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spiderSilk

AI-native exposure mgmt platform for asset discovery & threat detection

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spiderSilk Description

spiderSilk is an exposure management platform that provides continuous monitoring and defense against various security exposures across the internet. The platform performs automated asset discovery to identify publicly-exposed assets, including unknown or shadow IT resources. The platform includes non-coded threat detection capabilities that identify vulnerabilities beyond standard CVE databases. It monitors for brand protection issues such as phishing sites and counterfeit products, tracks source code leaks across code hosting platforms, and detects credential leakage including exposed passwords and API keys. spiderSilk operates an Internet-wide Intelligence Platform called SilkNet that aggregates and analyzes global cyber activity data from open-source and darknet sources, including web pages, DNS records, code repositories, and paste sites. Security analysts can query this dataset using natural language or prebuilt dashboards to investigate connections between domains, IPs, and leaked data. The platform includes autonomous AI agents that can be configured to perform SOC tasks and enforce security policies automatically. These agents can isolate compromised hosts, block suspicious IPs, or lock accounts when exposures are confirmed. The system creates automated incident responses by notifying teams, opening tickets, and triggering defensive measures. The platform provides third-party risk management capabilities to assess risks from vendors, partners, and subsidiaries. It offers cloud security features and integrates with existing security toolchains through REST APIs and webhooks.

spiderSilk FAQ

Common questions about spiderSilk including features, pricing, alternatives, and user reviews.

spiderSilk is AI-native exposure mgmt platform for asset discovery & threat detection developed by SpiderSilk. It is a Vulnerability Management solution designed to help security teams with Exposure Management, Asset Discovery, Dark Web Monitoring.

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