Products / Autonomous Offensive Operations / Vulnerability Intelligence Platform
Autonomous Vulnerability Research

Most vulnerability intelligence gives you a list of CVEs. Ours gives you an autonomous research team that proves what works.

ThreatCanary gives every offensive operation a dedicated agentic research workflow—from investigating a product or vulnerability to building a target-specific test plan, validating it safely and retaining what was learned.

Book a demo Explore the platform
Evidence traceApproved scopeTarget-aware testing
Autonomous researcher workflow

Research becomes capability only after it survives testing.

Global research is translated into target-relevant hypotheses, reproduced in controlled conditions and promoted with provenance attached.

Open the sample evidence pack
  1. 01
    ObserveResearch across languages and ecosystems
  2. 02
    InterpretPrerequisites, technique and affected technology
  3. 03
    ReproduceControlled researcher validation
  4. 04
    OperationaliseConstrained reusable test capability
  5. 05
    ProveTarget evidence with source provenance

Representative product workflow. This diagram explains the evidence model; it is not presented as a customer result or live product capture.

Capability architecture

From vulnerability signal to researcher-grade testing intelligence.

ThreatCanary does more than aggregate CVEs. It investigates the evidence behind a vulnerability, reasons about how it could affect the target and converts that research into controlled, repeatable validation.

01

Start with a research question

  • Begin with a discovered product and version, a published CVE, an unexpected behaviour or a suspected novel weakness.
  • Ask what affects this exact technology, which conditions are required and how the issue can be demonstrated safely.
  • Use live target context to focus the investigation instead of treating every vulnerability record as equally relevant.
02

Investigate like a security researcher

  • Gather official advisories, vendor disclosures, technical write-ups, exploit code, proof-of-concept material and patch analysis.
  • Normalise and deduplicate fragmented research while preserving source provenance.
  • Connect vulnerabilities to products, affected versions, weakness classes, exploit prerequisites and related research.
03

Research beyond the English-language web

  • Discover emerging security research published in Chinese, Russian and other languages that English-speaking teams can struggle to monitor continuously.
  • Translate technical meaning, vulnerability mechanics and testing methodology—not merely the words on the page.
  • Preserve the original source, translated interpretation and confidence so researchers can verify what the intelligence means before using it.
04

Build a target-specific test plan

  • Extract affected-version logic, preconditions, attack primitives, detection techniques and safe validation methods.
  • Turn conflicting or incomplete research into explicit hypotheses that can be tested against the authorised target.
  • Rank the next research and testing steps by relevance, confidence, safety and potential impact.
05

Move from research to validation

  • Supply offensive agents with the context and methodology needed to test the target—not merely a CVE label.
  • When no suitable test exists, pass clear capability requirements to Weapons Foundry and tool-adaptation workflows.
  • Capture the request, execution path, result and supporting evidence so the conclusion can be reviewed and reproduced.
06

Convert manual insight into reusable capability

  • Retain successful testing methods, exploit knowledge and supporting research as structured, versioned intelligence.
  • Link each capability back to the hypothesis, target conditions, source material and evidence that justified it.
  • Reuse proven research across future assessments so the platform becomes more capable with every validated outcome.
07

Keep researchers in control

  • Automate collection, correlation, synthesis and routine test preparation while preserving expert review points.
  • Escalate ambiguous, sensitive or higher-impact actions through approval workflows before execution.
  • Give researchers a traceable workspace for deciding what to test, why it matters and what the evidence proves.
08

Research outputs

  • Target-specific vulnerability briefs with affected-version and prerequisite analysis.
  • Prioritised hypotheses, testing methodologies, proof-of-concept references and patch-diff context.
  • Validated findings with reproducible evidence and clear confidence.
  • Reusable offensive capabilities that preserve provenance, safety controls and operational history.
Common questions

Questions teams ask before they commit.

Direct answers on scope, evidence, safety controls and how ThreatCanary differs from tools you already run.

01

How is ThreatCanary different from a conventional vulnerability intelligence feed?

Conventional feeds primarily describe known vulnerabilities. ThreatCanary uses vulnerability intelligence as the starting point for an active research workflow: it gathers the underlying technical evidence, relates it to the target, develops testable hypotheses and supports controlled validation.

02

Does the Vulnerability Intelligence Platform rely only on predefined signatures?

No. Predefined coverage provides a useful baseline, but the platform can investigate target behaviour, research material, patch changes and exploit prerequisites to develop a test plan when a static signature is insufficient.

03

How does ThreatCanary support human security researchers?

It automates repetitive collection, normalisation, correlation and test preparation while retaining source provenance, approval points and reproducible evidence. Researchers remain in control of sensitive decisions and can review how each conclusion was reached.

04

Can ThreatCanary research non-English security publications?

Yes. The research workflow can discover and interpret relevant technical material published in Chinese, Russian and other languages, preserve the original source and present the translated vulnerability mechanics and testing implications for researcher review.

05

What happens when an appropriate vulnerability test does not already exist?

The research workflow can define the required inputs, preconditions, execution logic and evidence criteria, then pass those requirements into ThreatCanary's controlled test-generation and tool-adaptation capabilities.

Related capabilities

Continue exploring ThreatCanary

Follow the evidence from the current problem into the product capabilities and validation workflows that address it.

01

Hypothesis-Driven Testing

Turn research questions into explicit, testable security hypotheses.

Explore Hypothesis-Driven Testing 02

Adaptive Testing

Adapt the test sequence to target behaviour and observed evidence.

Explore Adaptive Testing 03

Weapons Foundry

Generate or adapt controlled testing capability when an existing test is not enough.

Explore Weapons Foundry 04

Exploitability Validation

Prove whether a suspected weakness is exploitable in the authorised environment.

Explore Exploitability Validation
Evaluate the capability

See this capability work against your attack surface.

Book a product walkthrough