Search Results for: network

Join Martyn Crew, Sr. Director, Product Marketing, and Jim Mandelbaum, Field CTO, Gigamon to hear how to improve app, traffic, and workload visibility. During this webinar you will learn how you can identify all the applications running on your networks and eliminate up to 50% of the applications traffic sent to your security tools without compromising security. Gigamon Application Intelligence enables you to: - Identify unauthorized or potentially dangerous rogue applications - Categorize, filter, and manage applications traffic based on risk-level - Troubleshoot user-experience and security issues using metadata.

Whether you’re migrating to the cloud or continuing to expand your cloud footprint, managing security while making the most of cloud innovation can be challenging. AWS Partner Palo Alto Networks teamed up with AWS to create robust security solutions that leverage the skills and behaviors you already use to help you get quick, precise insights into your cloud environment. There are three key offerings: Strata, Prisma Cloud, and Cortex XSOAR. All provide native integration with AWS to improve your visibility and compliance, help manage risk, and to automate incident response across your entire cloud environment.

Whether you’re migrating to the cloud or continuing to expand your cloud footprint, managing security while making the most of cloud innovation can be challenging. AWS Partner Palo Alto Networks teamed up with AWS to create robust security solutions that leverage the skills and behaviors you already use to help you get quick, precise insights into your cloud environment. There are three key offerings: Strata, Prisma Cloud, and Cortex XSOAR. All provide native integration with AWS to improve your visibility and compliance, help manage risk, and to automate incident response across your entire cloud environment.

In this webinar, we will explore how Hypershield is set to fundamentally alter the security landscape for customers and partners alike. Learn Cisco's strategic vision for its partner ecosystem and the advantages of Hypershield's AI-native design. Why lose precious time bringing threats to the security, when the threat can be addressed anywhere in the network with HyperShield Our experts will examine the advantages of enhanced real-time threat detection, swift response times, and the agility to adapt to novel attack patterns. Additionally, we will address the critical concern of AI-driven false positives and negatives, and how Hypershield is engineered to mitigate these issues.

In modern analytics deployments, latency is the fatal flaw that limits the efficacy of the overall system.  Solutions move at the speed of decision, and microseconds could mean the difference between success and failure against competitive offerings.  Artificial Intelligence, Machine Learning, and In-Memory Analytics solutions have significantly reduced latency, but the sheer volume of data and its potential broad distribution across the globe prevents a single analytics node from efficiently harvesting and processing data. This panel discussion will feature industry experts discussing the different approaches to distributed analytics in the network and storage nodes.

In modern analytics deployments, latency is the fatal flaw that limits the efficacy of the overall system.  Solutions move at the speed of decision, and microseconds could mean the difference between success and failure against competitive offerings.  Artificial Intelligence, Machine Learning, and In-Memory Analytics solutions have significantly reduced latency, but the sheer volume of data and its potential broad distribution across the globe prevents a single analytics node from efficiently harvesting and processing data. This panel discussion will feature industry experts discussing the different approaches to distributed analytics in the network and storage nodes.

In modern analytics deployments, latency is the fatal flaw that limits the efficacy of the overall system.  Solutions move at the speed of decision, and microseconds could mean the difference between success and failure against competitive offerings.  Artificial Intelligence, Machine Learning, and In-Memory Analytics solutions have significantly reduced latency, but the sheer volume of data and its potential broad distribution across the globe prevents a single analytics node from efficiently harvesting and processing data. This panel discussion will feature industry experts discussing the different approaches to distributed analytics in the network and storage nodes.

In this webinar, we will explore how Hypershield is set to fundamentally alter the security landscape for customers and partners alike. Learn Cisco's strategic vision for its partner ecosystem and the advantages of Hypershield's AI-native design. Why lose precious time bringing threats to the security, when the threat can be addressed anywhere in the network with HyperShield Our experts will examine the advantages of enhanced real-time threat detection, swift response times, and the agility to adapt to novel attack patterns. Additionally, we will address the critical concern of AI-driven false positives and negatives, and how Hypershield is engineered to mitigate these issues.

In modern analytics deployments, latency is the fatal flaw that limits the efficacy of the overall system.  Solutions move at the speed of decision, and microseconds could mean the difference between success and failure against competitive offerings.  Artificial Intelligence, Machine Learning, and In-Memory Analytics solutions have significantly reduced latency, but the sheer volume of data and its potential broad distribution across the globe prevents a single analytics node from efficiently harvesting and processing data. This panel discussion will feature industry experts discussing the different approaches to distributed analytics in the network and storage nodes.

In modern analytics deployments, latency is the fatal flaw that limits the efficacy of the overall system.  Solutions move at the speed of decision, and microseconds could mean the difference between success and failure against competitive offerings.  Artificial Intelligence, Machine Learning, and In-Memory Analytics solutions have significantly reduced latency, but the sheer volume of data and its potential broad distribution across the globe prevents a single analytics node from efficiently harvesting and processing data. This panel discussion will feature industry experts discussing the different approaches to distributed analytics in the network and storage nodes.