Meeting the high bar of specific consent for using personal data and avoiding the risk of your customer data getting breached are very challenging and scarry with privacy regulations emerging across the globe. Data silos is no more an option for businesses in this data & AI era. So how should businesses balance between privacy vs business utility?
‍
PRIVASAPIEN^TM has built a one-stop-shop “Privacy by Design” platform, which delivers pioneering unified Privacy Enhancing and Responsible AI (PERAI) solutions, that can enable your enterprise to gain a strategic advantage of “Privacy by Design” for various regulations across the globe at a mathematical level.

Augmented DPIA

• Privacy Threat Modeling – Attribute auto classification, Privacy Attack Simulation
• Privacy Risk Score – Qualitative and Quantitative Privacy Risk Visualization, DevPrivacyOps for data flows
• Accelerates DPIA – Likelihood vs Severity, Automated Mitigatory recommendationgrounded in math and clause level regulatory compliance
• Benefit – “0 to 1” Privacy Threat Modeling technology that can augment DPIA to create privacy aware data ecosystems. 4000x faster than contemporary methods.

Anonymized Data Sharing

• Context base anonymization – To retain maximum utility and protect privacy for data sharing
• Regulatory exemption – Cutting edge technologies converting personal data to non-personal
• Mathematical Proof – Provides mathematical proofs through techniques recognized globally
• Benefit – Pioneering spectrum of anonymization technologies that reduces risk by 90% and legally allows you to unlock data which earlier can’t even touch

Synthetic Data Generation

• Generative AI based data – Create Generative AI based structured data which looks like actual personal data
• Non personal data – Privacy preserving Gen AI solution creates artificial data which is non-personal
• Data for non-production environment – This data can be used for non-production env like development and testing
• Benefit – Enables your development and testing teams to get access to data with 0% regulatory obligation

Pseudonymized Data Collaboration

• Cross Border & 3^rd party transfer – Meet pseudonymization and technical safeguard requirements of cross border and 3^rd party transfers
• Key Generation & Management – Do on-prem or self-managed cloud key generation and control including zkKey retrieval
• Purpose limitation – Achieve regulatory compliant pseudonymized data collaboration with on-demand attribute level de-identification via APIs
• Benefit – Save millions of dollars through outsourcing non-core competency services without violating global privacy regulations

Differentially Private Query & Insight

• Insight sharing – Collaborate with your ecosystem without giving access to data
• Privacy Budget – Define mathematical privacy budgets for allowing data querying
• Data Monetization – Unlock true value in your data through monetization without privacy violatin
• Benefits – Monetize critical insights using differential privacy. It’s another “0 to 1” technology product.

LLM User safety  & Synthetic Prompt Engineering

• LLM User Safety – Identify various risks flows through prompts from organizations
• Domain level Risk Summarization – Summarize risks to LLM users
• Synthetic prompt engineering – Empower LLM users with risk mitigatory recommendation
• Benefits – Category creating synthetic prompt engineering prompt which enables your organization to embrace LLMs without fear.