Monday Morning Impact – October 13

Santa Clara, California-based Gigamon has introduced “Gigamon Insights,” an agentic AI application for network-derived telemetry that will deliver guidance for Security and IT operations teams. Launching with integrations into SIEM and observability platforms from Elastic and Splunk and cloud services from AWS, Gigamon Insights is intended to boost IT productivity by accelerating investigations without manually combing through dashboard data. Analysts can ask questions, query trusted metadata, and receive context-rich insights and recommended actions within the platforms they already use.

Gigamon Insights combines a telemetry pipeline with an LLM architecture to deliver AI-powered detection and troubleshooting across security, network, application, and cloud domains. Customers can choose private hosted models or integrate with their existing enterprise AI systems, maintaining full control over sensitive data while enhancing detection, investigation, and remediation capabilities. This partner-first approach enables organizations to adopt Gigamon Insights efficiently by leveraging existing investments in data stores, enterprise LLMs, and operational workflows.

The application’s agentic interface enables Security and IT teams to use pre-defined prompts or craft free-form queries to run analyses, generate insights, and take action. Analysts can run prompts or craft free-form queries to perform deep investigations, guided troubleshooting, and rapid incident response, equipping junior analysts to perform at the level of seasoned experts while helping teams reduce training costs, accelerate root cause analysis, and strengthen overall threat visibility.

“AI continues to raise the stakes for Security and IT teams, requiring new approaches to secure, optimize, and manage networks and applications,” said Sarah Banks, vice president, product management at Gigamon. “Network-derived telemetry is the best way to truly know what is happening across hybrid cloud infrastructure. Gigamon Insights uses agentic AI to fuse this source of truth with AI at scale, delivering comprehensive business and technical answers directly into the security, observability and cloud tools our customers already trust.”

General availability of Gigamon Insights and launch partner integrations will be announced in the fourth quarter of 2025, with additional partner integrations to follow.

Channel Impact^®
The application’s general value proposition is to accelerate investigations and reducing mean time to resolution, detect advanced threats, identify compliance gaps, and validate microsegmentation policies to improve Zero Trust enforcement.

Check Point Software Technologies Ltd. has entered into an agreement to acquire Zurich- and San Francisco-based Lakera, which has developed AI-native security platforms for Agentic AI applications. With this acquisition, Check Point hopes to deliver a full end-to-end AI security stack designed to protect enterprises as they accelerate their AI journey.

“AI is transforming every business process, but it also introduces new attack surfaces,” said Nadav Zafrir, CEO at Check Point Software Technologies. “We chose Lakera because it brings AI-native security, superior precision, and speed at scale.”

Enterprises are rapidly embedding large language models, generative AI, and autonomous agents into core workflows. This accelerates innovation but also expands the attack surface, from data exposure and model manipulation to risks introduced by multi-agent collaboration and autonomous decision-making. As data becomes the new executable and the Internet of Agents takes shape, real-time AI-native security has become a business imperative.

Check Point already secures this transformation through GenAI Protect, SaaS and API security, advanced data loss prevention, and machine learning-powered defenses for applications, cloud, and endpoints. By combining Lakera’s runtime protection with the AI-powered Check Point Infinity architecture, enterprises can secure the full lifecycle of AI – models, agents and data.

The transaction is expected to close in Q4 2025, subject to customary closing conditions. Upon closing, Lakera will form the foundation of Check Point’s Global Center of Excellence for AI Security, accelerating AI security research, innovation, and integration across the Check Point Infinity Platform.

Channel Impact^®
Together, Check Point and Lakera hope to deliver one of the industry’s most advanced AI-native security platforms, built to protect the full lifecycle of AI.