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AI Governance

See every AI system. Govern all of it.

Scytale discovers every AI tool and agent running in your business, classifies its risk, and keeps policy and monitoring running continuously so, nothing goes unseen or ungoverned.

Trusted by 1000+ companies worldwide.

700+ reviews / 4.8 score

The solution

From guesswork to a governed system.

Most organizations can’t answer this question with confidence: which AI tools and agents are actually running against our data right now, and are we handling them the way we’re supposed to? Scytale has a continuously updated agent inventory of every AI system you use. From there, that inventory feeds everything else: risk classification, policy and procedure automation, continuous monitoring, and a clear owner for every system.

AI Inventory

Continuously updated

47 AI systems3 new

ChatGPT EnterpriseOpenAI · 212 users

ClaudeAnthropic · engineering

Support agentAWS Bedrock · customer data

CopilotMicrosoft 365 · org-wide

Discover agent across surfaceFor every system

Risk classificationTiered by real reach

Continuous monitoringFlagged in real time

Policy & procedure automationMapped to controls

What's inside

Full AI governance, in one place.

01 01

AI discovery and inventory

Most organizations find out about a new AI tool when something goes wrong. Scytale scans your identity provider, cloud accounts, code repositories and SaaS apps continuously, surfacing every AI tool, model and agent in use. Every system lands in a single, real-time living record: who owns it, what it’s for, what data it touches, and what risk it carries.

Risk Classification

Monitoring 12 models & agents

Support agentAWS Bedrock · production

What it can actually reach

ModelClaude Sonnet

OwnerJ. Rivera

PermissionsRead & writeBroad

Data accessCustomer DBSensitive

Risk level82/100High risk

LowMediumHigh

Live risk signals5 open

Prompt injection attemptSupport agent · Blocked a hidden instruction in a customer email High2m ago

PII sent to modelSales research agent · Customer phone numbers in a prompt High14m ago

Permission driftGemini · Workspace · Gained write access to shared Drive Medium1h ago

Unreviewed model changeCodex · coding agent · Switched to a newer model version Medium3h ago

New unsanctioned useGrok · Detected in 2 more browsers Low5h ago

02 02

Contextual risk classification

Treating two AI systems with access to your customer database the same is where governance breaks. Scytale classifies every AI system by what it can actually reach, the model, owner, and permissions, so risk tiers reflect reality. From there, run assessments against EU AI Act, ISO 42001, and NIST AI RMF, with the evidence attached.

03 03

Runtime monitoring

Approving an AI system once doesn’t mean it stays that way. Models get updated. Agents accumulate permissions. Scytale watches AI agents as they run, so risk activity is flagged in real time to the right owner.

Runtime Monitoring

Watching 12 agents

Sales research agentOpenAI Assistants · running

OwnerM. Chen

Approved scopeCRM read-only

Permissions+1 this week

Model versionupdated 2d ago

09:41Queried CRM contactsWithin approved scopeAllowed

09:43Summarized Q3 pipelineWithin approved scopeAllowed

09:46Permission changeRequested write access to billingReview

09:47Read 1,204 customer recordsSensitive data · outside approved boundaryFlagged

Alert routed to M. Chen · agent paused pending review

Policy Automation

Review cycle running

AUPAI Acceptable Use Policyv3.2 · last reviewed 12 days ago

Updated by AI

§4.2 Staff using AI systems must complete AI literacy training, aligned to new regulatory guidance.

Review cycle

Drafted by AI

Legal review

Owner approvalIn progress

Published

ISO 42001 · A.2.2NIST AI RMF · GOVERN 1.2EU AI Act · Art. 4

04 04

AI policy & procedure automation

Writing AI use policies is the easy part. Keeping them current as regulations shift, new tools get adopted and your stack evolves is where most teams fall behind. Scytale automates the creation, review cycle and update process for AI use policies and procedures, mapping each one to the controls it supports.

05 05

Native AI platform integrations

Governance only works if it can see what’s running. Scytale connects directly to OpenAI, Anthropic, Google Gemini & Vertex, AWS Bedrock & AgentCore, and Microsoft Agent 365, pulling agents, models, usage and activity straight from the platforms your teams build on, without requiring manual input or waiting for someone to report a new deployment.

06 06

Audit-ready reporting

When an auditor, customer, or board member asks about your AI governance posture, the answer shouldn’t require three days of manual prep. Scytale keeps a continuously updated, evidence-backed view of every AI system, ready to export with the documentation already mapped to the frameworks you’re accountable to.

Alexander Groth

IT Compliance Lead

Scytale centralizes Sport Alliance’s scaling GRC program, integrating with our tech stack to surface gaps automatically, and gives us a single, structured place to manage policies, risk, and vendors.

Amit Levran

Head of Security

Scytale gives us real-time visibility into compliance drift and automated detection of risks, with instant insights into gaps, such as orphaned accounts and exposed systems, enabling teams to act before issues escalate.

Dolev Weiss

CTO

Continuous monitoring replaced periodic testing cycles, giving leadership a live view of control performance and reducing last-minute audit risk.

AI compliance frameworks

Every AI system you govern maps to the same ecosystem you're already accountable for.

Scytale helps companies get compliant in all AI compliance frameworks, including ISO 42001, the EU AI Act, NIST AI RMF and AIUC-1. Scytale’s AI governance shows up alongside every other control and piece of evidence you’re tracking.

Scytale supports 80+ security, privacy and AI frameworks, with control cross-mapping built in.

ISO 42001

Defines requirements for managing AI systems responsibly, covering governance, risk, and ethical use of AI.

EU AI Act

EU regulation that classifies AI systems by risk and sets obligations for providers and deployers.

NIST AI RMF

US framework for identifying, measuring, and managing risks across the AI system life cycle.

AIUC-1

Standard for AI agents covering security, safety, reliability, and accountability.

Impact

Every AI system accounted for.

average number of AI tools/agents discovered.

time to build a complete AI inventory.

0 m

time saved automating AI use policy creation/updates..

0 m

Learn more about AI governance.

Blog

AI Governance Maturity Model: Where Does Your Organization Actually Stand?

Learn more

Blog

AI for SOC 2: What Every Company Should Know

12 min read

GRC Center

AI Policy and Governance: Shaping the Future of Artificial Intelligence

11 min read

Blog

Breaking Down the EU’s AI Act: The First Regulation on AI

6 min read

Blog

What is ISO 42001? Structure, Responsibilities and Benefits

10 min read

FAQ

Frequently asked questions.

What is AI governance?

AI governance is the practice of discovering, assessing, monitoring, and overseeing the AI systems, models, and agents an organization uses, so that use stays safe, accountable, and aligned with policy. Scytale approaches AI governance by building a continuously updated AI inventory, then layering risk classification, policy automation, monitoring, and human oversight on top of it.

What is an AI inventory, and why does it matter?

An AI inventory is a centralized, current record of every AI tool, model, and agent an organization uses, including who owns it, what it accesses, and its risk level. Every other governance decision depends on knowing what’s actually running, which is why Scytale builds it automatically rather than relying on self-reporting.

What is "shadow AI," and how does Scytale help find it?

Shadow AI refers to AI tools and agents adopted by teams without security or compliance knowledge. Scytale surfaces shadow AI by automatically discovering AI systems across an organization’s connected stack, including cloud and LLM integrations, instead of waiting for someone to report a new tool.

Does AI governance replace human review?

No. Scytale’s AI governance automates discovery, classification, and drafting, but every AI system has a named owner and every judgment call routes to a person, including Scytale’s expert GRC team. Automation handles the busy work; people stay in control.

How is Scytale's AI governance different from a one-time AI risk assessment?

A one-time assessment reflects a single point in time. Scytale continuously monitors an organization’s connected stack for new or changed AI systems, so the AI inventory, risk classification, and policy mapping behind it all stay current.

Get Started

Stop guessing what AI is running in your business. Start governing it.

See how Scytale turns a continuously updated AI inventory into risk classification, policy automation, and human-owned oversight you can act on.