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What is Threat Landscape?

The Threat Landscape is an innovative automated platform tailored for security analysts and SOC teams, providing them with dependable and actionable intelligence while removing the necessity for manual triage. This advanced system persistently collects and scrutinizes global open-source intelligence (OSINT) along with darknet data, adeptly extracting pertinent structured information and reducing the influx of irrelevant data prior to its delivery to the analysts. All collected intelligence is formatted in STIX 2.1, aligned with the MITRE ATT&CK framework, and cross-referenced with a variety of components such as threat actors, malware families, CVEs, TTPs, and IOCs, allowing teams to concentrate on leveraging intelligence rather than generating it themselves. Among its standout features, the platform offers interactive dashboards, visual depictions of STIX threat graphs, advanced search and filtering functionalities, monitoring capabilities for darknet claims related to leak sites and criminal dialogues, automated reporting on a daily and weekly basis, as well as a RESTful API that facilitates seamless integration with SIEM, SOAR, and TIP platforms. This comprehensive platform not only empowers security teams to respond promptly and effectively to newly emerging threats but also enhances their overall cybersecurity posture, ensuring they remain a step ahead in a constantly evolving threat landscape. By streamlining processes and centralizing critical information, security analysts can work more efficiently and effectively, thereby bolstering their organizational defenses.

What is IBM Network Intelligence?

IBM Network Intelligence is designed to facilitate a smooth transition to an autonomous network lifecycle by delivering real-time insights and automating operations across diverse vendors and sectors. Utilizing network-native AI specifically developed on comprehensive telemetry data, it combines analytical capabilities with reasoning to function as a collaborative partner rather than a passive observer. Its AI decisions are transparent and explainable, providing users with the confidence to grasp the reasoning behind every action taken. Built on an open and interoperable framework, it integrates effortlessly with existing tools and operates in on-premises, cloud, or hybrid environments without enforcing vendor lock-in or requiring extensive system changes. From the beginning, its pretrained models and rapid ecosystem integration enable teams to minimize distractions by focusing on actionable, high-confidence insights. This functionality not only reduces the number of recurring incidents but also speeds up repair times and improves overall mean time performance, leading to more efficient network management. Thus, organizations can adopt this innovative technology with confidence, effectively addressing the challenges presented by today's complex network landscapes. Ultimately, this advancement empowers businesses to stay ahead in an ever-evolving digital world.