Bridge Summit 2025
who it's for
privacy engineers, chief privacy officers, data protection officers, product managers, security engineers, compliance and legal counsel
topics
product-driven privacy engineering; adtech sharing and regulation; consent simulation for websites; Android APK mobile scanners; AI/ML automated data mapping; continuous privacy checks in CI/CD; LLM-assisted privacy reviews; trustworthy AI governance; privacy risk dashboards and scorecards; privacy assessments and PIAs
| title | author | length |
|---|---|---|
| How product-driven privacy ensures real compliance | Prashant Mahajan, Aaron Weller, Kelly Peterson Miranda, Vaibhav Antil | 49m |
Claims that trust fails at scale and regulators demand proof lead to a shift to continuous technical checks: a website scanner that simulates consent across… | ||
| Adtech Privacy Risk: Increasing Regulation and Enforcement | Robert Bateman, Daniel Goldberg, Andrea Wheeler, Rowena Lam, Raashee Gupta Erry | 28m |
Enforcement shifts from federal to state regulators drives fines for non‑compliant adtech sharing: expect action on precise geolocation (16+ state laws), broad… | ||
| How Privacy Engineers Deliver ROI | Alon Levy, Luke Oglesbee, Saima Fancy, Nishant Bhajaria | 28m |
Panelists describe building automated privacy platforms that perform AI/ML-based classification and generate end-to-end data maps so a breach shows exactly… | ||
| From the Trenches: Solving AI Governance Challenges | Henri Kujala, Jon Adams, Shoshana Rosenberg, Barbara Mangan Sondag, Nishant Bhajaria | 28m |
Practical examples focus on building an internal AI development platform that provisions test QA and production environments, ships guardrails-as-a-service by… | ||
| The Evolution of the DPO: Reducing Risk at the Speed of Innovation | Steve Wright, Sarah Rudge, Kadir Ider | 30m |
Claims that the DPO role shifts from checkbox compliance to strategic, embedded risk management, backed by practical moves: adopting Provado and IcePanel for… | ||
| Preventing Consent and Data Sharing Risks in the US and Europe | Ben Werner, Patrick Murthey | 29m |
Platform scans source code via SCM/CICD and runs dynamic user-simulated scans of live sites and apps, surfacing exact data elements, API calls and third‑party… | ||
| The 2025 Privacy Regulatory Landscape: US and Europe | Keir Lamont, Robert Bateman, Matthew Nuding | 31m |
2025 centers on concrete obligations: EU regulators issue EDPB guidance and the Commission issues DSA child-protection rules that force platforms to pick… | ||
| The Strategic CPO: Managing Risk and the Board | Stuart Lee, Rachel Wallis, Peter Miller, Sandeep Amar | 28m |
Panel lists concrete tactics: adopt the NIST Privacy Framework plus a CMM-style scorecard to quantify progress, embed privacy engineering with existing tools… | ||
| The State of Mobile App Privacy: Compliance Trends & Takeaways | Vaibhav Antil | 25m |
Privado.ai scans 25 top Android apps (Dec 2024) with a Privado mobile scanner and finds apps collect an average of 19 data elements (range 4–40), typically 4… | ||
| Turning Privacy Compliance into a Business-Enabler | Nishant Bhajaria, Sonia Siddiqui, Sharon Anolik, Justin Lombardi | 28m |
Panel claims privacy can become a revenue enabler by shipping specific artifacts and metrics not vague promises: build internal dashboards that become a… | ||
| Automating Privacy Reviews with LLMs: Challenges & Opportunities | Engin Bozdag, Stefano Bennati, Ios Kotsogiannis, Ugur Koc | 29m |
Experiments show LLMs classifying privacy reviews with false negatives comparable to a junior reviewer and summarizing documents to cut reviewer words by about… | ||
| Making Trustworthy AI a Business Advantage | Conor Hogan, George Jones, Vasudha Hegde, Nishant Bhajaria | 31m |
Panel explains that trustworthy AI means systems that do exactly what they say, backed by concrete data practices: DoorDash-style AI governance programs… | ||
| Technical Privacy Review Workshop | Tariq Yusuf | 26m |
Step-by-step method for running a technical privacy review program: how to intake requests via a triage form, triage to quick fixes or roadmaps, and move… | ||
| Making Privacy Assessments More Efficient | Debra J Farber, Dylan Weinberger, Mira Olson, Nik Fuller | 30m |
Shows concrete tactics: automating intake with Slack workflows that create Jira tickets and Airtable prefilling, auto‑triaging low‑sensitivity cases to reduce… | ||
| How Software is Developed for Privacy Professionals | Suchakra Shara, Nishant Bhajaria | 21m |
Claims that most privacy failures originate in code and become costly once databases fill, and that shift left automation (scanning commits and CI pipelines)… | ||
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