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Gigamon Integrates with Amazon Security Lake

Gigamon announced that its Deep Observability Pipeline now delivers network-derived application metadata intelligence (AMI) into Amazon Security Lake from Amazon Web Services (AWS).

Amazon Security Lake automatically centralizes an organization’s security data from across their AWS environments, leading SaaS providers, on-premises environments, and cloud sources into a purpose-built data lake, so customers can act on security data faster and simplify security data management across hybrid and multicloud environments. This integration provides organizations the ability to access and analyze data-in-motion across hybrid cloud infrastructure to more efficiently and effectively secure and manage workloads, applications, and data.

The integration of network-derived intelligence with Amazon Security Lake supports important use cases for organizations seeking both completeness and efficiency across their security tools stack. With Amazon Security Lake, Gigamon can provide:

- Security analytics based on actual data communications to completely and correctly identify any usage of vulnerable protocols, deprecated ciphers, and expired certificates

- Forensics that compare what applications actually did with what logs report

- A richer and deeper data set on which to base new AI-driven security analytics via tools like NDR or XDR

Gigamon leverages deep packet inspection (DPI) to extract more than 7,500 application-related metadata attributes derived from network packets. With Amazon Security Lake integration, users can centralize and gain deep observability into security data across their entire organization. The new integration helps organizations to:

- Efficiently deliver AWS traffic to multiple security tools without installing individual agents for each tool

- Contain excessive tool and transit costs by filtering unnecessary traffic and deduplicating redundant traffic

- Generate NetFlow for SIEMs and raw packets for NPMs and packet sniffer tools

Gigamon is also a launch partner for additional AWS services including AWS Gateway Load Balancer as an endpoint, expansion of VPC Traffic Mirroring to new Amazon Elastic Compute Cloud (Amazon EC2) instances, and others. In addition to integration with Amazon Security Lake, Gigamon GigaVUE® Cloud Suite™ for AWS is now fully integrated with AWS Network Load Balancer (NLB) and native AWS Virtual Private Cloud (VPC) Traffic Mirroring.

“The powerful combination of our GigaVUE Cloud Suite for AWS and Amazon Security Lake provides our mutual customers with the same level of deep observability and protection they’ve come to expect across their on-premises data center infrastructures, extending it to their entire AWS environment,” said Srinivas Chakravarty, VP, cloud ecosystem at Gigamon. “IT and security leaders are grappling with complex multi-tiered tool stacks today amid constrained budgets and resources, and with this new integration, organizations will now be armed with the necessary tools to maximize their visibility effectiveness and accuracy across their entire hybrid and multi-cloud infrastructure.”

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Gigamon Integrates with Amazon Security Lake

Gigamon announced that its Deep Observability Pipeline now delivers network-derived application metadata intelligence (AMI) into Amazon Security Lake from Amazon Web Services (AWS).

Amazon Security Lake automatically centralizes an organization’s security data from across their AWS environments, leading SaaS providers, on-premises environments, and cloud sources into a purpose-built data lake, so customers can act on security data faster and simplify security data management across hybrid and multicloud environments. This integration provides organizations the ability to access and analyze data-in-motion across hybrid cloud infrastructure to more efficiently and effectively secure and manage workloads, applications, and data.

The integration of network-derived intelligence with Amazon Security Lake supports important use cases for organizations seeking both completeness and efficiency across their security tools stack. With Amazon Security Lake, Gigamon can provide:

- Security analytics based on actual data communications to completely and correctly identify any usage of vulnerable protocols, deprecated ciphers, and expired certificates

- Forensics that compare what applications actually did with what logs report

- A richer and deeper data set on which to base new AI-driven security analytics via tools like NDR or XDR

Gigamon leverages deep packet inspection (DPI) to extract more than 7,500 application-related metadata attributes derived from network packets. With Amazon Security Lake integration, users can centralize and gain deep observability into security data across their entire organization. The new integration helps organizations to:

- Efficiently deliver AWS traffic to multiple security tools without installing individual agents for each tool

- Contain excessive tool and transit costs by filtering unnecessary traffic and deduplicating redundant traffic

- Generate NetFlow for SIEMs and raw packets for NPMs and packet sniffer tools

Gigamon is also a launch partner for additional AWS services including AWS Gateway Load Balancer as an endpoint, expansion of VPC Traffic Mirroring to new Amazon Elastic Compute Cloud (Amazon EC2) instances, and others. In addition to integration with Amazon Security Lake, Gigamon GigaVUE® Cloud Suite™ for AWS is now fully integrated with AWS Network Load Balancer (NLB) and native AWS Virtual Private Cloud (VPC) Traffic Mirroring.

“The powerful combination of our GigaVUE Cloud Suite for AWS and Amazon Security Lake provides our mutual customers with the same level of deep observability and protection they’ve come to expect across their on-premises data center infrastructures, extending it to their entire AWS environment,” said Srinivas Chakravarty, VP, cloud ecosystem at Gigamon. “IT and security leaders are grappling with complex multi-tiered tool stacks today amid constrained budgets and resources, and with this new integration, organizations will now be armed with the necessary tools to maximize their visibility effectiveness and accuracy across their entire hybrid and multi-cloud infrastructure.”

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...