Chris Morosco, VP & Head of Marketing | Aurascape
October 1st, 2025

AI is now the default interface for work. The real question isn’t “allow or block,” it’s how to enable broad, everyday use—safely, measurably, and without slowing the business.

Our whitepaper, From Shadow AI to Smarter Work, gives security leaders a concise, actionable blueprint to do exactly that.

What You’ll Gain

Let employees fully embrace diverse AI apps—safely.
Move beyond one-off approvals to usage guardrails around public AI apps, SaaS copilots, embedded assistants, and developer tools—so teams can create, code, research, and serve customers without surprises.

Provable compliance assurance, built in.
Adopt an evidence pattern that shows who used what, in which way, under which guardrails, with what outcome—clean, audit-ready records without transcript hoarding.

AI literacy that improves week over week.
In-flow coaching helps people use AI safely in the moment. As proficiency rises, reliance on strict guardrails decreases—culture matures while control remains.

Momentum without regret.
Keep work moving while minimizing sensitive exposure, mis-entitlements (personal vs. enterprise), and risky actions—even inside tools you already allow.

Precision where “stop” is necessary.
When you must block, you’ll do it narrowly and explainably—protecting what matters without punishing everything else.

Built for Leadership Alignment and Execution

Board & executive clarity—goals and progress, not hype.
Walk away with a simple way to set targets and show movement:

• A short list of north-star metrics (e.g., reduction in personal-account usage; decline in sensitive content in prompts/responses; time-to-govern new AI tools).
• A lightweight scorecard you can review monthly—easy to scan, hard to argue with.
• A narrative your CFO, COO, and General Counsel will recognize: speed, control, and proof in the same motion.

An action plan architects can run with.
Clear first steps and division of responsibilities so Architecture, SecOps, IT, and Data teams can execute together:

• Role-aligned enablement and per-mode/per-action controls (chat vs. agent/tools).
• Default-then-tune workflows: safe posture on day one, refined by real usage data.
• Selective steering patterns that sit beside your current stack (no network overhaul).

A 90-day operating cadence.
Establish baselines → govern in the flow → tune with signals. It’s repeatable, measurable, and designed to earn executive trust quickly.

Why Now

Standards are converging and oversight is tightening. The time to define AI compliance is before it’s explicitly mandated—so you set the terms, not a rushed audit. This guide helps you stand up an actionable program now: enable each role and team to use the AI apps they need, wrap those interactions in granular usage guardrails, and produce provable compliance by design. You’ll set measurable goals, show board-ready progress, and give architects a clear 90-day action plan—so adoption accelerates without surprises.

• Pre-mandate compliance, on your terms: map guardrails to emerging expectations, define evidence and retention upfront, and avoid retrofit scramble later.
• Role-aligned enablement: enterprise entitlements, per-mode/per-action controls (chat vs. agent/tools), and safe defaults for new apps and features.
• Proof by default: compact, audit-ready records that fuel a simple executive scorecard—progress you can defend in minutes, not months.
• Architects can execute tomorrow: selective steering beside your existing stack, “default-then-tune” workflows, and a repeatable 90-day cadence.

Who It’s For

Security leaders ready to operationalize AI—with guardrails, with proof, and with a workforce that learns to rely less on those guardrails over time.

Get the whitepaper: From Shadow AI to Smarter Work