Examples of using Security analytics in English and their translations into Chinese
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In such cases, big data security analytics is not needed.
Works across industry,academia and government to provide a focus for cyber security analytics in the UK.
Big data security analytics ingests and correlates large volumes of data.
The centre works across industry,academia and government to provide a focus for cyber security analytics in the UK.
By 2020, advanced security analytics will be embedded in 75% of security products.
Cyberowl, a breakthrough early-warning system for cyberattacks,incorporating advanced security analytics and heuristic methods.
Real-time Big Data security analytics is another key component of an advanced threat mitigation strategy.
The variety of security event data poses a number ofchallenges to data integration to a big data security analytics product.
Security analytics must be automated and orchestrated across the ecosystem with minimal human intervention.
The company has also made several successful strategic acquisitions,extending its solutions to the advanced threat defense, security analytics, and encrypted traffic management spaces.
Security analytics refers to a multidimensional analysis of an IoT ecosystem(from IoT device to gateways to the cloud).
Vendors at RSA 2017latched onto terms such as machine learning, security analytics, and artificial intelligence(AI) to solve enterprise security problems, Forrester noted.
Security analytics is not the first line of defense for large or small organizations, but it is an increasingly important one.
IT professionals responsible for recommending, evaluating and purchasing a security analytics platform should carefully assess their needs with respect to existing security controls and applications.
Security analytics and threat prediction: Not only must security-related data be monitored and controlled, it must also be used to predict future threats.
User and entity behavioral analytics(UEBA) enables broad-scope security analytics, much like security information and event management(SIEM) enables broad-scope security monitoring.
Novel security analytics technologies can now provide insights that make it possible to create predictive security systems as opposed to reactive ones.
It is important to understand that big data security analytics is not just examining packets in a stateless manner or performing deep packet analysis.
The Citrix security analytics application monitors those devices and helps IT to apply security policies and ensure that the network remains secure.
Leverage external threat intelligence- Augment internal security analytics programs with external threat intelligence services and evaluate threat data from trustworthy and relevant sources.
We use security analytics, cloud security, SIEM, and machine learning to allow protection, detection, and correction to happen simultaneously from device to cloud.
He added that Chronicle will provide“planet-scale” security analytics, matching Google's existing artificial intelligence with machine learning, infrastructure and“near limitless compute” capabilities.
Security analytics are then applied by a rules-based, configurable decision-making engine that triggers automatic corrective action or helps operators implement a manual response.
There are cases in which big data security analytics is useful with cloud infrastructure, however, particularly with regards to log data generated in the cloud.
Machine learning moves security analytics from diagnostic and descriptive to prescriptive and proactive, leading to faster and more accurate detection.
Bitdefender Network Traffic Security Analytics is an enterprise security solution that accurately detects breaches and provides insights into advanced attacks by analyzing network traffic.