← Back to Learn
best-practicescompliancedeployment

AI Safety Budget Planning Guide

Authensor

AI safety budgets are often zero until an incident forces reactive spending. Proactive budget planning prevents this pattern and ensures safety infrastructure is in place before it is needed. This guide breaks down the cost categories and provides a framework for planning.

Cost Category 1: Tooling

Self-hosted open-source tools (like Authensor) have infrastructure costs but no licensing fees:

  • Compute for the control plane and gateway
  • PostgreSQL database for audit trails and policy storage
  • Storage for long-term receipt retention
  • Monitoring infrastructure (can share existing observability stack)

Estimated cost: $200 to $2,000 per month depending on agent volume and retention requirements.

Managed safety services charge per API call, per agent, or per seat. Evaluate whether the convenience of managed services justifies the cost premium over self-hosting.

Cost Category 2: Staffing

Refer to the team structure guide for role definitions. Budget considerations:

  • Safety engineering time (whether dedicated or allocated from existing staff)
  • On-call coverage for safety incidents
  • Training for developers on safe agent development practices

For a small team, expect 10 to 20% of one engineer's time dedicated to safety. For larger deployments, budget for dedicated headcount.

Cost Category 3: Testing and Red Teaming

  • Internal red team exercises: engineering time plus tooling
  • External penetration testing: $10,000 to $50,000 per engagement for specialized AI agent testing
  • Automated adversarial testing tools: varies by provider

Budget for at least two red team exercises per year for each high-risk agent.

Cost Category 4: Compliance

  • Legal review of AI governance policies
  • Audit preparation and documentation
  • Regulatory filing fees (varies by jurisdiction)
  • External audit costs if required by regulation

Budget Framework

A reasonable starting budget for AI safety is 5 to 15% of the total AI/ML engineering budget. Organizations in regulated industries should plan toward the higher end.

| Organization Size | Agent Count | Suggested Annual Budget | |---|---|---| | Startup | 1 to 3 | $5,000 to $20,000 | | Growth | 4 to 15 | $50,000 to $200,000 | | Enterprise | 15+ | $200,000+ |

These figures cover tooling, allocated engineering time, and basic compliance. External red teaming and regulatory consultations are additional.

Present the budget alongside the ROI analysis from the measuring ROI guide. The cost of safety infrastructure is consistently lower than the cost of unmanaged incidents.

Keep learning

Explore more guides on AI agent safety, prompt injection, and building secure systems.

View All Guides