Pricing

Priced on the risk you remove — not seats.

Per-seat pricing punishes AI adoption and has nothing to do with your actual exposure. CAGIS.ai prices on governed AI agents — your real risk surface — and makes the outcomes it delivers visible, so what you pay tracks the value you get.

Team

Get AI governance in place — fast.

Per governed agent
Billed monthly · unlimited users
Outcome: Stop secret leaks and dangerous agent actions from day one.
  • On-device behavioral threat detection — 60+ rules / 12 attack categories, multi-step (cross-call) chain detection, anti-obfuscation (shell-AST) scanning
  • PII / secret DLP — 12 detectors with reversible, on-device tokenization
  • Approval policy — allow / ask / deny with per-risk effects; fails closed, even offline
  • Decision audit trail + risk-scored fleet inventory (devices & AI assets)
  • Per-agent usage metering + a personal “my usage” view
  • Claude Code + Codex — one-command install, zero-dependency binary (macOS + Linux, arm64 / x64)
  • Agent discovery + governance-coverage check across the fleet
  • Self-service agent-token management + email support
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Business

Govern, optimize, and prove it — at scale.

Per governed agent
Volume tiers · unlimited users
Outcome: Cut AI risk and spend across every team, with the ROI on a dashboard.
  • Everything in Team, plus:
  • Multi-team governance + central Claude Code policy push (MDM) to every machine
  • Role-based access control (member / admin / super-admin) + per-user capability toggles
  • Hosted-surface governance for claude.ai & Cowork via the MCP gateway
  • Cost management — per-agent & per-team metering, gateway-enforced budgets (block / warn), cost-optimization routing with spend-saved tracking
  • Outcome & adoption analytics — leaks prevented, incidents caught, spend saved, seat utilization, per-developer leaderboard
  • Tunable rollout — threat enforce / observe modes + per-detector DLP actions (mask / redact / tokenize / block)
  • SSO (OIDC + PKCE) with just-in-time provisioning
  • Org-wide searchable audit trail (decisions + admin config changes) · priority support & onboarding
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Enterprise

Outcome-based, aligned to value delivered.

Custom
Risk-reduction agreement
Outcome: A measurable security-posture improvement, backed by an SLA.
  • Everything in Business, plus:
  • Outcome-based commercial model + risk-reduction SLA
  • Retroactive forensic scan of past agent transcripts — read-only, metadata-only — with tamper-evident, SHA-256-signed case bundles
  • Forensic content review — opt-in redacted, AES-256-GCM-encrypted body retention (configurable 1–365 days) with browse & decrypt
  • Custom DLP detectors + custom threat rules (RE2-guarded)
  • Deep hosted-surface analytics — activity monitoring, engagement (DAU / WAU / MAU), per-user cost, live org-governance read
  • ROI triangulation & value indicators — cost per PR, cost per commit, acceptance rate
  • Compliance coverage mapping (SOC 2, ISO 27001, GDPR, HIPAA) with live evidence
  • Dedicated environment (VPC / on-prem) + named security engineer + 24×7 support
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The value you capture

Every plan reports what it's worth

CAGIS quantifies the outcomes it delivers so your spend is always tied to measurable risk reduction — the numbers that justify the line item.

Potential data leaks prevented
Secrets & PII detected and stopped before they reach a model or the wire.
AI security incidents caught
Dangerous agent actions detected and blocked at the boundary — fail-closed.
AI agents governed
Every endpoint and agent under one policy, with a live, risk-scored fleet inventory.
AI operations monitored
Every tool call evaluated, decided, and audited — searchable and attributed.
AI spend attributed & optimized
Cost metered per agent and per team, budgeted with gateway enforcement, and reduced via routing — savings quantified.
Adoption & ROI proven
Seat utilization, before/after adoption, and value ratios (cost per PR / commit) on a dashboard.
Compliance coverage
CAGIS controls mapped to the SOC 2 / ISO 27001 / GDPR / HIPAA clauses you report against, with live evidence.
Why outcome-driven

A model that scales with value, not headcount

Security value comes from the AI activity you govern and the incidents you prevent — not the number of admins with a login. Anchoring price to governed agents keeps it simple and predictable to budget, while the outcome reporting proves the return. Enterprise goes further with a commercial model tied directly to the risk reduction we commit to.

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What's a "governed agent"?

Any AI agent or endpoint under CAGIS governance — one developer's Claude Code, a CI agent, a hosted-surface connector. Users, dashboards, and audit are unlimited.

Is it usage-based?

Governed agents are the stable anchor so bills are predictable. AI operations monitored are generously included; very high-volume programs are scoped in Business/Enterprise.

How is Enterprise "outcome-based"?

We agree on the outcomes that matter to you — leaks prevented, incidents, compliance coverage, spend saved — and align the commercial model and an SLA to that measurable risk reduction.

Can we start small?

Yes. Team gets full on-device protection for a handful of agents; expand coverage as you roll out, with no per-seat penalty for adopting AI.

Let's price it around your outcomes.

Tell us how many agents you're rolling out and what you need to protect — we'll scope a plan and show the ROI.