Architecting Privacy by Design Journey"

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Building Responsible AI
and LLM governance"

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Architecting

Responsible AI

Privacy by Design

For Enterprises"

Welcome to Privasapien, your one-stop “ Privacy Enhancing and Responsible AI – PERAI “ Platform, Enabling organizations to build Privacy by design data ecosystem and Responsible AI LLMOps.
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Awards and Recognition

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.

Privacy by Design

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
  • 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.

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
  • 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.

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)

Become a Privasapien Certified
PERAI Consultant

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.

What we offer
Weekend (Online) Format:
Flexible learning at your pace
Expert-led Instruction:
Learn from industry veterans
Globally Recognized Certification: Stand out with a valuable credential
How

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!

PRIVACY X-RAYTM

Visualize Privacy Risk & Key Mitigations

EVENT HORIZONTM

Intelligent Context Based Anonymization

CRYPTO SPHERETM

Cryptographic Pseudonymization & On-Demand Decryption

DATA TWINTM

Synthetic Data for Testing

PRIVAGPTTM

Revolutionary User Safety & Model Security Responsible AI  Product

Discover the future of
privacy protection

Book a demo
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Safeguarding personal and sensitive data in
today's evolving digital landscape
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+91  9035465400
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contact@privasapien.com
Office
Clayworks Create Campus, 11KM, Arakere Bannerghatta Rd, Omkar Nagar, Arekere, Bengaluru, Karnataka 560076