Threat Landscape
Threat Landscape is an automated threat intelligence platform built for security analysts and SOC teams who need high-confidence, actionable intelligence — without the manual triage.
The platform continuously ingests and processes global OSINT and darknet sources, automatically extracting structured facts and filtering out noise before it reaches analysts. All intelligence is normalized into STIX 2.1 format, MITRE ATT&CK mapped, and correlated across threat actors, malware families, CVEs, TTPs, and IOCs — so teams spend time acting on intelligence, not building it.
Key capabilities include interactive dashboards, visualized STIX threat graphs, advanced search and filtering, darknet monitoring for leak-site claims and criminal chatter, automated daily and weekly digests, and a RESTful API for integration with SIEM, SOAR, and TIP platforms.
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Motadata
Motadata ObserveOps is a unified observability platform that brings metrics, logs, flows, traces, and topology together in one product. Built on Motadata's DFIT deep learning framework, it ingests telemetry from networks, servers, cloud workloads, containers, and applications, then correlates the signals so teams can pinpoint root cause without jumping between tools.
The platform runs adaptive AI that does not need pre-training, supports OpenTelemetry-native ingestion, and integrates with Motadata ServiceOps for closed-loop incident workflows. Six deployment modes cover on-premise, private cloud, public cloud, and hybrid setups, including High Availability, Disaster Recovery, and HA-over-WAN for regulated and distributed environments. Over 500 enterprises across 30+ countries use it for full-stack observability.
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IBM SevOne
Optimize IT operations with insight and action from application-centric network observability. Struggling to address the soaring complexities of modern network management? Network infrastructures built for digital transformation require monitoring solutions that can be just as dynamic, flexible, and scalable as the new environments. Designed for modern networks, IBM® SevOne® Network Performance Management (IBM SevOne NPM) provides application-centric, network observability to help NetOps spot, address, and prevent network performance issues in hybrid environments. Boost network performance and improve user application experience by proactively monitoring multivendor networks, and turning insights into action across enterprise, communication, and managed service provider environments. Going beyond detection, SevOne NPM combines industry-leading expertise and advanced analytics to help your teams act on what matters: improving network performance.
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Coroot
Coroot is an open-source, AI-powered observability platform designed to give teams full visibility into their infrastructure and applications while automatically identifying and explaining issues in real time. It collects and analyzes telemetry data, including metrics, logs, traces, and profiling information, without requiring code changes or complex configuration, using eBPF to instrument systems automatically and deliver immediate insights. It builds a complete model of your system by mapping services, dependencies, databases, and network connections, allowing you to visualize how components interact and quickly detect anomalies or performance bottlenecks. Coroot’s AI-powered root cause analysis acts like a virtual assistant, automatically checking common failure scenarios, identifying the source of incidents, and suggesting actionable fixes, reducing the need for manual debugging and significantly shortening resolution time.
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