ServiceNow Security Operations Integrations

Intezer AI SOC combines multiple AI models, both proprietary and commercial, with deterministic, forensic methods such as endpoint analysis, reverse engineering, network artifact forensics, sandboxing, static analysis and more. Together, this approach mirrors the triage process that expert, human analysts follow, maintaining high accuracy at unmatched speed and scale. Our native integrations are built for the depth and rigor of the triage and forensic investigation process, providing robust, full-featured connections between tools. This allows Intezer to ingest alerts from all major sources within seconds, gather richer evidence, and deliver deeper context in every analysis. Remediation actions can be easily automated with explicit human approval. You get: - Accurate, fast triage, available 24/7/365: Regardless of alert volume, Intezer delivers consistent, objective triage free from human error or subjective judgment. - Forensics built-in: Intezer AI SOC incorporates advanced forensic capabilities, from automated evidence collection via EDR/SIEM/IDP to memory analysis, reverse engineering, network artifact forensics, and sandboxing. - Humans in the loop: Intezer maintains true human-in-the-loop oversight with transparent triage logic, clear explanations, and the ability for analysts to review or override escalated alerts. - Scalable with predictable pricing: By combining deterministic analysis with efficient AI models, most alerts are triaged without requiring resource-intensive, expensive LLM processing.

Using nation-state-grade technology, uncover all security holes in your organization. CyCognito's Global Bot Network uses an attacker-like reconnaissance technique to scan, discover, and fingerprint billions digital assets around the globe. No configuration or input required. Discover the unknown. The Discovery Engine uses graph data modelling to map your entire attack surface. The Discovery Engine gives you a clear view on every asset an attacker could reach, their relationship to your business, and what they are. The CyCognito risk-detection algorithms allow the attack simulator to identify risks per asset and find potential attack vectors. It does not affect business operations and doesn't require configuration or whitelisting. CyCognito scores each threat based on its attractiveness to attackers, and the impact on the business. This dramatically reduces the number of attack vectors organizations may be exposed to to just a few.

ThreatConnect RQ is a financial cyber risk quantification solution that allows users to identify and communicate the cybersecurity risks that matter most to an organization in terms of financial impact. It aims to enable users to make better strategic and tactical-level decisions by quantifying them based on the business, the technical environment, and industry data. RQ automates the generation of financial cyber risk reporting as it relates to the business, cybersecurity initiatives, and controls. Automated outputs are generated in hours for reporting that is more current and relevant. By automating risk modelling, the vendor states customers get a fast start and can critique, or tune models over time instead of having to create their own. They use historical breach data and threat intelligence upfront in order to save months of data collection and remove the burden of continuous updating.