Running Aihackwatch as a service, Research Tools

Aihackwatch Agency Implementation, Building AI Risk Advisory Services

Learn how to position Aihackwatch as a research backbone for client security advisory work. This course teaches agencies how to extract verified incident data from the timeline, use the incident taxonomy to map active threat vectors, and integrate real-world examples into risk assessments and board presentations without relying on speculation or outdated threat models.

Open the decision record for Aihackwatch

What does running Aihackwatch for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Not published, Aihackwatch is open-source with no published paid tiers or setup costs.
Time to first value
Not published
Payback
Not modeled, client price, labor cost, usage cost, overhead, and expected volume were not supplied.
Guided implementation
8 hours

Is Aihackwatch worth running as a client service?

Aihackwatch is a free, open-source public database that can support a low-cost AI threat advisory add-on for existing clients, but it has no automation, no integrations, and no published vendor pricing. Whether the advisory service is profitable depends entirely on the agency's own analyst hours, client retainers, and willingness to manually maintain citations.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • Aihackwatch incident timeline access
  • Aihackwatch methodology page for citation standards
  • Aihackwatch RSS feed for update monitoring
  • GitHub account for community story submissions and issue tracking

People and inputs

  • Analyst time to review the chronological incident timeline and source links
  • A client risk register or advisory template to map incident categories against
  • A process for verifying and archiving Aihackwatch source links cited in client deliverables

Included with the course

6 working documents for delivering this service.

  • AI Threat Vector Mapping Worksheetworksheet
  • Client Risk Assessment Template Using Aihackwatch Datatemplate
  • Incident Category Breakdown for Board Presentationschecklist
  • Monthly AI Security Trend Report SOPsop
  • GitHub Submission Process for Internal Research Teamsguide
  • Retainer Delivery Cadence: Aihackwatch Updates to Clientssop

Listed by name. These documents are not yet published as individual downloads.