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"

Using Privacy Enhancing Technologies.
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Awards and Recognition

Trusted for our pioneering PERAI solutions by customers, associations & partners across geographies. Some are..

Why

Privacy by
Design

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?
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PRIVASAPIENTM 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 & 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.
What

Privacy Enhancing
Technologies

Privacy 1.0 – Traditional de-identification like Masking & Tokenization
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Privacy 2.0 – Privacy compliance technologies like consent management & discovery
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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)

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.

PrivaSapien can help organizations build Responsbile 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)
How

PRIVASAPIENTM’s pioneering & award winning unified Privacy Enhancing & Responsible AI technology platform “PRIVAGALAXY” has - Privacy X-Ray (Privacy Threat Modeling & Augmented DPIA), Event Horizon (Expert Anonymization), Data Twin (Synthetic Data), CryptoSphere (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
ph
+91  9035465400
em
contact@privasapien.com
Office
Clayworks Create Campus, 11KM, Arakere Bannerghatta Rd, Omkar Nagar, Arekere, Bengaluru, Karnataka 560076

Advisors

Venkata Raju
Prof. C Pandurangan
Manu Shukla