Turn Vulnerability Findings into
Business Risk Decisions
Incorporate your business logic into vulnerability prioritization. Enrich every finding with threat and asset intelligence. Deploy AI agents that surface risk on your terms.
Prioritize Vulnerabilities Using Your Own Business Logic
Your organization's risk profile is unique. The assets that matter most, the threats you face, the compliance requirements you carry, and the remediation capacity you have are all specific to you.
AttackForge lets you incorporate that context into how vulnerabilities are scored, prioritized, and routed so your team focuses on what genuinely threatens the business, not what a generic scoring algorithm says is important.
Custom Scoring Systems
CVSS, DREAD, OWASP RRM, or completely custom in-house solutions
Flows with Script Actions
Execute user-defined business logic independently from integration logic
Attack Chains
Map vulnerabilities to MITRE ATT&CK to show how findings chain into critical risk
Custom Fields & Forms
Capture any business context - complete with conditional logic and access controls
Contextualize Threats with External Data Feeds
A vulnerability finding without context is just a technical observation. It becomes actionable intelligence only when you know what asset it affects, whether it's being actively exploited in the wild, and what the threat landscape looks like for your industry. AttackForge Flows connect your vulnerability data to the external intelligence sources that provide this context automatically.
Threat Intelligence
What it provides: Real-time data on which vulnerabilities are being actively exploited, by whom, using what techniques, and against what industries - like CISA KEV.
Why it matters: A vulnerability that is being weaponized by threat actors targeting your industry is categorically more urgent than one with no known exploitation regardless of what CVSS says.
AttackForge capability:
Flows can integrate with threat intelligence platforms like Flashpoint's VulnDB to custom-score vulnerabilities using threat and vulnerability intelligence data. When a vulnerability is created, an event-triggered Flow automatically queries VulnDB, retrieves exploitation data, and uses a Script Action to adjust priority based on real-world threat activity.
CMDB (Configuration Management Database)
What it provides: Asset context: what the affected system is, who owns it, what business function it supports, what data it processes, and where it sits in the network.
Why it matters: Prioritization without asset context is guesswork. The same vulnerability on a customer-facing payment system versus an internal dev sandbox represents completely different levels of business risk.
AttackForge capability:
Flows can fetch information about the affected asset from an external CMDB or from within the AttackForge Assets Library. The combination of CMDB data pulled via Flows and native asset metadata in AttackForge means every vulnerability can be automatically tagged with its business context.
Vulnerability Intelligence
What it provides: Technical enrichment: CWE classifications, detailed descriptions, remediation guidance, related references, and exploit prediction scores like EPSS.
Why it matters: Security teams need technical depth to make informed triage decisions, and developers need clear remediation guidance to fix issues efficiently. Manually researching every CVE is not scalable.
AttackForge capability:
Flows can enrich vulnerabilities with CWE and CVE data using publicly accessible APIs including descriptions, remediation advice, and references. This enrichment happens automatically and the data can be stored in user-defined fields on the vulnerability, making it immediately available to remediation teams.
or prepared statements to
prevent SQL injection..."
Unified Workflow: Automatic Enrichment Pipeline
What are the highest-risk vulnerabilities on production assets?
Analyzing 247 vulnerabilities across production assets...
Both require immediate attention. Created JIRA tickets.
Deploy Your Own AI Agents to Continuously Assess Business Risk
AttackForge supports the Model Context Protocol (MCP), an open standard developed by Anthropic. Instead of building a black-box AI that makes risk decisions for you, you connect your own AI assistants to your vulnerability data.
You choose the AI. You control the access. You own the data. By combining Flows (automated enrichment) with MCP (AI-powered analysis), you build a continuous risk assessment capability where AI agents analyze vulnerability data in business context and surface insights on demand.
AI-Powered Use Cases
Turn Offensive Security Findings into Business Risk Decisions On Your Terms
Your business logic. Your intelligence sources. Your AI. One platform.