Avoid Major Data Breaches with Threat Lifecycle Management

The Threat Lifecycle Management (TLM) framework puts you a step ahead of your attackers by providing an end-to-end security workflow that combines people, process, and technology. TLM is a series of aligned capabilities and processes that enables you to sort through the noise to highlight and investigate concerning incidents.

Spotlight

Deep Instinct

Deep Instinct is the first company to apply deep learning to cybersecurity. Deep learning is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day and APT attacks are detected and prevented in real-time with unmatched accuracy. Deep Instinct brings a completely new approach to cybersecurity that is proactive and predictive. Deep Instinct provides comprehensive defense that is designed to protect against the most evasive unknown malware in real-time, across an organization’s endpoints, servers, and mobile devices. Deep learning’s capabilities of identifying malware from any data source results in comprehensive protection on any device, any platform, and operating system.

OTHER VIDEOS

Find All Your APIs with API Discovery

video | August 3, 2023

APIs operating without any security controls are just waiting to be exploited. Misconfigurations, suspicious behavior, and cyber attacks may already be occurring without your knowledge. Hackers are on the lookout for APIs that will allow them to access data covertly, providing time to not only extract data, but to explore additional attack vectors....

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How VMware Uses MetaAccess to Validate and Remediate Endpoints at Scale

video | July 28, 2023

VMware, a global leader in cloud computing and virtualization technology uses MetaAccess from OPSWAT to ensure tens of thousands of remote users can access VMware's Horizon cloud software with devices that meet strict security standards. MetaAccess provides a zero trust access solution Kristina de Nike, Director of Product Management, Horizon, discusses how OPSWAT's MetaAccess is able to detect and remediate endpoints at scale....

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Cloud Pak for Security: Introduction to Cloud Pak for Security

video | July 27, 2023

This is an introductory video for Cloud Pak for Security. Cloud Pak for Security is based on Open Shift technology. This means that it can be installed on-prem as well as on any of the cloud solutions like IBM Cloud, AWS, Microsoft Azure, Google Cloud etc. QRadar XDR is SIEM of SIEM. Typically in huge environments, there are multiple SIEMs being used. To get a birds eye view of the complete environment, the data needs to be copied from one SIEM to another. Rather than this, CP4S can be leveraged in such a scenario. The data does not need to move from SIEM to CP4S and still CP4S is capable to understand the security posture of an organisation, understand risk valuation, create and manage inci...

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Simplifying Hybrid Cloud Protection with HPE GreenLake for Backup and Recovery

video | July 31, 2023

HPE GreenLake for Backup and Recovery is backup as a service designed for hybrid cloud. It simplifies how you protect your on-premises and cloud-native workloads bringing with it the cloud experience and flexibility of software delivered as a service....

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Spotlight

Deep Instinct

Deep Instinct is the first company to apply deep learning to cybersecurity. Deep learning is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day and APT attacks are detected and prevented in real-time with unmatched accuracy. Deep Instinct brings a completely new approach to cybersecurity that is proactive and predictive. Deep Instinct provides comprehensive defense that is designed to protect against the most evasive unknown malware in real-time, across an organization’s endpoints, servers, and mobile devices. Deep learning’s capabilities of identifying malware from any data source results in comprehensive protection on any device, any platform, and operating system.

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