Gigamon Integrates with Amazon Security Lake
June 08, 2023
Share this

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.”

Share this

The Latest

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...

November 12, 2024

If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...