Greyhound Overview
Greyhound is a continuous AI security scanning tool designed for modern web and cloud environments. It employs an AI-driven white-hat adversary that autonomously probes your attack surface, mimicking the behavior of a real attacker through discovery, fingerprinting, and safe exploit attempts. This approach allows it to continuously discover new subdomains, services, and exposures before malicious actors do. The platform filters out noise by providing impact-ranked findings based on severity, exploitability, and blast radius, delivering clear, actionable remediation steps instead of an overwhelming list of CVEs. It is built to be developer-friendly, integrating seamlessly into existing workflows.
How to use Greyhound
To use Greyhound, start by creating an account and verifying ownership of your domains via a simple one-click DNS TXT verification. Once verified, you can configure and schedule automated, continuous scans across your web applications, APIs, and cloud infrastructure. The platform will begin discovering assets and identifying vulnerabilities. You can then review the prioritized, impact-ranked findings and use the provided context and remediation steps to fix issues quickly. For seamless integration, use the REST API to connect Greyhound with your CI/CD pipeline, ticketing systems like Jira, or communication tools like Slack to automate scans and sync findings.
Core Features of Greyhound
- AI White-Hat Adversary: Autonomously simulates attacker behavior to probe your digital surface safely.
- Continuous Asset Discovery: Automatically finds new subdomains, services, and potential exposures.
- Impact-Ranked Findings: Prioritizes vulnerabilities based on severity, exploitability, and potential impact, filtering out noise.
- API & Integrations: A REST API allows for integration with CI pipelines, Jira, Slack, and custom workflows.
- Trends & Coverage Visualization: Tracks risk posture over time with Grafana-style visuals to monitor remediation velocity.
- Team Collaboration: Features for inviting teammates, sharing reports, and exporting findings for engineering and SOC workflows.
- One-Click Verification: Ensures scans are run only on owned domains using DNS TXT verification for safety.
Use Cases for Greyhound
Greyhound is ideal for developer and security teams looking to automate their security processes. It can be used for continuous vulnerability assessment of web applications and APIs, automated attack surface management to track digital assets, and as a pre-deployment security check within a CI/CD pipeline to catch issues before they reach production. It is also suitable for organizations needing to prove security coverage and track remediation progress over time.
Advantages of Greyhound
The primary advantage of Greyhound is its AI-driven, noise-reduced approach to security scanning. It provides actionable, high-context findings that allow teams to focus on what truly matters. Its developer-friendly design and robust API make it easy to integrate into DevOps workflows (DevSecOps). The platform is scalable, with plans that grow with your organization, from personal projects to large enterprises, ensuring predictable costs and performance.
Pricing and Plans
Greyhound offers several plans with a 20% discount on yearly billing:
- Basic Plan: ₹4500/month. Designed for trials and personal projects, it includes up to 10 assets, 2 concurrent scans, 500 total scans, web application scanning, and basic vulnerability detection. Support is provided via email and community forums.
- Pro Plan: ₹9000/month. Best for small teams, this plan supports up to 100 assets, 10 concurrent scans, and unlimited total scans. It adds advanced web & API scanning, active reconnaissance, custom scan configurations, priority email support, advanced reporting, and team collaboration tools.
- Enterprise Plan: Custom pricing (Contact Sales). Tailored for regulated organizations and large estates, offering custom asset and concurrency limits, private agent deployments, SSO/SAML, audit logs, SLAs, and dedicated support.
Greyhound FAQ
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