Enterprise Trust Infrastructure
The $42.3 billion market protecting enterprises from AI-powered fraud, deepfakes, and liability.
$410M
Deepfake losses (H1 2025)
$500K
Average incident loss
80%
Companies without protocol
24.5%
Human detection rate
February 2024: Arup Engineering lost $25 million when an employee was tricked by deepfake video conference with AI-generated CFO and executives.
Why Enterprise Trust Infrastructure Now?
Traditional verification methods—“I saw them on video” or “I recognized their voice”—are no longer reliable. Enterprises need technological trust infrastructure.
Market Opportunity
Fraud Acceleration
Detection Failure
Real-World Impact: Enterprise Deepfake Incidents
These aren’t hypotheticals. These are documented cases from the past 18 months.
$25 Million
Hong Kong office
$35 Million
Voice clone attack
€220,000
CEO voice clone
Thwarted
CEO Mark Read voice clone
“CEO fraud using deepfakes now targets at least 400 companies per day.”
Three Threat Vectors Enterprises Face
Attacks ON the Enterprise
- 400+CEO fraud attempts daily
- 77%Voice clone victims suffer loss
- $3B+Synthetic identity fraud annually
- 704%Biometric bypass increase (2023)
Attacks FROM Within
- Unauthorized AI use without governance
- Sensitive data fed into AI systems
- AI hallucinations presented as fact
- IP contamination from AI tools
Attacks THROUGH Vendors
- Cannot verify vendor AI decision quality
- Supply chain deepfake documents
- AI-generated fake certifications
- Model drift without detection
Regulatory & Insurance Pressure
Companies face compliance mandates and coverage gaps simultaneously.
Regulatory Timeline
EU AI Act
Banned AI practices since Feb 2025. Up to €35M or 7% revenue penalties.
California SB 942
AI transparency requirements for providers with over 1m monthly users. $5,000/day per violation.
Colorado SB 26-189
Replaced SB 24-205. Procedural, rights-based framework for consequential decisions.
Insurance Coverage Gaps
Insurers are adding broad AI exclusions to traditional policies:
Warning: Companies without AI governance may be uninsured for AI-related incidents.
Market Sub-Segments
Content Provenance
$21.5B
by 2030
- • Executive communication authentication
- • Press release verification
- • Investor relations provenance
- • Scientific research integrity
Anti-Fraud Prevention
$12.9B
by 2030
- • Deepfake detection + verification
- • Transaction authentication
- • Identity verification
- • Claims fraud prevention
Supply Chain Auth
$7.9B
by 2030
- • Certificate authentication
- • Document verification
- • Component provenance
- • Compliance documentation
Why Regitech Wins
We’re not another detection tool. We’re trust infrastructure.
Blockchain Provenance
Tamper-evident, append-only audit trail for every AI interaction
Multi-Agent Monitoring
Token-level bias/error detection at generation
Latency-Optimized
<50ms overhead for production systems
Dispute Resolution
Integrated ADR reduces litigation 70%
Where the platform is being applied
The first application of the intelligence layer is in institutional dispute resolution: intake triage, eligibility assessment, case summarisation and adjudication support, with human decision-making retained at every point and a complete evidential record of how each output was produced.
This work is at scoping and discovery stage. Volumes, timelines and outcomes will be published only when they are contracted, and only with the counterparty’s agreement.
Ready to Build Trust Infrastructure?
Schedule a consultation to discuss how Regitech protects your enterprise from AI-powered threats.