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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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77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

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We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...