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PDT 88 - 4 million seed - Seed - Protecto.pdf

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The document discusses how traditional data protection approaches are ineffective for modern AI applications due to factors like dynamic and adaptive nature of AI. It notes increasing privacy regulations globally and complexity for enterprises. The Protecto platform is introduced which protects sensitive data while preserving utility for AI through techniques like data transformation, synthetic data generation, and machine understandable privacy. The platform provides APIs, queue and bulk options. Use cases of securing a contract review bot and enabling data residency are presented. Protecto is positioned as superior to alternatives based on accuracy, ability to handle unstructured data etc. The founder backgrounds emphasizing data experience are shared. The near term roadmap covers securing LLMs, integrations and developing vertical specific capabilities. A $3M seed fund

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CONFIDENTIAL Privacy and Data Protection for Modern AI World WWW.PROTECTO.AI
CONFIDENTIAL Traditional data protection approaches are ineffective in AI 2 • Static Data Handling. Application, Data, and Compute are separate • Fixed, predefined functions • Rule-based, controlled UX • Mostly structured data • Data, Application logic, and compute are bundled. Continuously learns/evolves • Adaptive, Dynamic • Conversational, unpredictable user interactions • Unstructured/structured,- variety of data, multi- modal Vs. Traditional Applications Gen AI Applications Standard security controls - Role- based access, Encryption, etc Security/controls need to be defined
CONFIDENTIAL Regulations elevates complexity in enterprise data protection WWW.PROTECTO.AI 3 Statute/Bill in Legislative Process: Introduced In Committee Cross Chamber Cross Committee Passed Signed Privacy regulations are tightening – GDPR, CCPA, LGPD, POPI, HIPAA Canada Digital Privacy Act November 2018 California Consumer Privacy Act July 2020 Brasil General Data Protection Law August 2020 Chile Proposal Data Protection Law still in Drafting Stage US Competing data privacy bills issued in Congress EU ePrivacy Regulation still in Drafting Stage Nigeria Data Protection Regulation 2019 Uruguay Law on the Protection of Personal Data and Habeas Data January 2019 Argentina Proposal Data Protection Bill still in Drafting Stage South Africa Protection of Personal Information Act (POPIA) still to be determined Uganda Data Protection and Privacy Act still to be determined Singapore Personal Data Protection Act (PDPA) - 2012 China Personal Information Security Specification - May 2018 Thailand Personal Data Protection Act still to be determined New Zealand Privacy Bill 34-2 July 2019 Australia Privacy Act 1988 and Amendments- March 2014 India Personal Data Protection Bill 2018 Kenya Data Protection Bill still in Drafting Stage Stronger AI regulations expected across the globe AI Regulations
CONFIDENTIAL OUR PLATFORM 4
CONFIDENTIAL Protecto protects sensitive data while preserving utility of the data for AI W W W . P R O T E C T O . A I 5 Protecto Data Transform Name: John Smith Phone: 456-876-9345 Customer request … Name: John Smith Phone: 456 876 9345 Customer request … KLOJIOU HNLIHUE 987-923-0234 Gen AI Apps LLMs Find Sensitive Data Privacy Transform Machine Understandable Synthetic Data 1 2 3 Utility of the Data Privacy and Data Security Enterprise Data
CONFIDENTIAL WWW.PROTECTO.AI 6 Makes gen-AI apps privacy-preserving, compliant, and secure in minutes 3 Ways to Consume Protecto Tokenization APIs Queue Bulk Sub-second Performance Updates in minutes For large migrations (Millions/billions of rows) No Complex Setup Enterprise ready – SOC2, Gen AI framework integrations
CONFIDENTIAL Data Protection throughout your AI Lifecycle W W W . P R O T E C T O . A I 7 Build, Train Tune, RAG Deploy Use Scan & De-identify Remove PII, Sensitive Data Response Prevent PII Leak, Privacy Controls Prompts PII/Data Security scan, DLP Filter
CONFIDENTIAL Case Study 1 – Securing contract review bot (RAG) WWW.PROTECTO.AI 8 Goal: Gen AI App based on the Retrieval-Augmented Generation (RAG) that uses historical contracts as context to create review contracts Data Protection Challenge: The AI agent could expose confidential data from historic contracts, such as who wrote the contract to whom Customer: A Large Telco
CONFIDENTIAL Case Study 2 – Enabling Data Residency of Sensitive Data Goal: Leverage OpenAI's capabilities for processing sensitive data, specifically driver history and criminal records WWW.PROTECTO.AI 9 Data Protection Challenge: Sending personal data violates data regulations and data residency requirements Customer: A Large Consumer Tech
CONFIDENTIAL Protecto vs. Alternatives WWW.PROTECTO.AI 10 Data Masking for PCI Previous-Gen Data Masking Protecto Private Cloud SaaS SaaS On-Premises Private Cloud SaaS Deployment Options Accuracy only on certain elements No Very high accuracy Identify Sensitive Data Regex based No Multiple AI/ML Models, Algo, Regex, LLMs + Heuristic models No No Options to expand custom identification No No Yes Multimodal No Format only Format, Type, Length Preserving Format-Preserving Masking Yes No Yes Mask Unstructured Data No Consistent Pseudonymization Consistent Pseudonymization, Anonymization Consistent Tokens/ Data Integrity No No Model instructions for higher comprehension of masked data Masked Data Comprehension Encryption-key based Encryption-key based Stronger Protection Random number-based tokens Security Reduce Utility Loss Identify Risks
CONFIDENTIAL Founders with deep data experience WWW.PROTECTO.AI 11 • Second-time entrepreneur. Cofounded and scaled the previous startup to $10M ARR • Microsoft Search & AI, Sun Microsystems, Booz & Co • MBA from Carnegie Mellon • MS from LSU. Engineering from CEG, Guindy Amar Kanagaraj Founder & CEO • 18+ years in Apple • Expert in data engineering • Led privacy engineering efforts inside Apple • Handled petabyte-scale data problems • Engineering from CEG, Guindy Baskaran Alagarsamy Co-founder & CTO Team 15+ Engineers (Full Time) Customers: Kar Global (KAR), Brookfield, Belcorp, Nokia Funding: Angel Investors (Nov 21) Head of Android Security, Google Chief Product Officer, 2nd largest cybersecurity firm GM of Incubations, Microsoft CIOs, CTOs of Large tech companies Product Version v0.1 Live (Fall 22)
CONFIDENTIAL GTM - Developer centric, Gen-AI platform focused 12 Data/ AI Marketplaces Partners 2024 Goals: $1M+ ARR 5 Year: $100M ARR, 1000 Customers Snowflake Databricks Open AI Huggingface Developer Focused PLG Integration with Langchain, LLamaIndex, LangSmith AWS Bedrock Community evangelism Solution Integrators 1 2 3
CONFIDENTIAL Near Term Roadmap www.Protecto.ai 13 Secure LLMs • GPTGuard - Privacy-Preserving and Secure ChatGPT for enterprises Integrations • Gen AI frameworks • Opensource Frameworks • AWS Bedrock • Snowflake Cortex • Developer templates Vertical Specific • Vertical (Health, Finance) specific sensitive data Transformations • Vertical-specific custom GPT agents Multi-Modal • Sensitive information Identification across image/video • Masking, Blurring / Pixelation Privacy Engineering • Differential Privacy • Privacy Metrics
CONFIDENTIAL Fund Raise WWW.PROTECTO.AI 14 $3M RAISING SEED: TARGET $2M ARR TIME: 18-24 MONTHS Expand engineering Execute GTM. Drive inbound/outbound marketing, build channel sales Drive developer evangelism Define the category, establish leadership

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  • 1. CONFIDENTIAL Privacy and Data Protection for Modern AI World WWW.PROTECTO.AI
  • 2. CONFIDENTIAL Traditional data protection approaches are ineffective in AI 2 • Static Data Handling. Application, Data, and Compute are separate • Fixed, predefined functions • Rule-based, controlled UX • Mostly structured data • Data, Application logic, and compute are bundled. Continuously learns/evolves • Adaptive, Dynamic • Conversational, unpredictable user interactions • Unstructured/structured,- variety of data, multi- modal Vs. Traditional Applications Gen AI Applications Standard security controls - Role- based access, Encryption, etc Security/controls need to be defined
  • 3. CONFIDENTIAL Regulations elevates complexity in enterprise data protection WWW.PROTECTO.AI 3 Statute/Bill in Legislative Process: Introduced In Committee Cross Chamber Cross Committee Passed Signed Privacy regulations are tightening – GDPR, CCPA, LGPD, POPI, HIPAA Canada Digital Privacy Act November 2018 California Consumer Privacy Act July 2020 Brasil General Data Protection Law August 2020 Chile Proposal Data Protection Law still in Drafting Stage US Competing data privacy bills issued in Congress EU ePrivacy Regulation still in Drafting Stage Nigeria Data Protection Regulation 2019 Uruguay Law on the Protection of Personal Data and Habeas Data January 2019 Argentina Proposal Data Protection Bill still in Drafting Stage South Africa Protection of Personal Information Act (POPIA) still to be determined Uganda Data Protection and Privacy Act still to be determined Singapore Personal Data Protection Act (PDPA) - 2012 China Personal Information Security Specification - May 2018 Thailand Personal Data Protection Act still to be determined New Zealand Privacy Bill 34-2 July 2019 Australia Privacy Act 1988 and Amendments- March 2014 India Personal Data Protection Bill 2018 Kenya Data Protection Bill still in Drafting Stage Stronger AI regulations expected across the globe AI Regulations
  • 5. CONFIDENTIAL Protecto protects sensitive data while preserving utility of the data for AI W W W . P R O T E C T O . A I 5 Protecto Data Transform Name: John Smith Phone: 456-876-9345 Customer request … Name: John Smith Phone: 456 876 9345 Customer request … KLOJIOU HNLIHUE 987-923-0234 Gen AI Apps LLMs Find Sensitive Data Privacy Transform Machine Understandable Synthetic Data 1 2 3 Utility of the Data Privacy and Data Security Enterprise Data
  • 6. CONFIDENTIAL WWW.PROTECTO.AI 6 Makes gen-AI apps privacy-preserving, compliant, and secure in minutes 3 Ways to Consume Protecto Tokenization APIs Queue Bulk Sub-second Performance Updates in minutes For large migrations (Millions/billions of rows) No Complex Setup Enterprise ready – SOC2, Gen AI framework integrations
  • 7. CONFIDENTIAL Data Protection throughout your AI Lifecycle W W W . P R O T E C T O . A I 7 Build, Train Tune, RAG Deploy Use Scan & De-identify Remove PII, Sensitive Data Response Prevent PII Leak, Privacy Controls Prompts PII/Data Security scan, DLP Filter
  • 8. CONFIDENTIAL Case Study 1 – Securing contract review bot (RAG) WWW.PROTECTO.AI 8 Goal: Gen AI App based on the Retrieval-Augmented Generation (RAG) that uses historical contracts as context to create review contracts Data Protection Challenge: The AI agent could expose confidential data from historic contracts, such as who wrote the contract to whom Customer: A Large Telco
  • 9. CONFIDENTIAL Case Study 2 – Enabling Data Residency of Sensitive Data Goal: Leverage OpenAI's capabilities for processing sensitive data, specifically driver history and criminal records WWW.PROTECTO.AI 9 Data Protection Challenge: Sending personal data violates data regulations and data residency requirements Customer: A Large Consumer Tech
  • 10. CONFIDENTIAL Protecto vs. Alternatives WWW.PROTECTO.AI 10 Data Masking for PCI Previous-Gen Data Masking Protecto Private Cloud SaaS SaaS On-Premises Private Cloud SaaS Deployment Options Accuracy only on certain elements No Very high accuracy Identify Sensitive Data Regex based No Multiple AI/ML Models, Algo, Regex, LLMs + Heuristic models No No Options to expand custom identification No No Yes Multimodal No Format only Format, Type, Length Preserving Format-Preserving Masking Yes No Yes Mask Unstructured Data No Consistent Pseudonymization Consistent Pseudonymization, Anonymization Consistent Tokens/ Data Integrity No No Model instructions for higher comprehension of masked data Masked Data Comprehension Encryption-key based Encryption-key based Stronger Protection Random number-based tokens Security Reduce Utility Loss Identify Risks
  • 11. CONFIDENTIAL Founders with deep data experience WWW.PROTECTO.AI 11 • Second-time entrepreneur. Cofounded and scaled the previous startup to $10M ARR • Microsoft Search & AI, Sun Microsystems, Booz & Co • MBA from Carnegie Mellon • MS from LSU. Engineering from CEG, Guindy Amar Kanagaraj Founder & CEO • 18+ years in Apple • Expert in data engineering • Led privacy engineering efforts inside Apple • Handled petabyte-scale data problems • Engineering from CEG, Guindy Baskaran Alagarsamy Co-founder & CTO Team 15+ Engineers (Full Time) Customers: Kar Global (KAR), Brookfield, Belcorp, Nokia Funding: Angel Investors (Nov 21) Head of Android Security, Google Chief Product Officer, 2nd largest cybersecurity firm GM of Incubations, Microsoft CIOs, CTOs of Large tech companies Product Version v0.1 Live (Fall 22)
  • 12. CONFIDENTIAL GTM - Developer centric, Gen-AI platform focused 12 Data/ AI Marketplaces Partners 2024 Goals: $1M+ ARR 5 Year: $100M ARR, 1000 Customers Snowflake Databricks Open AI Huggingface Developer Focused PLG Integration with Langchain, LLamaIndex, LangSmith AWS Bedrock Community evangelism Solution Integrators 1 2 3
  • 13. CONFIDENTIAL Near Term Roadmap www.Protecto.ai 13 Secure LLMs • GPTGuard - Privacy-Preserving and Secure ChatGPT for enterprises Integrations • Gen AI frameworks • Opensource Frameworks • AWS Bedrock • Snowflake Cortex • Developer templates Vertical Specific • Vertical (Health, Finance) specific sensitive data Transformations • Vertical-specific custom GPT agents Multi-Modal • Sensitive information Identification across image/video • Masking, Blurring / Pixelation Privacy Engineering • Differential Privacy • Privacy Metrics
  • 14. CONFIDENTIAL Fund Raise WWW.PROTECTO.AI 14 $3M RAISING SEED: TARGET $2M ARR TIME: 18-24 MONTHS Expand engineering Execute GTM. Drive inbound/outbound marketing, build channel sales Drive developer evangelism Define the category, establish leadership