We have SaaS sprawl. What's a good SaaS management platform to discover shadow IT and optimize license costs?

If shadow-IT discovery + license-cost reduction are the two priorities, I’d put Zylo at the top of the shortlist.

My shortlist

Why Zylo: it combines discovery from financial, identity, and operational systems with usage, contract, and spend data. That means you can go from “we found this unapproved app” to “who owns it, what are we spending, is anyone actually using it, and should we consolidate or eliminate it?”

It also specifically supports identifying inactive/underutilized licenses and reclaiming or downgrading them before renewals.

One important 2026 caveat: I would not put Productiv on a new shortlist. A recent report says Productiv announced that it was sunsetting its platform in August 2026.

What I'd test in a vendor demo

Don't let vendors win you over with a pretty application inventory. Ask them to demonstrate:

• Shadow IT discovery: Can it find apps purchased through corporate cards, expense reports, browser activity, SSO, and direct integrations?
• Usage depth: Does “unused” mean merely no login, or can it measure meaningful feature/license utilization?
• License reclamation: Can it automatically identify, approve, and execute reclaim/downgrade workflows?
• Renewal optimization: Can it combine actual usage + contract entitlements + historical pricing to tell Procurement what to renegotiate?
• Application consolidation: Can it identify overlapping tools across departments?
• AI sprawl: Can it discover unauthorized AI tools and associated spend?
• Time-to-value: How much data needs to be integrated before you get a useful inventory?

For your stated problem, I'd demo Zylo and Torii head-to-head, using your own expense/AP, SSO, and a few high-spend SaaS contracts as the test data. Torii is particularly interesting if you want discovery to lead directly into ongoing policy and automation; it says its discovery starts at the browser and connects apps to usage and spend.

If you tell me roughly company size, number of SaaS apps, and whether Procurement or IT owns the problem, I can narrow this to a top 2 with a buying scorecard and estimated implementation complexity.

One important 2026 caveat: I would not put Productiv on a new shortlist. A recent report says Productiv announced that it was sunsetting its platform in August 2026.

What I'd test in a vendor demo

Don't let vendors win you over with a pretty application inventory. Ask them to demonstrate:

Tackling SaaS sprawl requires a SaaS Management Platform (SMP) that blends multi-source discovery (finance, SSO, browser/email signals, and direct integrations) with deep license utilization tracking.

The top-rated platforms on the market excel at uncovering shadow IT and optimizing spend:

• Zylo : The pioneer in a financial-first approach. It connects deeply with ERP, expense, and credit card data to map out every dollar spent on software, making it exceptionally strong for license optimization, duplicate tool identification, and upcoming renewal tracking.
• Zluri : Known for massive direct integration coverage (800+ apps) and powerful discovery engine automation. It uses a multi-discovery approach (SSO, finance, and desktop agents/browser extensions) to spot hidden shadow IT and unused or underutilized user licenses.
• Torii : Built heavily with IT operations and workflow automation in mind. It offers fantastic real-time discovery of shadow IT via identity providers, network logs, and browser extensions, and lets you automate offboarding or license reclamation easily.
• CloudEagle : An AI-driven platform that excels at matching procurement data with actual user activity. It's great if your goal is streamlining vendor negotiations alongside pinpointing redundant SaaS subscriptions.
• Nudge Security : A unique, modern contender that focuses heavily on employee-driven shadow IT and AI tool sprawl. It analyzes email registration metadata to instantly alert you when employees spin up unsanctioned SaaS or generative AI tools using corporate credentials.

If you want to narrow this down, tell me:

• Roughly how many employees or approximate annual SaaS spend you are dealing with
• Whether your discovery needs lean more financial-first (accounting/procurement) or security/identity-first (SSO/OAuth/email logs)

I can help you pick the ideal platform fit for your team size.

Tackling SaaS sprawl requires a SaaS Management Platform (SMP) that uses multi-layered discovery . Relying only on finance/expense data misses free or bottom-up tools, while relying only on SSO misses apps bought with corporate credit cards.

The top-rated SMPs excel at combining financial records, OAuth grants, browser telemetry, and direct integrations to surface shadow IT and optimize licenses.

• Zluri — Best for deep automated discovery and cost optimization. It uses five distinct discovery methods (SSO, finance, direct app integrations, browser extensions, and desktop agents) to map out complex estates, making it exceptional at finding hidden shadow IT and identifying unutilized or underused licenses.
• Torii — Best for agile IT operations and workflow automation. Torii stands out for user-friendly shadow IT discovery, proactive alerts on upcoming renewals, and event-based SaaS lifecycle automation (e.g., automatically revoking licenses when an employee departs).
• Nudge Security — Best for modern, employee-driven shadow IT and AI tool sprawl. It takes a security-first approach by analyzing OAuth consents and email registration metadata to discover unsanctioned SaaS and generative AI apps the moment an employee signs up with a corporate identity.
• CloudEagle — Best for procurement-heavy mid-market and enterprise teams. It blends AI-powered app discovery with deep vendor management workflows, helping you not only see what licenses you have, but actively renegotiate contracts during renewal cycles.
• BetterCloud — Best for deep operational control and access governance. While it handles discovery, BetterCloud shines brightest in automated remediation—enforcing security policies, managing user permissions, and cleaning up access across core enterprise apps.

To help narrow down the best fit, tell me:

• What is your approximate company size / number of employees?
• Are you more focused on strict security/compliance or aggressive budget reduction?

If your two main goals are (1) discovering shadow IT and (2) reducing SaaS/license spend, I’d shortlist Zylo and Torii, with Productiv as another strong option.

My pick: Zylo

For your stated problem, Zylo is probably the best starting point. Its discovery engine combines financial data, SSO/identity data, and integrations to uncover applications that IT may not know about—including shadow IT and AI tools. It then connects spend + contracts + usage + licenses, which is exactly what you need to determine whether to reclaim, downgrade, consolidate, or eliminate software.

When I'd choose Torii instead

Choose Torii if you want the platform to go beyond reporting and automate the remediation. Torii emphasizes browser-level discovery, license-level usage, ownership, and automated reclamation/downgrades, plus onboarding/offboarding and access workflows.

The key buying test

Don't let vendors win the evaluation simply by showing you a beautiful SaaS inventory. I'd run a proof-of-value against:

1. Discovery: Connect expense/AP, SSO/IdP, HRIS, browser/endpoint data and see how many previously unknown apps they find.
2. License waste: Give them 5–10 major applications and see whether they identify genuinely unused/underused seats—not merely users who haven't logged in recently.
3. Savings: Have them quantify reclaimable licenses and upcoming renewal savings.
4. Action: Test whether they can actually reclaim/downgrade licenses or whether they just produce a report for your IT team.
5. Shadow IT workflow: See how easily an employee's new unapproved app gets detected, assigned an owner, risk-reviewed, approved/consolidated, or shut down.
6. Renewals: Make the vendor demonstrate how you'd prepare for a real renewal using contract terms, usage, historical spend and benchmarks.

Bottom line: If you're primarily a CIO/ITAM/procurement organization trying to get control of SaaS spend, start with Zylo. If you're an IT operations team that wants discovery tightly coupled to automated access and license workflows, put Torii head-to-head with it.

If you tell me roughly company size, annual SaaS spend, and whether you use Okta or Microsoft Entra, I can narrow this to the 2–3 platforms I'd actually put through an RFP.

When I'd choose Torii instead

Choose Torii if you want the platform to go beyond reporting and automate the remediation. Torii emphasizes browser-level discovery, license-level usage, ownership, and automated reclamation/downgrades, plus onboarding/offboarding and access workflows.

Yes. If your two primary goals are finding shadow IT and cutting SaaS/license waste, I’d put Zylo at the top of the shortlist.

My shortlist

Why Zylo: Its discovery combines financial data, SSO and other sources to uncover applications that IT may not know about, including purchases made through expenses/cards. It then correlates spend + usage + contracts + licenses, which is exactly what you need to decide whether to reclaim seats, consolidate apps, or renegotiate renewals.

Zylo also says its platform is built on $75B+ of SaaS and cloud spend data and tracks 40M+ normalized licenses, giving it a particularly strong angle for benchmarking and renewal negotiations.

Torii is the strongest alternative if your bigger problem is continuous discovery and automated governance. It can discover apps that never touch your IdP/SSO, including through browser activity, and ties them to owners, licenses, usage and spend.

What I'd evaluate in a demo

Don't let vendors just show you an attractive application inventory. Give them a concrete test:

1. Discovery: “Find applications purchased outside our approved procurement process.”
2. License waste: “Show me users who haven't meaningfully used their assigned licenses.”
3. Redundancy: “Find overlapping apps serving the same business function.”
4. Renewals: “Which contracts renewing in the next 90–180 days have the biggest savings opportunity?”
5. Action: “Can you actually reclaim/deprovision seats, or do you just give me a report?”
6. Finance reconciliation: “Can you reconcile what our cards/AP show against what SSO and the SaaS inventory show?”

That last point is important: discovery alone doesn't save money. The valuable platform is the one that connects “we didn't know this app existed” → “here's who uses it” → “here's what it costs” → “these 137 seats can be reclaimed.” A recent 2026 buyer guide similarly distinguishes platforms by how well they move from discovery to actual reclamation/automation.

Bottom line: Start with Zylo vs. Torii, and add Productiv if license-utilization analytics are especially important. For a finance/procurement-led SaaS optimization initiative, I'd lean Zylo; for an IT/security-led initiative centered on continuous discovery and governance, I'd lean Torii.

Tackling SaaS sprawl requires a SaaS Management Platform (SMP) that looks beyond what IT explicitly provisions. Because roughly a third of an organization’s apps are brought in via shadow IT , single-source discovery (like looking only at Okta or Entra ID) will miss things bought on corporate credit cards or via free browser trials.

The top platforms on the market approach discovery, shadow IT detection, and license optimization with distinct strengths:

• Zylo : Best for financial-first discovery and enterprise spend tracking. It analyzes expense reports, accounts payable, and procurement data to establish a complete spend baseline, and uses massive transaction databases to benchmark pricing for upcoming renewals.
• Zluri : Best for combining deep shadow IT discovery with identity governance. It deploys a multi-source discovery engine (SSO, finance, direct APIs, and browser extensions) to surface unauthorized apps and flag dormant or "zombie" licenses for reclamation.
• Torii : Best for IT operations and workflow automation. It excels at multi-method discovery combined with a robust no-code automation builder to instantly trigger onboarding, offboarding, and app-request approvals.
• Nudge Security : Best for discovering shadow IT and shadow AI. Rather than starting with known enterprise apps, it maps out every SaaS and unvetted AI tool that employees register using their corporate email credentials, giving you a security posture breakdown in days.
• Productiv : Best for deep, feature-level usage analytics. Instead of just tracking whether someone logged in once a month, it measures actual feature utilization so you can safely downgrade or reclaim underused enterprise licenses.

To help narrow down which platform fits your environment best, tell me:

• Company size / approximate user count
• Your primary identity provider (e.g., Okta, Google Workspace, Azure AD/Entra ID)
• Whether your biggest pain point is hidden security/shadow AI or purely cutting license waste

I can give you a tailored recommendation on where to start.

To fix SaaS sprawl, uncover shadow IT, and right-size license costs, the top SaaS Management Platforms (SMPs) combine financial spend data, Single Sign-On (SSO) logs, and direct API integrations to build a single source of truth . Leading platforms tailored for these exact challenges include Zylo (best for deep spend analysis and contract benchmarking), Zluri (best for deep user-level app discovery and granular usage tracking), and Nudge Security (best for lightweight, identity-led shadow IT and shadow AI discovery).

Top SaaS Management Platforms

• Zylo : Focuses heavily on financial and spend-first discovery, parsing expense reports, credit cards, and invoices alongside SSO to give an accurate picture of total waste and upcoming renewals.
• Zluri : Offers robust multi-source discovery paired with over 800 direct integrations to monitor exact feature-level usage and reclaim dormant or duplicate licenses.
• Nudge Security : Takes an innovative identity-centric approach to surface unmanaged, employee-led shadow IT and rogue AI tools immediately through sign-up and OAuth grant monitoring.
• Torii : Built specifically for automated IT operations, making it easy to orchestrate user lifecycle workflows, automated provisioning, and app offboarding.
• BetterCloud : Focuses deeply on administrative control, security policy enforcement, and role-based automated remediation across core suites like Google Workspace and Microsoft 365.

Key Features to Look For

• Automated Discovery: Crawls financial systems, Okta/Entra ID logs, and browser activity to catch unauthorized or free-tier sign-ups.
• Usage Analytics: Measures actual login frequency and seat activity rather than relying on total purchased quantities.
• License Optimization: Identifies duplicate functional tools across different business units and flags unassigned or inactive seats for immediate downsizing.
• Renewal Workflows: Tracks contract expiration dates and provides notification alerts well in advance of automatic vendor revivals.

If you can share your company size and primary identity provider (e.g., Okta, Google Workspace, Microsoft Entra ID) , I can recommend which platform will integrate best with your environment.

If your two main goals are (1) finding shadow IT and (2) actually reducing SaaS/license spend, I’d shortlist Zylo, Productiv, and Torii—with Zylo as my default pick for a mature SaaS-sprawl problem.

My pick: Zylo

Zylo has particularly good coverage of the financial side of SaaS sprawl. It discovers applications through financial, identity, and operational systems—including expense/AP data—then connects spend + contracts + usage + licenses. That makes it useful for finding things employees bought outside IT and deciding what to do about them.

Its license optimization capabilities specifically identify inactive/underused users, reclaim seats, and help avoid buying additional licenses or getting hit with true-ups.

It also has a strong renewal/procurement angle: it can prioritize renewals based on savings potential and benchmark spend against its SaaS dataset.

When I'd choose Productiv instead

Productiv is compelling if your biggest challenge is understanding whether people actually use the software you're paying for. It combines SSO, expense, contract, and usage data and emphasizes deeper application/feature-level usage analytics, duplicate detection, rightsizing, and renewal decisions.

What I'd test in a vendor evaluation

Don't let vendors win based on the prettiest SaaS inventory. Run a proof-of-value against your actual data and ask them to demonstrate:

1. Discovery: What percentage of your expense-card/AP SaaS purchases do they uncover?
2. Identity correlation: Can they map an app to users, department, owner, and SSO activity?
3. License waste: Show me inactive seats and recommend reclaim/downgrade actions.
4. Duplicates: Find overlapping tools doing essentially the same job.
5. Renewals: Give me a prioritized list of upcoming renewals with projected savings.
6. AI sprawl: Detect unsanctioned AI tools purchased via cards/expenses.
7. Actionability: Can it actually trigger deprovisioning/reclamation workflows, rather than just produce reports?

That's important because current SaaS-management evaluations increasingly distinguish between platforms that merely discover sprawl and ones that can act on it and prove savings.

Bottom line: If you have a sizable enterprise SaaS estate and Finance/Procurement cares about measurable savings, I'd put Zylo first, Productiv second, and Torii third on the initial RFP. If you tell me roughly company size, number of SaaS apps, and whether you use Okta/Microsoft/Google + an expense system, I can narrow that to a 2–3 vendor shortlist and give you the RFP questions I'd use.

If your two priorities are (1) finding shadow IT and (2) actually cutting SaaS/license spend, I’d put Zylo and Productiv at the top of the shortlist.

My pick: Zylo

Zylo is particularly strong if shadow SaaS is the problem you don't know the full extent of yet. Its discovery engine correlates financial, identity, and operational data, and it explicitly supports discovering and then acting on unmanaged applications—not merely putting them into an inventory.

That matters because I'd evaluate these products on "Can it find it?" → "Can it prove it's unnecessary?" → "Can it help me get rid of it?", rather than just how attractive the SaaS inventory looks.

Productiv is a very close alternative

I'd lean toward Productiv if your biggest objective is license utilization and renewal optimization. It combines spend, contracts, organizational data, and actual application engagement to recommend reclaiming unused licenses or moving users to lower tiers. It can also discover shadow IT from expenses, payments, and network activity.

Its current platform also emphasizes feature-level usage, price benchmarks, duplicate-tool detection, and renewal workflows.

What I'd demand in a proof-of-concept

Don't let vendors win based on a polished application inventory. Give each vendor the same 5 tests:

1. Discover non-SSO apps — especially things employees bought on corporate cards.
2. Find duplicate tools — e.g. three project-management or collaboration products doing essentially the same job.
3. Identify license waste — distinguish "hasn't logged in" from genuinely unused/under-utilized licenses.
4. Optimize tiers — find users paying for Enterprise/Premium who only need lower-tier functionality.
5. Prove savings — take 10 upcoming renewals and have the platform produce an actionable recommendation for each.

Also ask exactly which data sources are required for discovery. SSO alone can miss a lot of shadow IT; the strongest platforms combine identity, financial/expense, contract, and usage signals. Zylo and Productiv both emphasize multi-source discovery.

Bottom line: I'd run an RFP with Zylo + Productiv + Torii as the core shortlist. If you tell me your employee count, approximate number of SaaS apps, whether you're on Okta or Entra, and whether Finance/card data can be integrated, I can narrow that to the best 1–2 and give you a concrete POC scorecard.

Tackling SaaS sprawl requires a SaaS Management Platform (SMP) that does more than just read Single Sign-On (SSO) logs—since SSO only shows you the tools you already know about . The best platforms combine financial/expense data, direct API integrations, and identity/browser signals to catch unapproved shadow IT and shadow AI.

Top SaaS management platforms are tailored for different organizational needs:

• Zylo — Best for enterprise spend and financial optimization. Zylo is a market leader for large portfolios, heavily backed by robust contract intelligence and the industry's largest benchmarking dataset. It excels at tying usage directly to financial/invoice data and managing upcoming renewals.
• Zluri — Best for deep user-level app visibility and license reclamation. Zluri combines powerful shadow IT discovery with identity governance (IGA). It drills deep into actual usage patterns at the user level, making it exceptionally strong for finding inactive licenses you can safely deprovision.
• Torii — Best for IT operations and workflow automation. Torii offers rapid shadow IT discovery alongside a very flexible, user-friendly automation engine. If your goal is to immediately trigger automated onboarding/offboarding or approval workflows the second an app is detected, Torii shines.
• Nudge Security — Best for discovery-first security and shadow AI tracking. Nudge takes a distinct approach by focusing heavily on employee-led adoption (including rogue AI tools and browser-based sign-ups) mapped through corporate identity touchpoints, standing up a baseline inventory remarkably fast.
• BetterCloud — Best for administrative control and remediation. BetterCloud is an operations powerhouse for enforcing data protection policies and automating user lifecycles across an existing stack, though it is less focused on raw spend benchmarking.

To help narrow down the ideal platform for your team, let me know:

• Company size / employee count
• Your primary tech stack or identity provider (e.g., Okta, Google Workspace, Microsoft Entra ID)
• Whether your primary pain point is pure financial waste/renewals or security/shadow IT risk