78% of employees use AI without IT approval
Shadow AI Is Already Here.
A Trust Layer Is What Keeps It from Becoming a Liability.
Transform shadow AI from your greatest risk into your greatest strategic advantage. Make governed AI use faster, safer, and more capable than unauthorized alternatives.
The Shadow AI Crisis in Numbers
Shadow AI has become the default mode of AI adoption in modern enterprises. These numbers reveal the scale of the challenge and the opportunity.
78%
of employees use AI without approval
$17.5M
average cost per shadow AI incident
69%
of organizations have zero visibility
87%
reduction with Trust Layer in 6 months
Why Traditional Governance Fails
Traditional IT Approval
13-32
weeks
Security review
Procurement process
Legal assessment
Budget allocation
IT provisioning
User training
Shadow AI Access
< 3
minutes
Create account
Start using immediately
No approval needed
The math is brutal.
High Severity Threats
The Risk Landscape
Shadow AI risks are not just larger than shadow IT—they're qualitatively distinct. The damage is often invisible and irreversible.
Severity
95%
Data Leakage
Proprietary data uploaded to public AI becomes training data. A pharmaceutical company lost $400M when drug formulations surfaced in competitor patents.
Severity
87%
Compliance Violations
GDPR fines up to 4% of global revenue. HIPAA violations can trigger criminal prosecution. Regulators don't care about intentions.
Severity
88%
IP Exposure
Source code, algorithms, and trade secrets pasted into AI assistants become embedded knowledge you can't un-train or delete.
Severity
71%
Bias & Hallucination
AI systems perpetuate biases and hallucinate facts. In shadow AI scenarios with no oversight, these become organizational liabilities.
Severity
76%
Security Risks
Every unmanaged AI touchpoint is a potential vulnerability. Browser extensions, mobile apps, and unsanctioned APIs multiply risk exponentially.
Severity
68%
Hidden Costs
Data breach costs, regulatory fines, IP theft, reputational damage, and remediation average $17.5M per major incident.
The Solution
The Trust Layer: Making Governance Invisible
Rather than preventing AI use, make governed AI use the path of least resistance. When authorized tools are superior, shadow AI withers naturally—through obsolescence, not enforcement.
Trust Layer Architecture
Every AI interaction flows through the trust layer—no exceptions, no shadow paths.
Application & User Layer
Web Apps
Mobile
Desktop
APIs
Trust Layer
Auth
Data Gov
Filtering
Audit
AI Services
GPT-4
Claude
Gemini
Custom
Universal Authentication
Every AI interaction tied to authenticated identity with complete audit trails.
Intelligent Data Governance
PII, financial data, and trade secrets are blocked, masked, or tokenized automatically.
Prompt & Response Filtering
Evaluate prompts and responses for policy violations, security risks, and content appropriateness.
Multi-Model Routing
Access multiple AI models with automatic routing based on task, sensitivity, and cost.
Complete Audit Logging
Every interaction logged: who, what, when, which model, what response.
Real-Time Risk Monitoring
Continuous analysis detects anomalies and policy violations before they become incidents.
The Arhasi Advantage
A complete suite of tools to transform shadow AI from organizational liability to strategic capability.
TrustHouse
Enterprise AI Risk & Trust Infrastructure
Managing authentication, authorization, data protection, and policy enforcement across all AI services.
Universal SSO integration
Real-time data masking
Policy enforcement engine
Complete audit logging
Learn More
TrustBI
AI-Powered Analytics with Built-in Governance
Real-time insights without compromising data security. Analytics that respects your governance boundaries.
Secure data visualization
Governed AI queries
Compliance dashboards
Usage analytics
Learn More
TrustStudio
Workflow Orchestration Tools
Enable business users to build AI-powered applications within governed boundaries. Innovation without risk.
No-code AI workflows
Pre-approved integrations
Built-in guardrails
Team collaboration
Learn More
The Difference a Trust Layer Makes
Without Trust Layer
Shadow AI chaos
No visibility into AI usage
Data leakage to public models
Compliance gaps and violations
Security vulnerabilities
No audit trail
With Trust Layer
Governed excellence
Complete usage visibility
Data protected automatically
Always compliant by design
Secure by default
Full audit trail
Shadow AI is already here.
Transform it into your advantage.
The window to act is limited. Every month that shadow AI persists creates additional risk. Let's discuss how a trust layer can make that transformation possible.
contactus@arhasi.com
www.arhasi.ai
78% of employees use AI without IT approval
Shadow AI Is Already Here.
A Trust Layer Is What Keeps It from Becoming a Liability.
Transform shadow AI from your greatest risk into your greatest strategic advantage. Make governed AI use faster, safer, and more capable than unauthorized alternatives.
The Shadow AI Crisis in Numbers
Shadow AI has become the default mode of AI adoption in modern enterprises. These numbers reveal the scale of the challenge and the opportunity.
78%
of employees use AI without approval
$17.5M
average cost per shadow AI incident
69%
of organizations have zero visibility
87%
reduction with Trust Layer in 6 months
Why Traditional Governance Fails
Traditional IT Approval
13-32
weeks
Security review
Procurement process
Legal assessment
Budget allocation
IT provisioning
User training
Shadow AI Access
< 3
minutes
Create account
Start using immediately
No approval needed
The math is brutal.
High Severity Threats
The Risk Landscape
Shadow AI risks are not just larger than shadow IT—they're qualitatively distinct. The damage is often invisible and irreversible.
Severity
95%
Data Leakage
Proprietary data uploaded to public AI becomes training data. A pharmaceutical company lost $400M when drug formulations surfaced in competitor patents.
Severity
87%
Compliance Violations
GDPR fines up to 4% of global revenue. HIPAA violations can trigger criminal prosecution. Regulators don't care about intentions.
Severity
88%
IP Exposure
Source code, algorithms, and trade secrets pasted into AI assistants become embedded knowledge you can't un-train or delete.
Severity
71%
Bias & Hallucination
AI systems perpetuate biases and hallucinate facts. In shadow AI scenarios with no oversight, these become organizational liabilities.
Severity
76%
Security Risks
Every unmanaged AI touchpoint is a potential vulnerability. Browser extensions, mobile apps, and unsanctioned APIs multiply risk exponentially.
Severity
68%
Hidden Costs
Data breach costs, regulatory fines, IP theft, reputational damage, and remediation average $17.5M per major incident.
The Solution
The Trust Layer: Making Governance Invisible
Rather than preventing AI use, make governed AI use the path of least resistance. When authorized tools are superior, shadow AI withers naturally—through obsolescence, not enforcement.
Trust Layer Architecture
Every AI interaction flows through the trust layer—no exceptions, no shadow paths.
Application & User Layer
Web Apps
Mobile
Desktop
APIs
Trust Layer
Auth
Data Gov
Filtering
Audit
AI Services
GPT-4
Claude
Gemini
Custom
Universal Authentication
Every AI interaction tied to authenticated identity with complete audit trails.
Intelligent Data Governance
PII, financial data, and trade secrets are blocked, masked, or tokenized automatically.
Prompt & Response Filtering
Evaluate prompts and responses for policy violations, security risks, and content appropriateness.
Multi-Model Routing
Access multiple AI models with automatic routing based on task, sensitivity, and cost.
Complete Audit Logging
Every interaction logged: who, what, when, which model, what response.
Real-Time Risk Monitoring
Continuous analysis detects anomalies and policy violations before they become incidents.
The Arhasi Advantage
A complete suite of tools to transform shadow AI from organizational liability to strategic capability.
TrustHouse
Enterprise AI Risk & Trust Infrastructure
Managing authentication, authorization, data protection, and policy enforcement across all AI services.
Universal SSO integration
Real-time data masking
Policy enforcement engine
Complete audit logging
Learn More
TrustBI
AI-Powered Analytics with Built-in Governance
Real-time insights without compromising data security. Analytics that respects your governance boundaries.
Secure data visualization
Governed AI queries
Compliance dashboards
Usage analytics
Learn More
TrustStudio
Workflow Orchestration Tools
Enable business users to build AI-powered applications within governed boundaries. Innovation without risk.
No-code AI workflows
Pre-approved integrations
Built-in guardrails
Team collaboration
Learn More
The Difference a Trust Layer Makes
Without Trust Layer
Shadow AI chaos
No visibility into AI usage
Data leakage to public models
Compliance gaps and violations
Security vulnerabilities
No audit trail
With Trust Layer
Governed excellence
Complete usage visibility
Data protected automatically
Always compliant by design
Secure by default
Full audit trail
Shadow AI is already here.
Transform it into your advantage.
The window to act is limited. Every month that shadow AI persists creates additional risk. Let's discuss how a trust layer can make that transformation possible.
contactus@arhasi.com
www.arhasi.ai
78% of employees use AI without IT approval
Shadow AI Is Already Here.
A Trust Layer Is What Keeps It from Becoming a Liability.
Transform shadow AI from your greatest risk into your greatest strategic advantage. Make governed AI use faster, safer, and more capable than unauthorized alternatives.
The Shadow AI Crisis in Numbers
Shadow AI has become the default mode of AI adoption in modern enterprises. These numbers reveal the scale of the challenge and the opportunity.
78%
of employees use AI without approval
$17.5M
average cost per shadow AI incident
69%
of organizations have zero visibility
87%
reduction with Trust Layer in 6 months
Why Traditional Governance Fails
Traditional IT Approval
13-32
weeks
Security review
Procurement process
Legal assessment
Budget allocation
IT provisioning
User training
Shadow AI Access
< 3
minutes
Create account
Start using immediately
No approval needed
The math is brutal.
High Severity Threats
The Risk Landscape
Shadow AI risks are not just larger than shadow IT—they're qualitatively distinct. The damage is often invisible and irreversible.
Severity
95%
Data Leakage
Proprietary data uploaded to public AI becomes training data. A pharmaceutical company lost $400M when drug formulations surfaced in competitor patents.
Severity
87%
Compliance Violations
GDPR fines up to 4% of global revenue. HIPAA violations can trigger criminal prosecution. Regulators don't care about intentions.
Severity
88%
IP Exposure
Source code, algorithms, and trade secrets pasted into AI assistants become embedded knowledge you can't un-train or delete.
Severity
71%
Bias & Hallucination
AI systems perpetuate biases and hallucinate facts. In shadow AI scenarios with no oversight, these become organizational liabilities.
Severity
76%
Security Risks
Every unmanaged AI touchpoint is a potential vulnerability. Browser extensions, mobile apps, and unsanctioned APIs multiply risk exponentially.
Severity
68%
Hidden Costs
Data breach costs, regulatory fines, IP theft, reputational damage, and remediation average $17.5M per major incident.
The Solution
The Trust Layer: Making Governance Invisible
Rather than preventing AI use, make governed AI use the path of least resistance. When authorized tools are superior, shadow AI withers naturally—through obsolescence, not enforcement.
Trust Layer Architecture
Every AI interaction flows through the trust layer—no exceptions, no shadow paths.
Application & User Layer
Web Apps
Mobile
Desktop
APIs
Trust Layer
Auth
Data Gov
Filtering
Audit
AI Services
GPT-4
Claude
Gemini
Custom
Universal Authentication
Every AI interaction tied to authenticated identity with complete audit trails.
Intelligent Data Governance
PII, financial data, and trade secrets are blocked, masked, or tokenized automatically.
Prompt & Response Filtering
Evaluate prompts and responses for policy violations, security risks, and content appropriateness.
Multi-Model Routing
Access multiple AI models with automatic routing based on task, sensitivity, and cost.
Complete Audit Logging
Every interaction logged: who, what, when, which model, what response.
Real-Time Risk Monitoring
Continuous analysis detects anomalies and policy violations before they become incidents.
The Arhasi Advantage
A complete suite of tools to transform shadow AI from organizational liability to strategic capability.
TrustHouse
Enterprise AI Risk & Trust Infrastructure
Managing authentication, authorization, data protection, and policy enforcement across all AI services.
Universal SSO integration
Real-time data masking
Policy enforcement engine
Complete audit logging
Learn More
TrustBI
AI-Powered Analytics with Built-in Governance
Real-time insights without compromising data security. Analytics that respects your governance boundaries.
Secure data visualization
Governed AI queries
Compliance dashboards
Usage analytics
Learn More
TrustStudio
Workflow Orchestration Tools
Enable business users to build AI-powered applications within governed boundaries. Innovation without risk.
No-code AI workflows
Pre-approved integrations
Built-in guardrails
Team collaboration
Learn More
The Difference a Trust Layer Makes
Without Trust Layer
Shadow AI chaos
No visibility into AI usage
Data leakage to public models
Compliance gaps and violations
Security vulnerabilities
No audit trail
With Trust Layer
Governed excellence
Complete usage visibility
Data protected automatically
Always compliant by design
Secure by default
Full audit trail
Shadow AI is already here.
Transform it into your advantage.
The window to act is limited. Every month that shadow AI persists creates additional risk. Let's discuss how a trust layer can make that transformation possible.
contactus@arhasi.com
www.arhasi.ai