Set AI Policy in Plain Language
Turn acceptable use into scoped “Laws” that apply across AI apps and agents.
Policy on Paper, Not in Practice
Most teams have AI principles, but no shared way to express them as scoped rules that apply across apps and agents.
Policies Stay Abstract
Guidance lives in docs and reviews, not as enforceable runtime rules.
No Shared Policy Language
Teams lack a reusable policy construct across models, routes, and agents.
Guardrails Drift by App
Each app rebuilds prompts and checks, creating gaps and inconsistent outcomes.
Policy Changes Need Engineering
Policy updates ship as code, so enforcement lags new AI behavior.
Govern AI Rollouts and Changes
Policy changes are evaluated for missing controls and a decision log is produced
Turn AI Policy into Enforceable Laws
Define acceptable use as “Laws” in plain language, then apply them consistently across AI apps and agents.
No-Code Law Authoring
Write Laws in plain language and enforce them everywhere without rebuilding guardrails in each app.
Policy Scopes by Context
Apply Laws by app, route, role, environment, model, and tool use so “what’s allowed” matches the situation.
Versioning and Roll-out
Update and roll out policy changes safely with versions and controlled rollout, instead of redeploying app code.
Runtime Actions
When a Law matches, take action: allow, block, redact, reroute, or escalate based on scope and severity.
Define Policy Once, Reuse Everywhere
Manage Laws centrally and attach them to the AI systems they govern.
Update Policy Without Code
Write a Law in plain language, then scope it to specific apps, agents, routes, and tools.
Policy Versioning
Propose changes, route approvals, and canary enforcement after detect-only testing.
AI Inventory
Track where AI is used so new routes and models inherit the right Laws by default.
Third-Party AI Oversight
Apply Laws to external models and copilots and capture their activity under policy.
Governance That Executes
Define AI policy once and run it across apps and agents as scoped Laws.
Versioned Policy with Rollout
Propose changes, route approvals, test in detect-only, then graduate to enforcement.
Operated by Security and IT
Policy is authored and managed by the teams accountable for risk, not buried in prompts or app code.
Inventory-driven Coverage
Track where AI is used so new routes and models inherit the right Laws by default.