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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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For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

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