Top 10 Platforms to Discover Shadow IT and Manage Unapproved Software Usage

October 19, 2025

Walter Write

Walter Write

23 min read

Dashboard showing unused SaaS licenses and cost savings opportunities

Key Takeaways

Q: What is shadow IT and why does it matter?
A: Shadow IT refers to software, applications, and services used within an organization without IT department approval or knowledge. Studies show approximately 30% of applications in use are unsanctioned. This creates security vulnerabilities, compliance risks, data governance gaps, and budget opacity that can lead to breaches, regulatory violations, and wasted spending.
Q: Why do employees use shadow IT despite approved alternatives?
A: Common reasons include: approved tools don't meet their needs, IT approval processes are too slow, they're unaware of approved alternatives, they want specific features IT-sanctioned tools lack, or they prioritize convenience over security. Understanding these motivations is key to effective shadow IT management.
Q: How do shadow IT discovery platforms work?
A: They use multiple detection methods: monitoring network traffic for cloud service connections, analyzing device-level application usage, reviewing credit card and expense reports for SaaS subscriptions, integrating with identity providers to see authentication patterns, and scanning browser activity for web-based tools.
Q: Can you eliminate shadow IT completely?
A: Complete elimination is unrealistic—employees will find workarounds when they need tools. The goal is visibility and governance: discover what's being used, assess risks, approve safe alternatives, block dangerous tools, and make approved options compelling enough that shadow IT is unnecessary.

SignalSourcePrimary Risk
NetworkUnknown domains, SaaS endpointsData exfiltration, no DLP controls
IdentitySSO bypass, unmanaged loginsOrphaned accounts, weak auth
SpendCard charges, expense reportsShadow renewals, budget waste
Picture this: Your company has strict data security policies. Customer information must stay within approved, compliant systems. Your IT team carefully vets and secures every application in the official tech stack.
Then you discover that your sales team has been using a free CRM tool to track leads—storing customer data in an unsecured, unapproved cloud service. Your engineering team uses a file-sharing tool IT never approved. Marketing runs campaigns through platforms IT doesn't even know exist.
Welcome to the shadow IT problem. Research shows that approximately 30% of applications actively used in organizations are completely unsanctioned—unknown to IT, unvetted for security, ungoverned for compliance, and creating massive risk.
If you're a CIO, CISO, or IT security leader, this reality keeps you up at night. How do you secure what you can't see? How do you enforce policies when employees can subscribe to any SaaS tool with a credit card? How do you balance control with the legitimate need for employees to be productive?
The answer isn't draconian lockdown (which drives shadow IT underground) but rather intelligent discovery and governance. Modern platforms help IT teams identify unsanctioned applications, assess their risks, and provide viable alternatives—transforming shadow IT from invisible threat into managed reality. Let's explore the solutions that illuminate the darkness.

Why Does Shadow IT Happen and What's at Stake?

Platforms like Abloomify, Zylo, and Netskope discover shadow IT through network monitoring, device agents, SSO integration, and expense analysis to address risks from IT approval bottlenecks, inadequate approved alternatives, and consumerization of SaaS that drives employees toward unsanctioned tools.

Why shadow IT happens

IT approval bottlenecks: When getting a new tool approved takes weeks or months, employees subscribe directly to meet immediate needs.
Inadequate approved alternatives: IT-sanctioned tools sometimes lack features teams need, driving them to better alternatives—even if unsanctioned.
Lack of awareness: Employees genuinely don't know they should get IT approval, especially for "free" tools or browser extensions.
Convenience over security: Individual productivity often trumps organizational security in employees' decision-making.
Department-specific needs: Marketing, sales, and operations have specialized tool requirements IT may not understand or prioritize.
Remote work acceleration: Work-from-home expansion gave employees more autonomy over their tool choices, reducing IT visibility.
Consumerization of IT: Tools are now so easy to adopt (sign up with email, pay with credit card) that traditional procurement processes seem unnecessary.

The risks shadow IT creates

Security vulnerabilities: Unsanctioned applications may have weak security, creating entry points for breaches. Data may be stored in insecure locations or transmitted without encryption.
Compliance violations: Industries like healthcare, finance, and government have strict data handling requirements. Shadow IT can violate HIPAA, GDPR, SOX, or other regulations—exposing organizations to fines and legal action.
Data governance breakdown: When data flows through unapproved channels, organizations lose control over where sensitive information resides, who can access it, and how it's protected.
Integration chaos: Shadow IT tools don't integrate with official systems, creating data silos and workflow inefficiencies.
Budget opacity: When departments subscribe to tools outside IT procurement, organizations lose visibility into software spending and face surprise renewals.
Audit failures: During security audits or compliance reviews, shadow IT creates gaps in documentation and evidence of controls.
Vendor management failures: Organizations can't properly vet vendors, negotiate contracts, or manage relationships for tools they don't know exist.
Incident response gaps: When security incidents occur through shadow IT, organizations lack monitoring, logging, or response capabilities.
A single unsanctioned file-sharing tool containing customer data can result in a breach costing millions in remediation, regulatory fines, and reputation damage. The stakes are high.

What Makes Shadow IT Discovery Platforms Effective?

Effective shadow IT discovery platforms like Abloomify, Zylo, and CASB solutions use multi-method detection including network monitoring, device agents, SSO integration, and expense analysis because no single method catches all unsanctioned SaaS applications.
Multi-method discovery: They use multiple detection techniques—network monitoring, device agents, expense analysis, identity provider integration—because no single method catches everything.
Cloud application focus: Modern shadow IT is primarily cloud-based SaaS rather than installed software, requiring discovery methods optimized for cloud services.
Risk assessment: They don't just list applications—they assess security risks, compliance implications, and data sensitivity to help prioritize remediation.
Automated continuous discovery: Shadow IT changes constantly as employees subscribe to new tools, so one-time discovery is insufficient—continuous monitoring is essential.
User attribution: Knowing which teams or individuals use each tool enables targeted communication and alternative provisioning.
Actionable workflow: They provide clear paths from discovery to decision—approve, provide alternative, block, or monitor.
Integration with IT systems: They connect to identity providers, expense systems, and security tools to enable enforcement of decisions.
Let's examine the platforms that embody these principles.

1. Abloomify – AI-Powered Productivity Ops Platform

Abloomify's device agents for Mac, Windows, and Chrome detect application usage directly on employee devices and integrate with approved tools like Jira, GitHub, Slack, Microsoft 365, and Google Workspace to identify unsanctioned shadow IT that bypasses network-based detection.
Unlike platforms that only see cloud applications accessed through corporate networks, Abloomify's optional device agents (Mac, Windows, Chrome extension) detect application usage directly on employee devices—catching shadow IT that might otherwise hide in home networks or mobile hotspots.

How Abloomify discovers and manages shadow IT

Device-level application monitoring: Privacy-first agents track which applications are actually being used on employee devices, identifying tools that bypass network-based detection.
Usage pattern analysis: Distinguishes between one-time experiments and regular shadow IT usage, helping prioritize investigation of applications seeing sustained adoption.
Productivity context: Shows not just that unsanctioned tools are being used, but how frequently and for what apparent purposes—helping IT understand why employees chose them.
Integration with approved systems: Connects to sanctioned tools (Jira, GitHub, Slack, Microsoft 365, Google Workspace) to differentiate approved from shadow IT usage.
Cost impact calculation: When shadow IT duplicates approved tools, Abloomify can estimate wasted spending on redundant subscriptions.
Bloomy AI insights: IT can ask questions like "What unapproved applications are being used company-wide?" or "Which teams have the highest shadow IT usage?" and receive data-backed answers.
Collaborative governance: Rather than just flagging shadow IT for blocking, Abloomify helps IT understand employee needs driving adoption—enabling provision of better approved alternatives.

What sets Abloomify apart

Abloomify doesn't treat shadow IT purely as security threat—it recognizes it as signal about unmet employee needs. When discovering widespread use of an unapproved project management tool, the platform shows IT which approved tools are being underutilized and why the shadow IT alternative gained traction.
One organization using Abloomify discovered that 40% of their engineering team used an unsanctioned code snippet tool. Rather than just blocking it, they investigated why and found that the approved alternative lacked key features. They upgraded to a better approved tool, eliminating the shadow IT by meeting the actual need.
Privacy is carefully balanced with security needs—Abloomify monitors application usage without invasive content surveillance, respecting employee privacy while providing IT necessary visibility.
Discover how Abloomify identifies shadow IT or request a demo to see current unsanctioned application usage in your organization.

2. Zylo – SaaS Management Platform

Zylo discovers cloud applications through SSO integration, expense analysis, and network monitoring to build comprehensive SaaS inventories including shadow IT.
The platform excels at discovering cloud applications through SSO integration, expense analysis, and network monitoring.

Strengths

• Purpose-built for SaaS discovery
• Multiple discovery methods (SSO, expenses, network)
• Good application database with risk scoring
• Strong workflow for application governance

Considerations

• Primarily detects cloud-based shadow IT (may miss installed applications)
• Requires access to financial systems for expense-based discovery
• Best for SaaS-heavy environments
• Limited visibility into why employees chose shadow IT tools

3. Torii – SaaS Operations Platform

Torii automates shadow IT discovery through integration with identity providers, expense systems, and browser extensions to provide workflows for approve, negotiate, or retire decisions.
The platform provides strong workflows for moving from discovery to governance decisions—approve, negotiate, or retire applications.

Strengths

• Strong automation of discovery and workflow
• Good integration with procurement and finance
• Helpful governance workflows
• Application usage tracking

Considerations

• Focuses primarily on SaaS (less visibility into other shadow IT)
• Discovery depends on integration access
• May miss applications accessed through personal accounts
• Pricing scales with application count

4. BetterCloud – SaaS Operations Platform

BetterCloud combines shadow IT discovery with policy enforcement for Google Workspace, Microsoft 365, and Slack through deep platform integrations and automated remediation capabilities.
The platform's strength lies in its ability to not just discover but also enforce policies around unsanctioned application usage.

Strengths

• Discovery combined with policy enforcement
• Deep integration with major SaaS platforms
• Automated remediation capabilities
• Good for security-focused governance

Considerations

• Best for organizations heavily using core platforms (Google Workspace, Microsoft 365, Slack)
• Less comprehensive for discovering long-tail shadow IT
• May require significant policy configuration
• Focus on major platforms rather than comprehensive discovery

5. Netskope – Cloud Access Security Broker (CASB)

Netskope provides CASB capabilities including network traffic analysis, cloud access monitoring, and security risk assessment to discover shadow IT and enforce policies about which cloud applications users can access.
The platform emphasizes security risk assessment and can enforce policies about which cloud applications users can access.

Strengths

• Strong security and risk assessment
• Comprehensive cloud application database
• Network-level visibility
• Policy enforcement capabilities

Considerations

• Requires network architecture changes (proxy or endpoint agent)
• Can be complex to implement
• May impact network performance if not properly architected
• Enterprise-focused (may be overkill for smaller organizations)

6. Zluri – Automated SaaS Management

Zluri automates shadow IT discovery through browser extensions, API integrations, and expense analysis to provide quick visibility into unsanctioned SaaS applications.
The platform provides clean interface for quickly understanding the shadow IT landscape and taking governance actions.

Strengths

• Fast, automated discovery
• User-friendly interface
• Good application categorization and risk scoring
• Competitive pricing for mid-market

Considerations

• Primarily SaaS-focused
• Discovery breadth depends on integration access
• Smaller application database than established vendors
• May miss shadow IT accessed through unusual channels

7. Productiv – SaaS Intelligence Platform

Productiv analyzes usage intelligence for sanctioned and unsanctioned applications through IT service management integrations to help differentiate widespread shadow IT requiring action versus one-off experiments.
The platform's engagement scoring helps differentiate between widespread shadow IT requiring action versus one-off experiments.

Strengths

• Good usage analytics beyond simple discovery
• Engagement scoring helps prioritize remediation
• Helps identify unused sanctioned apps (driving consolidation)
• Integration with IT service management

Considerations

• Discovery requires integration with various systems
• May not catch all shadow IT methods
• Best suited for analyzing known applications rather than pure discovery
• Pricing reflects comprehensive analytics capabilities

8. Cisco Cloudlock (Now Cisco Secure Cloud Analytics)

Cisco Cloudlock provides CASB capabilities with shadow IT discovery, security threat detection, and data loss prevention for cloud applications through the Cisco security ecosystem.
The platform's enterprise-grade capabilities include comprehensive threat analysis and policy enforcement.

Strengths

• Enterprise security focus
• Comprehensive threat detection
• Integration with broader Cisco security ecosystem
• Strong data loss prevention capabilities

Considerations

• Complex implementation requiring security expertise
• Best for large enterprises with Cisco infrastructure
• May be excessive for organizations primarily wanting discovery
• Pricing reflects enterprise positioning

9. Microsoft Defender for Cloud Apps (formerly MCAS)

Microsoft Defender for Cloud Apps integrates with Microsoft 365 and Azure Active Directory to provide shadow IT discovery, threat protection, and compliance monitoring through the Microsoft Security Center.
The platform integrates deeply with Microsoft's security ecosystem and Azure Active Directory.

Strengths

• Native integration with Microsoft 365 and Azure AD
• Included with certain Microsoft 365 licenses
• Good for Microsoft-centric organizations
• Unified security management through Microsoft Security Center

Considerations

• Best value for Microsoft-committed organizations
• Less competitive for non-Microsoft environments
• Discovery depth depends on network architecture
• Learning curve for configuration

10. Palo Alto Networks Prisma SaaS

Prisma SaaS combines shadow IT discovery with security posture management and data loss prevention through integration with the Palo Alto security portfolio.
The platform emphasizes security policy enforcement and integration with Palo Alto's broader security portfolio.

Strengths

• Comprehensive security capabilities
• Good SaaS security posture management
• Integration with Palo Alto security ecosystem
• Strong data protection features

Considerations

• Enterprise-focused with corresponding complexity
• Best value for Palo Alto customers
• May require security expertise to optimize
• Pricing reflects enterprise security positioning

How Do Platforms Find Shadow IT?

Shadow IT discovery platforms like Abloomify, Zylo, and Netskope use network traffic analysis, device agents, SSO integration, expense monitoring, browser extensions, and API connections to detect unsanctioned applications through multiple detection methods.
Network traffic analysis: Monitors corporate network traffic to identify connections to cloud services. Pros: Catches applications accessed through corporate network. Cons: Misses usage from home networks, mobile hotspots, or VPNs; may require network infrastructure changes.
Device agents/endpoint monitoring: Software on employee devices tracks application usage directly. Pros: Sees all application usage regardless of network; provides rich usage data. Cons: Requires agent deployment; may raise privacy concerns; employees may disable on personal devices.
Identity provider integration: Analyzes SSO and authentication logs to see which applications employees access. Pros: Non-intrusive; shows authentication patterns. Cons: Only catches applications using SSO; misses apps with separate logins.
Expense and procurement analysis: Reviews credit card transactions and expense reports for SaaS subscriptions. Pros: Identifies spending on shadow IT; helps with cost recovery. Cons: Only finds applications someone paid for; misses free tools; retrospective rather than real-time.
Browser extensions: Monitors web-based application access through browser plugins. Pros: Catches web-based shadow IT; user-specific attribution. Cons: Only works in browsers with extension installed; doesn't catch installed applications.
API integrations: Connects to HR systems, productivity tools, and other sources to infer application usage. Pros: Leverages existing data sources. Cons: Dependent on integration availability; may miss applications outside integrated systems.
Most effective platforms use multiple methods—Abloomify combines device-level monitoring with integration data to provide comprehensive visibility regardless of how shadow IT is accessed.

How Do You Assess Shadow IT Risk?

Platforms like Abloomify assess shadow IT risk by evaluating security factors (vendor certifications, encryption, access controls), compliance factors (GDPR data residency, HIPAA BAAs, SOC 2 attestations), and business factors (usage scope, data volume, integration depth) to prioritize remediation.

Security risk factors

Data access: Does the application access sensitive data?
Vendor security posture: Does the vendor have proper security certifications, practices, and history?
Encryption: Is data encrypted in transit and at rest?
Access controls: Are there proper authentication and authorization mechanisms?
Audit logging: Can activity be monitored and investigated?

Compliance risk factors

Data residency: Where is data stored (matters for GDPR, HIPAA, etc.)?
Vendor compliance: Does vendor have necessary certifications (SOC 2, ISO 27001, HIPAA, etc.)?
Data processing agreements: Can proper DPA be established?
Right to audit: Can your organization audit the vendor?

Business risk factors

Usage scope: How many employees use it and for what?
Data volume: How much sensitive information resides there?
Business criticality: Would removal disrupt operations?
Integration depth: How embedded is it in workflows?

Examples of risk-based prioritization

High risk (immediate action): Unsanctioned file-sharing tool storing customer PII, used by 50+ employees, no encryption, vendor in non-GDPR-compliant jurisdiction → Immediate block + approved alternative provision
Medium risk (near-term governance): Project management tool used by marketing team, vendor has SOC 2 but no BAA for HIPAA, moderate usage → Negotiate proper agreements or migrate to approved alternative
Low risk (monitor/approve): Team using collaboration tool with strong security, vendor is reputable with proper certifications, limited sensitive data → Consider adding to approved tool list
Platforms like Abloomify help with this assessment by showing usage patterns and data context, enabling intelligent risk prioritization rather than blanket blocking.

How Do You Move from Discovery to Governance?

Platforms like Abloomify support shadow IT governance workflows by identifying unsanctioned applications, understanding why employees chose them, categorizing risk levels, communicating with users, fixing root causes like slow approval processes, and maintaining continuous monitoring.

Step 1: Discover and inventory

• Use platform to identify all unsanctioned applications
• Document usage scope (who, how often, for what)
• Assess risk level using security and compliance criteria

Step 2: Understand the "why"

• Investigate why employees chose unsanctioned tools
• What need does the shadow IT meet that approved tools don't?
• Is it lack of awareness, inadequate alternatives, or slow approval?

Step 3: Categorize and prioritize

Approve: Add to official tool list if low-risk and fills genuine need
Replace: Provide better approved alternative if security/compliance concerns exist
Block: Immediately disable if high-risk and replaceable
Monitor: Watch low-risk tools while deciding longer-term approach

Step 4: Communicate and migrate

• Explain decisions to users (don't just block without warning)
• Provide clear migration paths and support for approved alternatives
• Offer training on official tools to reduce future shadow IT

Step 5: Fix root causes

• If shadow IT arose from slow approval, streamline processes
• If from inadequate tools, upgrade official options
• If from lack of awareness, improve tool discovery and communication

Step 6: Continuous monitoring

• Shadow IT doesn't stop after one cleanup
• Maintain ongoing discovery and governance
• Regularly review and update approved tool list
Abloomify supports this workflow by providing not just discovery but context about usage patterns and employee needs, enabling IT to move from reactive blocking to proactive tool provisioning that reduces shadow IT at the source.

How Do You Balance Security and Employee Productivity?

Platforms like Abloomify help IT teams balance security with productivity by discovering shadow IT to understand unmet employee needs, maintaining curated tool catalogs with fast approval processes, and providing compelling approved alternatives rather than draconian lockdowns.

What doesn't work

Draconian lockdown: Blocking everything not explicitly approved drives shadow IT underground—employees use personal devices, home networks, and creative workarounds. You lose visibility without gaining security.
Complete laissez-faire: Ignoring shadow IT until a breach occurs is negligent. Security and compliance aren't optional.

What works

Curated tool catalog: Maintain broad catalog of pre-approved tools across categories so employees rarely need to look elsewhere.
Fast approval process: When employees need something not in catalog, make approval take days, not months. Speed reduces shadow IT motivation.
Transparent criteria: Publish clear criteria for what makes tools approvable—security standards, vendor requirements, compliance needs. This helps employees self-select appropriate tools.
User feedback loop: Ask employees about tool needs proactively rather than waiting for them to go rogue.
Risk-based approach: Allow low-risk tools more easily while scrutinizing high-risk applications appropriately.
Alternative provision: When blocking risky shadow IT, provide compelling approved alternatives—don't just say "no" without offering solution.
Education over punishment: Help employees understand why certain tools aren't allowed and how to get approval for legitimate needs.
This balanced approach requires visibility platforms like Abloomify that help IT understand not just what shadow IT exists but why employees chose it, enabling root cause solutions rather than whack-a-mole blocking.

What Legal and Compliance Risks Does Shadow IT Create?

Shadow IT in unsanctioned tools violates GDPR data protection requirements, HIPAA BAA requirements, SOX controls, and CCPA privacy laws, creating liability that worsens when organizations knowingly allow unsanctioned tools with sensitive data.

Regulatory violations

GDPR (EU): Storing EU resident data in unsanctioned tools without proper DPAs and security controls violates data protection requirements—fines up to 4% of global revenue.
HIPAA (US Healthcare): Healthcare providers using shadow IT for PHI without proper BAAs and security controls face substantial penalties.
SOX (US Public Companies): Shadow IT can create financial reporting control gaps leading to audit failures.
CCPA/State Privacy Laws: Unsanctioned tools may violate evolving US state privacy requirements.
Industry-specific rules: Financial services, government contractors, and other sectors have specific data handling requirements shadow IT may violate.

Contractual violations

Many organizations have contractual obligations about data security with customers or partners. Shadow IT can constitute breach of contract.

Liability in breach scenarios

When shadow IT leads to data breach, organizations face:
• Regulatory fines for non-compliance
• Notification costs
• Credit monitoring for affected individuals
• Legal defense costs
• Settlement payments
• Reputation damage and lost business
Evidence that organization knowingly allowed unsanctioned tools with sensitive data substantially worsens liability—demonstrating security negligence.
Implementing shadow IT discovery and governance platforms demonstrates due diligence—showing regulators and courts that organization takes security seriously even if breaches occur. It transforms defense from "we didn't know" (negligence) to "we actively monitor and govern" (reasonable security).

How Do You Address Common Objections?

IT leaders using platforms like Abloomify can address organizational resistance to shadow IT initiatives by emphasizing discovery to provide approved alternatives rather than blocking, protecting employees through security standards, and demonstrating positive ROI from preventing breach costs.

Objection #1: "Employees need flexibility to be productive"

Response: Agreed—that's why we're discovering shadow IT to understand needs and provide good approved alternatives, not blocking everything. We're enabling secure productivity, not preventing it.

Objection #2: "This feels like surveillance and micromanagement"

Response: We're not monitoring individual productivity or reading content—we're identifying which applications are being used to ensure they meet security and compliance standards. This protects both the organization and employees.

Objection #3: "Our security budget should go elsewhere"

Response: A single breach from shadow IT can cost millions. Discovery platforms cost thousands and prevent that exposure—clear positive ROI.

Objection #4: "We trust our employees not to do risky things"

Response: Employees generally have good intentions but lack security expertise. They choose convenient tools not knowing the risks. Discovery helps us protect them.

Objection #5: "This will slow down innovation and agility"

Response: Actually, having pre-approved tools and fast approval processes enables faster safe adoption. Shadow IT driven by slow approvals is the real agility killer—we're fixing that root cause.

How Do You Choose the Right Shadow IT Platform?

Choosing between Abloomify's device-level visibility, specialized SaaS discovery platforms like Zylo and Torii, or CASB solutions like Netskope depends on whether you need comprehensive application monitoring, procurement integration, or enterprise security enforcement.
Consider Abloomify if:
• You want device-level visibility into application usage beyond just cloud services
• You need to understand usage context (why employees chose shadow IT) to provide better alternatives
• You value privacy-first monitoring that maintains employee trust
• You're looking for platform addressing shadow IT alongside broader productivity and engagement
• You want AI-powered insights about application usage patterns
Consider specialized SaaS discovery platforms if:
• Your primary concern is cloud application shadow IT
• You need deep integration with procurement and expense systems
• You have dedicated IT governance resources for remediation workflow
• You want comprehensive SaaS vendor and risk databases
Consider CASB solutions if:
• You have significant security and compliance requirements
• You need policy enforcement and data loss prevention capabilities
• You have resources for complex security tool implementation
• You're part of enterprise with other security infrastructure
Key evaluation criteria:
Discovery breadth: Does it find applications accessed through all channels?
Attribution clarity: Can you identify which users/teams use shadow IT?
Risk assessment: Does it help prioritize based on actual risk?
Workflow support: Does it enable moving from discovery to governance action?
Integration depth: Can it connect with identity, security, and procurement systems?

What's the Future of Shadow IT Prevention?

Abloomify's predictive AI will identify tool needs before employees resort to shadow IT by analyzing usage patterns to predict requirements, proactively suggesting approved alternatives, and flagging when approved tool feature gaps drive unsanctioned adoption.
The next frontier is moving from reactive discovery to predictive prevention—identifying needs before employees resort to shadow IT.
Imagine platforms that:
• Predict when teams will need new tools based on project types and growth
• Proactively suggest approved alternatives before employees search externally
• Identify when approved tools' feature gaps drive shadow IT adoption
• Automatically flag when tool vendors' security postures change, affecting risk
Abloomify's AI is evolving toward this proactive approach—using usage patterns to predict tool needs and recommend approved options before shadow IT emerges.

Secure What You Can See

Shadow IT isn't going away—the consumerization of software makes it easier than ever for employees to adopt tools without IT involvement. The ~30% of applications that are unsanctioned represent massive security and compliance exposure.
Modern discovery platforms provide the visibility needed to transform shadow IT from invisible threat into manageable reality. They enable IT to move from reactive enforcement to proactive tool provisioning that meets employee needs securely.

Related reading:
Eliminate unused SaaS licenses
·
Monitor hybrid team productivity

Explore how Abloomify provides comprehensive application visibility through device-level monitoring, or request a demo to identify unsanctioned applications in your environment.
You can't secure what you can't see. Discover your shadow IT before it discovers you through a breach.
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Walter Write
Walter Write
Staff Writer

Tech industry analyst and content strategist specializing in AI, productivity management, and workplace innovation. Passionate about helping organizations leverage technology for better team performance.