SaaS sprawl management

For SaaS sprawl, I’d start by evaluating Flexera One SaaS Management, 1Password SaaS Manager, and Zylo. The key is choosing a platform that does more than inventory your applications: it should uncover shadow IT, identify unused licenses, and give your team a practical way to eliminate waste.

My recommendation depends on whether your biggest problem is security visibility, license-cost reduction, or automating SaaS operations.

My shortlist

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1. Flexera One SaaS Management

(Best starting point for broad discovery)

Flexera combines multiple discovery methods, including financial data, SaaS integrations, browser extensions, SSO and security tools. It also analyzes actual usage to identify unused licenses, redundant subscriptions and opportunities to downgrade plans.www.flexera.com+1

Best for: Organizations that need broad shadow IT visibility alongside cost optimization, especially those managing a wider IT asset portfolio.

Website:Flexera SaaS Management

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2. 1Password SaaS Manager

(Best for SaaS discovery and access governance)

Combines discovery of managed and unmanaged SaaS and AI tools with access reviews, lifecycle automation and license-spend optimization. Its discovery approach draws on identity providers, finance systems, and browser and credential-related signals.1password.com+1

Best for: IT and security teams that want to find unauthorized applications and then govern access, not just report on spending.

Website:1Password SaaS Manager

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3. Zylo

(Best to evaluate for SaaS spend management)

A dedicated SaaS management platform worth including when you need to consolidate SaaS spend data, understand your application portfolio and identify license optimization opportunities. Compare its coverage of expense-driven shadow IT and verified usage data against Flexera in a proof of concept.www.ciopages.com+1

Best for: Finance, procurement and IT teams that need a consolidated view of SaaS spending and renewals.

Website:Zylo

How they compare

Comparison based on published vendor capabilities, not independent hands-on testing.www.flexera.com+2

One additional platform worth putting on your shortlist is Torii. Its discovery-first approach links browser-detected apps with usage, ownership and spending data, then supports automated license reclamation and employee onboarding/offboarding. www.toriihq.comwww.toriihq.com See Torii's platform.

What I would test before buying

Don't select a vendor based on the number of integrations alone. Run a proof of concept and measure:

• Discovery coverage: Can it find applications paid for on corporate cards, employee expenses, and departmental budgets, including apps outside your SSO?
• License accuracy: Can it distinguish genuinely unused licenses from people who use an app infrequently?
• Realized savings: Can it identify specific seats to reclaim, cheaper license tiers, duplicate tools and upcoming renewals?
• Actionability: Can it automate deprovisioning and produce an audit trail?
• Time to value: How quickly can it connect your identity provider, finance systems and major SaaS applications?

Ask each vendor to demonstrate these against a sample of your actual applications and invoices. Calculate ROI using verified annual savings minus platform fees and implementation costs, rather than relying on vendor-reported savings percentages.

One question to narrow this down

What best describes your organization?

1. Company size

Under 250 employees

250–1,000 employees

1,000–5,000 employees

Over 5,000 employees

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2. Primary objective

Find shadow IT and reduce security risk

Reduce license costs and improve renewals

Both equally

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3. Identity platform

Microsoft Entra ID / Azure AD

Okta

Google Workspace

Multiple platforms / other

[Find the best fit]

Yes. For a serious SaaS-landscape audit, I’d use a SaaS management platform as the central inventory, then enrich it with your identity provider, finance/procurement, and—where needed—application telemetry.

Best-fit tools

A current 2026 buyer's guide similarly distinguishes these platforms by their emphasis: Zylo/Productiv on engagement and license optimization, Torii on discovery/automation, and BetterCloud on security/access operations.www.ciopages.com

My shortlist

1. Zylo — best if your goal is a financial + operational SaaS inventory

Zylo positions itself as a system of record for SaaS/AI spend, with discovery, license tracking, categorization, cost allocation and usage information. Its current dataset claims 40M+ licenses tracked and $100B+ in SaaS, AI and cloud spend analyzed.zylo.com

I'd favor it if your audit questions are:

• What SaaS vendors do we actually have?
• What are we spending?
• How many licenses do we own?
• Who is using them?
• Which licenses are inactive?
• What renewals are coming up?
• Where are we paying for overlapping tools?

2. Productiv — best if "actual usage" is the centerpiece

Productiv is particularly worth evaluating when you need to distinguish licenses purchased from people actually engaging with the product. That's important for determining whether a deployment is broad, departmental, or essentially shelfware.

3. Torii — best for discovery + automation

I'd look closely at Torii if you want the audit to become an ongoing operating process rather than a one-time spreadsheet exercise: discovering applications, connecting them to users, and automating lifecycle/access workflows.

4. Zluri — strong all-around alternative

Worth putting into an RFP alongside Zylo/Productiv/Torii, particularly if you want SaaS discovery, spend management and identity/access workflows in one platform.

Don't overlook your existing identity platform

If you already use Okta, you may be able to answer a surprisingly large portion of the audit without buying another tool. Okta's Application Usage report shows who signed into application integrations, login counts and last-login information; its User App Access report shows who can access applications and how access was granted.help.okta.com

The limitation is important: Okta primarily tells you about applications connected to/visible through Okta. It won't reliably discover every SaaS subscription purchased on a corporate card or applications employees access without going through your identity layer.

Likewise, Microsoft Entra can provide application-centric sign-in information, including top-used applications and last sign-in dates.learn.microsoft.com

If you have Microsoft's Global Secure Access capabilities, its application analytics go further: discovered cloud apps can include users, transactions, traffic volume, first/last access and risk information, which makes it useful for finding shadow IT.learn.microsoft.com

The architecture I'd recommend

Rather than expecting one tool to answer everything, I'd build the audit around four evidence sources:

1. SaaS management platform → master vendor/application inventory

2. Okta or Entra → users, groups, SSO assignments, authentication activity

3. AP/expense/procurement data → what the organization actually paid for, including non-SSO SaaS

4. Application/API telemetry → meaningful product usage where login data isn't enough

Then create a normalized record for every vendor:

Vendor → product → business owner → department → contract → spend → licenses purchased → licenses assigned → active users → usage frequency → data sensitivity → integrations → renewal date → deployment scope

That distinction between assigned, active, and meaningfully used is particularly important. A user logging into an application once isn't necessarily evidence that the application is providing value.

If I were choosing today

I'd shortlist Zylo, Productiv, and Torii for a formal evaluation, with Zluri as a fourth contender. If you're already heavily invested in Microsoft or Okta, I'd first extract what those platforms can tell you and use it as a baseline before purchasing another system.

If you tell me roughly your company size, whether you're on Microsoft 365 or Okta, and whether the primary goal is cost reduction, security, or just inventory, I can turn this into a specific 5–7 tool evaluation matrix with pricing approach, integrations, discovery method, usage metrics, and pros/cons.

If shadow IT discovery and control is the primary problem, I’d put Zylo, BetterCloud, and Torii on the shortlist rather than choosing a generic SaaS-spend tool.

How I’d compare them

Zylo is particularly interesting if your unsanctioned apps are being bought on corporate cards or expensed. Its discovery engine correlates financial, identity and operational signals, then lets you investigate ownership, adoption and risk.Zylo+1

BetterCloud is compelling if "discover" isn't enough and you want IT to do something about what it finds. It discovers sanctioned and unsanctioned applications through signals including SSO, browser activity and ERP data, then provides workflows for governance, access management, license reclamation and remediation. BetterCloud BetterCloud Its 2026 platform also added explicit AI-governance capabilities for shadow AI.BetterCloud

Torii belongs in the evaluation if your priority is discovery combined with identity/access automation; I would specifically test its coverage against your IdP, expense system and browser/endpoint telemetry rather than relying on vendor claims.

My practical recommendation

If your requirement is:

"Find every SaaS app employees are using without IT approval, identify who owns it and why they're using it, assess the risk, and give IT a way to remediate it." I'd run a POC with Zylo and BetterCloud, with Torii as the third comparison.

The key isn't the size of the app catalog. During the POC, give each vendor 30–50 known shadow-IT examples and measure:

1. Discovery recall: what percentage do they actually find?
2. Detection latency: how quickly does a newly adopted app appear?
3. Signal coverage: SSO, expense/AP, browser, OAuth, endpoint, procurement, etc.
4. Attribution: can they identify the user, department and business owner?
5. Risk context: can you see what data/access the app has?
6. Remediation: approve, quarantine/block, revoke access, reclaim license, or route for review.
7. Shadow AI: can it find AI tools that aren't necessarily traditional SaaS subscriptions?
8. Automation: can those actions happen automatically after policy/approval?

One important caveat: don't buy based on a vendor's "number of apps discovered" claim. Discovery methodology matters much more. For example, Zylo emphasizes financial/expense discovery, while BetterCloud describes discovery across SSO, browser and ERP signals. Those approaches can produce substantially different inventories.Zylo+1

If you tell me your employee count, IdP (Okta/Entra/Google), and whether expense/AP data is available, I can narrow this to the 2–3 platforms I'd actually put through an RFP, with a POC scorecard and specific tests.