01 — ThreatWeaver
Run vulnerability and application security programs end to end. Report them without the busywork.
ThreatWeaver is a multi-tenant vulnerability and exposure management platform — the system of record security teams use to ingest scanner data, prioritize and remediate risk, and increasingly, to run AI-driven application security testing, with a portal for CISOs and stakeholders to consume dashboards, compliance status, and reports.
- 66 deterministic scanning agents
- ~85% answered without an LLM call
- CVSS · KEV · EPSS risk scoring
What it does
Every stage of a security program, in one platform
Ingest & unify
Connect Tenable.io (with Qualys, Rapid7, CrowdStrike, and AWS Inspector on the roadmap) or a GitHub org; a streaming sync engine lands findings and assets into tenant-scoped tables and dedupes them into Active vs Fixed state.
Prioritize & remediate
The Vulnerability Fix Planner scores risk with CVSS/KEV/EPSS, groups findings into work packages and campaigns, applies SLA policies and exception governance, and pushes tickets to Jira and ServiceNow.
AI-assisted analysis
A 3-tier AI assistant (local/hybrid/full-AI routing, ~85% answered without an LLM call) generates fix plans, ticket text, executive summaries, and root-cause analysis grounded in NVD and CISA KEV data.
Autonomous AppSec testing
66 deterministic scanning agents (SAST/DAST/IaC/secrets/dependency/CSP/OOB) plus a heuristic rule-learning system that weights findings by real-world accuracy (Wilson-score confidence), moving toward a proof-first model where nothing ships without a re-triggerable exploit.
Executive reporting
Seeded and custom dashboards with drag-and-drop widgets, compliance scoring against PCI-DSS, SOC 2, HIPAA, and ISO 27001, and CSV/PDF/SARIF export.
How it works
From connected data source to a prioritized, reportable program
01
Connect & sync
Bring in a scanner integration or GitHub org; assets and findings sync continuously into the tenant's schema.
02
Prioritize & assign
Findings surface on dashboards and in Explore; the Fix Planner scores and packages them into campaigns routed to owners and ticketing systems.
03
Remediate, verify, report
Teams close work against SLAs and exceptions, AI and AppSec engines assist and validate findings, and compliance and executive reports go out.
Built for
- Security/IT teams running overlapping tools (VM scanner, EDR, patch management, CMDB) who need one reconciled view
- CISOs and stakeholders consuming executive dashboards and compliance reporting
- AppSec and engineering teams wanting AI-assisted, proof-backed pentest findings wired into their CI/CD and ticketing
Questions
Good to know
What data sources does ThreatWeaver support?
Tenable.io and GitHub organizations today, with Qualys, Rapid7, CrowdStrike, and AWS Inspector on the roadmap. A streaming sync engine continuously lands findings and assets into tenant-scoped tables and dedupes them into Active vs Fixed state — one reconciled view across your tooling.
How is AI actually used?
Through a 3-tier assistant with local/hybrid/full-AI routing — roughly 85% of questions are answered without an LLM call at all. When AI is used, it generates fix plans, ticket text, executive summaries, and root-cause analysis, always grounded in NVD and CISA KEV data.
What makes the AppSec testing trustworthy?
66 deterministic scanning agents cover SAST, DAST, IaC, secrets, dependencies, CSP, and out-of-band testing, and a heuristic rule-learning system weights findings by real-world accuracy using Wilson-score confidence. The direction is proof-first: nothing ships without a re-triggerable exploit.