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Sumo Logic Threat Labs Launched

Sumo Logic unveiled Sumo Logic Threat Labs, a threat research and security detection unit.

The Threat Labs unit is among the expanded services and tools from Sumo Logic to help customers modernize security operations and achieve greater cyber-resilience.

The Sumo Logic Threat Labs Unit is built to deliver a continuous stream of deep detection content, rapid response guidance, and actionable best practices to Sumo Logic security customers. The team is staffed with domain experts with backgrounds in forensics, incident response, and red/blue teaming, as well as offensive and defensive cyber operations in the United States military and intelligence services. Informed by deep human expertise, the Threat Labs Unit will also play a larger role in contributing advanced detection logic and best practices to the security community to help collectivize the defense.

Dave Frampton, VP/GM, Sumo Logic Security Business Unit said, “Our Threat Labs Unit will contribute actionable insights to our customers from leading-edge threat research, we will also share insight with the community to improve the industry's collective defense. Our deep and diverse practitioner expertise translates into advanced detection coverage delivered in a unique SaaS model which combines real-time global updates with deployment customization for individual customers.”

Modern threat surfaces also encompass application security at every layer of the stack. Customers need end-to-end workflows coordinated across detection, investigation and response efforts. Threat Labs insights are delivered across the Sumo Logic security portfolio, ranging from detection and investigation in Cloud SIEM to automated threat response in Cloud SOAR. In its SaaS delivery platform, Sumo Logic updates detection content for all customers at least twice weekly, to shorten the cycle time from research to concrete defense adaption in environments where every minute counts.

As first reported in the media in April, the very first malware exploiting serverless computing was found in the wild creating crypto-miner instances in AWS Lambda. Called Denonia, this cutting-edge malware requires a holistic approach to detection, investigation, and response. The Threat Labs Unit performed research and detection engineering on the Sumo Logic platform. The team then generated content for detection in Cloud SIEM, delivered analysis and hunting across the platform, and orchestrated the response in Cloud SOAR all in one workflow.

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Sumo Logic Threat Labs Launched

Sumo Logic unveiled Sumo Logic Threat Labs, a threat research and security detection unit.

The Threat Labs unit is among the expanded services and tools from Sumo Logic to help customers modernize security operations and achieve greater cyber-resilience.

The Sumo Logic Threat Labs Unit is built to deliver a continuous stream of deep detection content, rapid response guidance, and actionable best practices to Sumo Logic security customers. The team is staffed with domain experts with backgrounds in forensics, incident response, and red/blue teaming, as well as offensive and defensive cyber operations in the United States military and intelligence services. Informed by deep human expertise, the Threat Labs Unit will also play a larger role in contributing advanced detection logic and best practices to the security community to help collectivize the defense.

Dave Frampton, VP/GM, Sumo Logic Security Business Unit said, “Our Threat Labs Unit will contribute actionable insights to our customers from leading-edge threat research, we will also share insight with the community to improve the industry's collective defense. Our deep and diverse practitioner expertise translates into advanced detection coverage delivered in a unique SaaS model which combines real-time global updates with deployment customization for individual customers.”

Modern threat surfaces also encompass application security at every layer of the stack. Customers need end-to-end workflows coordinated across detection, investigation and response efforts. Threat Labs insights are delivered across the Sumo Logic security portfolio, ranging from detection and investigation in Cloud SIEM to automated threat response in Cloud SOAR. In its SaaS delivery platform, Sumo Logic updates detection content for all customers at least twice weekly, to shorten the cycle time from research to concrete defense adaption in environments where every minute counts.

As first reported in the media in April, the very first malware exploiting serverless computing was found in the wild creating crypto-miner instances in AWS Lambda. Called Denonia, this cutting-edge malware requires a holistic approach to detection, investigation, and response. The Threat Labs Unit performed research and detection engineering on the Sumo Logic platform. The team then generated content for detection in Cloud SIEM, delivered analysis and hunting across the platform, and orchestrated the response in Cloud SOAR all in one workflow.

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In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...