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Welcome to Privasapien, your one-stop PERAI platform. Empower your enterprises by seamlessly meeting regulatory privacy standards and maximizing the potential of your data through pioneering PERAI technologies.
Trusted for our pioneering PERAI solutions by customers, associations & partners across geographies. Some are..
Privacy Enhancing and Responsible AI Technology Platform (PERAITM Platform)
Building Privacy Enhanced Data and AI Ecosystems that are privacy conscious, attack resistive, ethical, trustworthy and fair, enabling Enterprises to comply with global privacy and AI regulations.
Comprehensive Compliance: Navigate emerging privacy and responsible AI regulations seamlessly.
Robust Defense: Protect against data and model attacks with our holistic approach.
End-to-End Support: From Privacy Threat Modeling to Model Security, we've got you covered.
Lead the Data & AI Era with PERAI™. Partner with Privasapien for privacy-conscious, ethical AI solutions.
Ensure robust data security across the entire Data & AI lifecycle, empowering safe and compliant AI utilization.
Privacy Threat Modelling
Enhance your privacy strategy with our AI-driven PTM tools that dynamically visualize and mitigate privacy risks. Optimize data protection and compliance through comprehensive assessments and proactive threat management, facilitating informed privacy decisions.
Privacy Enhancing Technologies
Leverage advanced anonymization, encryption, and differential privacy techniques to secure sensitive data at every level. Our PET solutions support robust data confidentiality for analytics and development, enabling safe, compliant cross-border data transfers and synthetic data generation.
Responsible AI
Adopt responsible AI practices with our comprehensive governance framework designed for Large Language Models. Safeguard data, navigate complex risks, and ensure transparency and security in AI operations, meeting stringent regulatory standards and ethical guidelines.
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 & 3rd party transfer – Meet pseudonymization and technical safeguard requirements of cross border and 3rd 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
Benefits – Category creating synthetic prompt engineering prompt which enables your organization to embrace LLMs without fear.
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 recommendation grounded 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 & 3rd party transfer – Meet pseudonymization and technical safeguard requirements of cross border and 3rd 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
Benefits – Category creating synthetic prompt engineering prompt which enables your organization to embrace LLMs without fear.
Privacy by Design
Secure the data across Data & Al Life cycle rectangle
Privacy Threat Modelling
Privacy management and compliance 4000 times faster than traditional methods.
Privacy Enhancing Technologies
The next generation suite of data enhancing and utility across various applications.
Anonymized Data Sharing
Synthetic Data Generation
Pseudonymized Data Collaboration
Differentially Private Query & Insight
Responsible AI
Enhancing LLM User Safety with Synthetic Prompt Engineering
What
Privacy Enhancing Technologies
Privacy 1.0 – Traditional de-identification like Masking & Tokenization Privacy 2.0 – Privacy compliance technologies like consent management & discovery Privacy 3.0 or Privacy Enhancing Technologies– Protecting Privacy while data is in use, with strong mathematical guarantees. Some of the PET technologies are – Expert Anonymization, Synthetic data, Differential Privacy, Secure Multi Party Compute, Zero Knowledge Proof etc. These enable organizations to unlock data with significantly reduced or guaranteed levels of risks. Different technologies help solve different industry use cases.
Responsible AI
An organization is building Responsible AI if they follow the practices of privacy preserved model training, secured model deployment against new age attacks, protected and informed user experience during model usage.
PRIVASAPIENTM can help organizations build Responsible AI with below pioneering capabilities:
Trustworthy (Privacy Preserved Model Training)
Model Security (Protecting models against attacks during inference)
User Safety (Protecting or informing users against potential harms while using AI
LLM Governance – Providing an overall risk centric view of LLM usage (risk identification & mitigation)
Unlock the future of data and AI jobs with our cutting-edge certification program. Join the world's first hands-on and deep-tech Privacy Enhancing Responsible AI (PERAI™) Certification Program.
PRIVASAPIENTM’s pioneering & award winning unified Privacy Enhancing & Responsible AI technology platform “PRIVAGALAXY” has - PRIVACY X-RAYTM (Privacy Threat Modeling & Augmented DPIA), EVENT HORIZONTM (Expert Anonymization), DATATWINTM (Synthetic Data), CRYPTOSPHERETM (Cryptographic key generation & Pseudonymized data collaboration), all the above products for privacy preserved model training and PRIVAGPTTM with modules for User Safety, Model Security and LLM Governance, offering organizations an one-stop-shop for leading the data & AI era!
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