Why it matters
- AI systems need operational discipline.
- Prompts affect output quality, safety, consistency and auditability.
- Enterprise security teams need control over AI-assisted reasoning.
Prompt Management
Version, test and govern prompts used by ThreatCanary advisors and autonomous workflows.
Deterministic evidenceScope-aware executionAdaptive capability
Capability architecture
Prompt Management: context, validation and evidence.
This capability contributes to the same platform outcome: understanding realistic attacker exposure and proving what matters.
ThreatCanary approach
- Store prompts in version control with schemas, validation and review.
- Track prompt execution, cost, output validation and performance.
- Promote improved prompts through human review and testing.
What it validates or reveals
- Prompt versions and rollback.
- Output validation and cost tracking.
- Governed AI behaviour across roles and workflows.
Evidence and outputs
- A clear explanation of the exposure, affected assets and likely attack path.
- Reproducible evidence suitable for analysts, developers and risk owners.
- Prioritisation based on exploitability, business impact, sensitive data and chainability.
- Owner, remediation and workflow context that can move into Jira, Slack, SIEM or reporting.
See ThreatCanary in action
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