NEWS
Cisco announces new service enhancements around XDR and SASE
Cisco , a provider of enterprise security solutions , has unveiled new security services to further its journey to radically simplify and deliver end-to-end security , across users , devices , networks , applications and data .
According to the vendor , the new services improve Extended Detection and Response ( XDR ) with greater visibility across corporate networks , endpoint and cloud . New innovations expand Cisco ’ s vision for Secure Access Service Edge ( SASE ) with enhanced threat detection in the cloud and redefine , and simplify network security .
believe it needs to be done with a platform approach that is simple , comprehensive and based on intelligence ,” said Fady Younes , Cybersecurity Director , Cisco Middle East and Africa . “ There is really no perimeter in the enterprise to defend anymore . We need visibility across endpoints , users and applications as well as securing critical control points with continuous passwordless authentication .”
According to Cisco , the erosion of the network perimeter and transition to workfrom-anywhere have conspired to expose endpoint devices , users and applications to advanced threats more so than ever before .
Cisco said it continues to simplify customers ’ security , network and IT operations – empowering organisations to embark securely on Digital Transformation .
“ Security has to be at the heart of everything in the new world we live in . We
New Kaspersky Machine Learning for anomaly detection now available
Kaspersky Machine Learning for Anomaly
Detection , designed to reveal deviations in production processes at the earliest stage , is now generally available as a commercial product .
The detector is empowered with Machine Learning algorithms that analyse telemetry from machinery sensors . It warns of machine malfunctions by raising alerts as soon as manufacturing process parameters ( tags ) begin to behave in an unexpected way . Kaspersky Machine Learning for Anomaly Detection ( MLAD ) provides a feature-rich graphical interface for detailed analysis of anomalies , as well as tools that can integrate the product with existing systems , to deliver alerts to operators ’ dashboards .
In industrial settings , it is critical to keep technological process on an optimal path and avoid interruptions of any kind , including : equipment malfunctions , operator errors , or cyberattacks on industrial control systems . If something goes wrong , early detection can prevent disruption and therefore reduce the cost of downtime , the waste of raw materials and the impact of other serious consequences . According to Kaspersky estimates , a 50 % reduction in downtime enables annual savings of up to US $ 1 million for a large power plant or US $ 2.5 million for an oil refinery .
Kaspersky MLAD ’ s neural network analyses telemetry in real-time from various sensors used in the production process .
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