrong in general. While certain security problems can be addressed by ML/AI algorithms, in general the problem of detecting a malicious actor amidst the vast trove of
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