Privado.ai

Did you know that 75% of the most visited websites are not privacy compliant? ?? Introducing the 2024 State of Website Privacy Report In this inaugural report, Privado.ai uncovers alarming privacy non-compliance from testing the 100 most visited websites in the US and Europe. Read the report to learn: ?? GDPR and CPRA compliance rates for the most visited websites ?? The magnitude of non-compliant data sharing without proper consent ?? Third-party data sharing benchmarks ?? Implications for privacy professionals Get the full report: ?? https://lnkd.in/dj6HcSEC #Privado #Privacy #TechNews #DataProtection #DataPrivacy #GDPR #CPRA #CCPA

Are you looking to align your teams on privacy risks and efficient solutions? Join our FREE webinar in partnership with Privado.ai on Dec 4! Sign up here: https://lnkd.in/ewpYzfnQ By joining, you will: ? Learn how code scanning can identify personal data flows, automate privacy audits, DPIAs, and RoPA reports. ? Ensure compliance through improved visibility and governance. ? Explore how privacy code scanning enhances data flow mapping, automation, and governance for improved privacy compliance.? ?Gain insights into the benefits of automating privacy audits and achieving real-time visibility into data collection, usage and sharing.? ?Learn how to foster cross-functional collaboration by developing a shared understanding of privacy risks across technical and non-technical teams. Vaibhav Antil Nishant Bhajaria #PrivacyWebinar #DataWebinar #DataProtection #Cyber

State privacy laws are advancing—but financial data is left behind. The CFPB’s new report raises serious concerns on financial data privacy. Financial companies collect and use sensitive consumer data daily. What kind of data is collected? - Financial institutions gather spending, income, and location data. - They track purchases, account balances, - and even browsing habits. - This data is sometimes sold or shared with third parties. State privacy laws leave financial data out: - Many state laws protect consumer data in other industries. - But financial institutions are often exempt from these protections. - This means financial data is less protected than other data types. Why does this matter? - Consumers care deeply about the privacy of their financial data. - In surveys, most people want full control over shared bank data. - Yet, current laws don’t give consumers meaningful choice. - Many don’t realize how their data is being collected or used. What risks does the report highlight? - Financial data misuse can lead to scams and dark patterns. - Predators use data to manipulate or target vulnerable consumers. - Mass data collection can result in unfair pricing or discrimination. - Some financial firms build revenue models around selling data. What does the report recommend? - The report calls attention to state law exemptions. - It suggests states reconsider how financial data is protected. - States could expand protections to include financial institutions. - This would give financial data the same safeguards as other data. The report is a call to protect sensitive financial information.

How do you avoid a false choice between compliance and efficiency in this age of GenAI. Mark your calendar for February 5-6, 2025, as Bridge Summit returns with its second edition—a premier virtual gathering for over 2,000 privacy professionals. This is the event for privacy engineers, technical leaders, and innovators to collaborate, learn, and lead the conversation on practical solutions to complex privacy challenges. Why Attend? Last year, experts from Uber, DoorDash, eBay, and Cisco shared actionable strategies that shaped privacy practices across industries. This year, we’re raising the bar: ?? Efficient Privacy Programs: Learn to streamline processes without compromising compliance or innovation. ?? Privacy-Safe AI & Digital Tracking: Gain insights into managing AI and tracking data flows with user consent and compliance. ?? Team Alignment: Discover how to align privacy, product, and engineering teams to support privacy by design. ?? Privacy as a Business Advantage: Explore how privacy can drive growth and competitive differentiation. ?? Secure your spot now: https://lnkd.in/dvMQEhrn https://lnkd.in/gc-PBXFE

We just launched our State of Privacy Report, and the findings are eye-opening! ?? #privado #dataprivacy #privacyengineering #privacycodescanning

Bridge Summit 2025: Where Privacy Engineers and Tech Leaders Solve Tomorrow’s Challenges Mark your calendar for February 5-6, 2025, as Bridge Summit returns with its second edition—a premier virtual gathering for over 2,000 privacy professionals. This is the event for privacy engineers, technical leaders, and innovators to collaborate, learn, and lead the conversation on practical solutions to complex privacy challenges. Why Attend? Last year, experts from Uber, DoorDash, eBay, and Cisco shared actionable strategies that shaped privacy practices across industries. This year, we’re raising the bar: ?? Efficient Privacy Programs: Learn to streamline processes without compromising compliance or innovation. ?? Privacy-Safe AI & Digital Tracking: Gain insights into managing AI and tracking data flows with user consent and compliance. ?? Team Alignment: Discover how to align privacy, product, and engineering teams to support privacy by design. ?? Privacy as a Business Advantage: Explore how privacy can drive growth and competitive differentiation. Bridge Summit 2025 isn’t just about discussions; it’s about outcomes. From hands-on frameworks to actionable insights, you’ll leave equipped to transform your privacy initiatives. ?? Secure your spot now: https://lnkd.in/dvMQEhrn #Privado #BridgeSummit2025 #technicalprivacysummit #dataprivacy #dataengineering #privacyengineering

#iapp #dpc24 folks! Come say hello to our team, learn about our recently released report on the state of website privacy, spin the wheel and win prizes.

Privado - open-source static code analysis tool is designed to detect sensitive (personal) data flows in your code, identify security vulnerabilities, and generate accurate?reports. Key Features: - Comprehensive Data Flow Detection: Detects over 110 personal data elements and maps data flows from collection points to external third parties, databases, logs, and internal APIs. - Supported Languages: Currently supports Java and Python, with more languages coming soon. - Quick Start: Easy setup with Docker and a simple CLI command to scan your repository. - Visualization and Reporting: Generate detailed reports and visualize results on the Privado Cloud Dashboard. - Privacy Compliance: Helps generate GDPR, CCPA, SOC, ISO, HIPAA, and PCI compliance reports. Use Cases: - Generate and maintain Data maps and Record of Processing Activity Reports ( RoPA / Article-30 Reports ) - Automate the generation of the data-flow diagrams - Identify and remove data leaks - Improve data storage security by identifying and fixing insecure practices - Finding and fixing unaccounted third-party sharing of data - Establish and enforce Data Protection and Governance policies - Incorporate various GDPR, CCPA, SOC, ISO, HIPAA, and PCI controls - Do continuous monitoring for privacy and data issues - Implement Privacy by Design Suitable tool for any Privacy experts and Data Protection specialists. https://lnkd.in/eEx-XxjS #DataSecurity #Privacy #Compliance #Cybersecurity

?? Huge congratulations to Luciano Ferreira, MBA Anushruti Shah Sandeep Tuppad Darshan Thadani Cephas J. Karthikeyan Ram, CIPP/E Ritesh Katal- CIPP/E, CIPM Ria Jham for completing the Technical Privacy Masterclass with Nishant Bhajaria! You've just taken a major step in transforming how privacy works in your organization. Through this comprehensive masterclass, you've tackled critical challenges like: ?? Building privacy programs that are proactive, scalable, and compliant ?? Privacy code scanning to protect customer data while enabling business agility ?? Designing privacy infrastructure that empowers both engineers and customers Nishant Bhajaria, with years of experience at Uber, Google, Netflix, and Nike, shared his invaluable insights to help these professionals build strong, future-ready frameworks for privacy. Become the privacy innovator your company needs—learn from the best and gain hands-on experience. With 26 lessons and 2 hours of actionable content, it’s the perfect fit for anyone serious about privacy engineering. ?? Get started ?? https://lnkd.in/didC_E9V #Privado #TechnicalPrivacy #PrivacyEngineering #DataPrivacy #Masterclass

Engineering and privacy teams often operate in silos, with engineers focused on APIs and microservices while privacy teams prioritize compliance and legal requirements. This misalignment can result in data maps that quickly become outdated, leaving critical privacy controls at risk. Frequent code updates and decentralized engineering processes add to the complexity, making it nearly impossible for privacy teams to keep pace with traditional data mapping methods. At Privado.ai, we've developed a solution that brings continuous visibility into data flows, bridging the gap between engineering and privacy teams without slowing down development. With privacy code scanning, data maps stay up-to-date, and critical privacy safeguards remain intact. ?? Find out how to make this possible with this guide that is packed with actionable insights on building a modern, privacy-first program: https://lnkd.in/dYP2HrF2 #privado #privacycodescanning #privacyengineering