Name: Deep Observability for Kubernetes Lateral Traffic
Start: 2024-10-17T15:55:00Z
End: 2024-10-17T15:55:10.000Z
Location: BrightTALK
Rating: 0

Gigamon offers a deep observability pipeline that harnesses actionable network-level intelligence to amplify the power of observability tools. This powerful combination enables IT organizations to assure security and compliance governance, speed root-cause analysis of performance bottlenecks, and lower operational overhead associated with managing hybrid and multi-cloud IT infrastructures.

GigaVUE-OS and GigaVUE-FM offer a rich set of features and capabilities - so many that users can be overwhelmed. In this session, we’ll highlight five high-value features that you may not know about but that could dramatically improve the return on your investment, optimize your workflows, make your tools more efficient, and help keep your networks healthy and secure.

Five Capabilities of GigaVUE-OS and GigaVUE-FM You May Not Know

The need to inspect encrypted traffic is critical given the prevalence of encrypted malware lurking in our midst. But with over 90 percent of enterprise data being encrypted, managing this traffic and determining when and where to decrypt it remains a significant challenge for many organizations. Gigamon provides a range of decryption solutions and in this session, we’ll explore the pros and cons of the most common deployment scenarios and help you to learn how to decide which model is most efficient and effective for your organization.

Decryption Lessons Learned: The Most Efficient Deployment Models

From an operational perspective, using an agentless solution such as mirroring for virtual traffic access seems ideal. Nothing to install, easier to manage, less expensive etc. In fact, the opposite is true. Agent-based traffic access solutions are easier to configure, yield higher performance, and usually cost less than their agentless counterparts.  In this session, we’ll expose the myths and misconceptions about using an agent for traffic access. We’ll also discuss why agents for traffic access are different than traditional tool agents and explain why they might be the best option for your network.

To Tap or Not to Tap and When is an Agent Not an Agent

Cloud platforms like AWS, Azure, and GCP are modern marvels with immense scalability and flexibility. These benefits can also come with sticker shock when your cloud environment is not optimized.  For example, complex tapping and mirroring architectures often lead to unnecessarily high billing costs, especially for packet-based security tools like Cloud Network Detection & Response. In this session, we’ll examine alternative designs and solutions to the default monitoring options from public cloud platforms that can save you a bundle in infrastructure costs.

How to Slash Cloud Monitoring Costs

Explore the synergy between Cribl and Gigamon in enhancing data observability, network performance and security.  In today’s data driven landscape, organizations face the challenge of managing vast amounts of data while ensuring performance, security and compliance. This session will show how Cribl’s innovative data routing and transformation capabilities, combined with network intelligence from the Gigamon Deep Observability Pipeline, enable organizations to gain deeper insights that streamline operations, and power informed decisions.

Optimizing Data Observability: Harnessing the Power of Cribl and Gigamon

The public cloud has been a game-changer for many organizations. In contrast to traditional on-premises architectures, it enables applications to be deployed with flexibility and agility. The downside is that public cloud costs can be high and, in some cases, exorbitant when it comes to adding management capabilities like ensuring visibility. Join Gigamon CFO, Dave Arkley, and resident cost-expert Ryan Mahoney, as they detail how Gigamon helps you to gain the pervasive cloud visibility you need while lowering your total cost of ownership by up to 80 percent.

Gain Cloud Visibility and Lower TCO by up to 80 Percent

Join us for an insightful panel discussion on Closing the Cybersecurity Preparedness Gap with Deep Observability, featuring Gigamon customers. This session will delve into the security challenges facing CISOs today, moderated by Gigamon Chief Security Officer Chaim Mazal. Customers will share real-world experiences, strategies, and solutions they have implemented to better secure and manage their hybrid cloud infrastructure. Gain valuable insights on strengthening your organization's hybrid cloud security posture.

Customer Panel Discussion: Closing the Cybersecurity Gap, Moderated by Gigamon CSO

Imagine the possibilities when service providers can easily access valuable insight about their mobile subscriber base. Information such as what devices and OTT applications subscribers are using as well as when and where they use the mobile network. Marketing, advertising, infrastructure planning, customer service, and product development can all benefit from better subscriber insight, but traditional approaches to collect this data have been costly and complex. In this session, we will cover the latest Gigamon solution innovation that cost-effectively delivers enriched mobile subscriber metadata directly to data lakes and analytics engines, enabling service providers to realize the full potential of subscriber data.

Learn What’s Possible with Enriched Mobile Subscriber Analytics

Not knowing whether a performance bottleneck is caused by the network or the application itself often leads to a “blame game” among application, network, and cloud teams. This finger pointing can delay resolution and also stifle collaboration. Join us to learn how Gigamon can help you to more quickly and precisely pinpoint the root cause of performance bottlenecks and finally end the “blame game”.

End the “Blame Games” with High-Precision App Troubleshooting

DevOps must deliver business agility and high application performance together with strong application security. How can security and infrastructure teams work with DevOps to ensure network intelligence-derived security is incorporated directly into the software development process – without compromising speed or quality? In this session we will walk you through a free-to-try, self-contained AWS-based Gigamon tool that demonstrates how network-derived intelligence can help application owners identify and prevent misconfigurations, compliance violations, and vulnerabilities.

“Wow” Your App Owners with Application Insights Derived from Deep Packet Inspection

Discover how network-derived intelligence with enhanced metadata empowers you to lower security risk by proactively identifying threats, streamline PCI compliance, accelerate your Zero Trust objectives, and lower costs. In this session, you’ll learn how to unlock the full potential of your network data to gain unparalleled visibility into your hybrid cloud infrastructure and empower your InfoSec and SecOps teams to make informed decisions.

Harness the Power of Network Data with Splunk and Gigamon

Despite global information security spending projected at $215B in 2024, today’s organizations are losing ground against cyber criminals. In our annual survey of more than 1,000 security and IT leaders worldwide, we explored cybersecurity challenges and top priorities to secure and manage increasingly complex hybrid cloud infrastructure. Our survey found 1 in 3 organizations were unable to detect a data breach in the last 12 months using existing tools. Why? Join our CSO Chaim Mazal for this keynote session as he shares survey highlights, insights on the state of cybersecurity, and how organizations must adapt to close the preparedness gap.

State of the Cybersecurity Industry: How to Address the Preparedness Gap

Join IDC analyst Stephen Elliot, Group Vice President, I&O, Cloud Operations, and DevOps for this keynote session where he will share the latest trends around the intersection of observability, security, and the expanding role of network telemetry in securing and managing modern hybrid cloud infrastructure. Stephen will discuss the value of leveraging shared data across teams to optimize tooling, streamline analysis, and foster tighter collaboration, sharing best practices along the way for optimizing business outcomes.

IDC Research: Observability and Security — Two Sides to the Same Coin

It’s not a matter of “if” but “when” organizations are breached. That’s the premise that Federal agencies operate under and it’s one that would be prudent to follow. With an Assumption of Compromise, it’s assumed that threat actors are currently living off the land (LTOL) using applications and protocols already available in workloads. Why LTOL and similar attacks can go unnoticed is because of a critical gap in traditional logging that is often overlooked. Learn why relying on logs from a firewall or router as the single source of truth is not enough. In this session, we will take a broad look at logging from the perspective of government threat hunting, and how it can be greatly enhanced with network-derived intelligence to make it far more resilient and harder for bad actors to defeat.

The “Assumption of Compromise”: Government Agency Best Practices

Every security organization owns a suite of solutions composed of tools covering endpoints, applications, cloud, and network hardware.  While these tools deliver the functionality promised, threats are still getting through – so we know more work needs to be done. Folks, it’s 2024 and we still don’t know what’s running on our network!  Join us as we walk through: how you can identify critical gaps in your organization’s security posture, the components of a “modern” security posture and finally, how to use network-derived intelligence and telemetry to consolidate tool functions across multiple areas (cloud, observability, security, network) into a single cohesive and proactive security posture.

What Today’s Security Stack Can... and Can’t Do

Enterprise Strategy Group (ESG) research data shows that 83% of organizations are lifting and shifting workloads to the cloud. As companies utilize cloud services for productivity, scale, and modernizing software development, security needs a means of keeping up and effectively securing these hybrid cloud environments. 

However, the complexity of today’s attack surface, new stakeholders involved in security decisions, and limited cloud knowledge in SecOps teams impede effective hybrid cloud protection.

Register for this Fireside Chat to understand how to close the hybrid cloud security gap, with our expert speakers ESG Cybersecurity Practice Director Melinda Marks and Martyn Crew, Senior Director of Solutions Marketing and Partner Technologies at Gigamon. Together, Crew and Marks will cover, alongside rich ESG data:
• Cloud modernization trends 
• Hybrid cloud security best practices 
• AI preparedness: Cyber-adversary advantages gained from AI 
• And the components of Gigamon Deep Observability Pipeline, which provides app monitoring across cloud environments.

Hybrid Cloud Security: Closing the Preparedness Gap & Resolving Top Challenges

Meeting compliance standards for data privacy and security is mission critical. Whether you’re in healthcare, retail, financial services, or in the public sector, data privacy regulations require that all data-in-motion and data-at-rest for cloud applications adhere to strict security standards. However, ensuring compliance for applications running on public clouds has proven extremely challenging... until now.  In this session, we will discuss and demonstrate how organizations apply Gigamon Application Metadata Intelligence to meet and maintain regulatory compliance.

Closing the Data-in-Motion Compliance Gap

Enhancing App Speed & Agility

According to the 2024 Gigamon Hybrid Cloud Security Report, fewer than half of over 1,000 global IT and security leaders surveyed claim to have lateral East-West visibility across their hybrid cloud infrastructure, which includes container-to-container communications. Threat actors know this and are actively exploiting this oversight, as evidenced by recent high-profile attacks which employed lateral movement to evade detection. In this session, we will cover how you can gain simple and scalable deep observability into container environments, at both packet and metadata levels.  You’ll also learn best practices based on recent customer deployment use cases on how to acquire traffic from any container along with accessing and aggregating container traffic from multiple cloud platforms.

Deep Observability for Kubernetes Lateral Traffic

Containers

Kubernetes

Hybrid Cloud Security

Lateral Visibility

Hybrid Cloud

Cloud Infrastructure

Threat Actors

Multi Cloud

Security

Visualyze

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Deep Observability for Kubernetes Lateral Traffic

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