Embedding Trust & Privacy in Data to Enable Lawful Processing
Anonos enables clients to engage in lawful processing, at scale, with zero loss of utility
Other technologies fail to establish trust in data because they do not overcome:
INACCURACY
1
Inaccurate
Data
UNLAWFULNESS OF PROCESSING
2
Unlawful
Analytics,
AI & ML
3
Unlawful
International
Transfer / Cloud
RE-ID RISK
4
Risk of
Unauthorized
Re-Identification
Companies often process unprotected data to overcome inaccurate results of other technologies, resulting in unlawfulness and increased risk from data use
How big is your data TRUST DEFICIT?
1
Is your protected data 100% accurate relative to processing identifying cleartext?
2
Do you process identifying cleartext because of inaccuracies from protecting your data?
There is now a technical solution to the legal dilemma raised by these questions.
1. Current Situation: status quo for Analytics, AI & ML
Current Situation: status quo for Analytics, AI & ML
2. Problem: recent enforcement makes desired processing illegal
Problem: recent enforcement makes desired processing illegal
3. Solution: Variant Twins make desired processing legal
Solution: Variant Twins make desired processing legal
Anonos Variant Twin software uniquely solves this dilemma by embedding Trust & Privacy in data to enable lawful processing
Everybody wants to participate in the new data economy but is searching for how they can actually realize that goal. Without new data privacy/protection controls, companies put themselves at regulatory risk, resulting in claims and fines running into the billions. As a result, companies face potential catastrophic impacts on their business and data supply chains.
Anonos Variant Twin software embeds controls that ensure accuracy while expanding lawful data use, sharing, and combining for all stakeholders in global data supply chains.
Variant Twins
Variant Twins create unmatched competitive benefits, not only preserving data processing and data accuracy, but also exponentially increasing Analytics, AI & ML opportunities.
Variant Twins
  • Comply with global requirements for processing identifying data by protecting data when-in-use
  • Maintain 100% accuracy compared to identifying cleartext
  • Lawful Analytics, AI & ML
  • Centralized privacy controls for decentralized processing
  • Lawful borderless data that is adaptable to address evolving business and legal requirements across all jurisdictions globally
  • Surveillance-proof and brute force/quantum computing risk proof
  • Effective API overlay to current business and data workflows without replacing infrastructure
  • No-code configuration so organizations can quickly respond to fast-changing business and regulatory conditions