Woodway Assurance congratulates its CEO, Dr. Khaled El Emam, and the Electronic Health Information Laboratory (EHIL), which he founded and leads at the CHEO Research Institute, on receiving the prestigious 2026 Privacy and Human Rights Award earlier this week from the Global Privacy Assembly, the forum for more than 130 privacy and data protection authorities worldwide, and the international human rights group Access Now. 

Read the full statement. 

On July 21, 2026, Woodway Assurance and the Electronic Health Information Laboratory hosted a webinar focused on automated, AI-enabled anonymization of text data, helping organizations unlock the value of text data for analytics, AI and data sharing. The recording is now available, as well as the presentation slides. 

Some of the richest data your organization holds isn’t sitting in a database. It’s buried in text: clinical notes, call-centre transcripts, claims narratives, support tickets, survey responses, incident reports, emails, case files. Text holds the patterns, context and signal that power sharper analytics, better research and AI models that actually understand your business. But text hides personal information in plain sight: a name dropped into a sentence, a date and a location that together point to one individual, or an offhand detail that re-identifies someone the moment it’s combined with other data. That risk is why so much high-value text never gets used. Join us on July 21, 2026 at 11 am EDT for a webinar on automated, AI-enabled privacy risk assessment for text data. We’ll walk through how to put text data to work responsibly and defensibly for analytics, AI and data sharing.

On June 23, 2026, Woodway Assurance and INQ Consulting hosted a webinar focused on how new AI-assisted approaches can help teams move through the full cycle of privacy risk assessment, data transformation, reassessment and evidence generation. During the webinar, we offer a demo of EviData’s capabilities. 

Woodway Assurance today launched EviData™ 3.0, evolving EviData into a multi-agentic AI platform that helps organizations protect data privacy by assessing whether datasets are ready for use and, when needed, performing privacy-preserving data transformations so valuable data can be put to work sooner for AI model training and inference, analytics, product development and responsible data sharing. 

Read the full press release

Organizations are under growing pressure to use data for analytics, research, AI and other secondary purposes, but assessing and managing privacy risk in anonymized or de-identified data remains difficult to do well, hard to scale and challenging to document. Even when organizations understand the need to assess re-identification risk, inference and other privacy risks, they often lack a practical way to apply rigorous methods consistently across datasets and decisions. The challenge becomes even greater when a risk assessment identifies areas of concern: teams then need to specialized expertise to understand what is driving the risk, decide which transformations may reduce it, apply those transformations without destroying the value of the data, reassess the dataset to determine whether the risk has been reduced enough for the intended use, and automatically produce the necessary robust evidence to support the assessment results. Join us for a fireside chat-style webinar on June 23rd at 11 am EDT. Dr. Khaled El Emam, CEO and Founder of Woodway Assurance, and Carole Piovesan, Co-Founder and Principal of INQ Consulting, will discuss and showcase how new AI-assisted approaches can help teams move through the full cycle of privacy risk assessment, data transformation, reassessment and evidence generation. Such AI agents make it easier for data analysts and business users to understand the risks in their data and to be guided through the steps to reduce and to manage that risk. This kind of AI sidekick democratizes re-identification risk assessments that work across jurisdictions.

OneTrust Data Guidance has published an article by Woodway Assurance Founder and CEO Khaled El Emam examining how new guidance from Ontario’s Information and Privacy Commissioner brings greater clarity and structure to anonymization practices for AI and secondary data use. The article explores key issues including re-identification risk, public versus non-public data sharing, quantitative risk assessment and inference evaluation — and explains how organizations can take a more practical, defensible and scalable approach to responsible data use.

On May 20, 2026, Woodway Assurance hosted a webinar examining the growing challenges organizations face in demonstrating that anonymized data meets evolving privacy requirements for analytics, research and AI. 

Strong privacy frameworks are the key to unlocking health data at scale for AI. Join us in Barcelona for this half-day briefing, on June 12^th from 1 to 5 pm, focused on anonymization strategies for building AI-ready health datasets. The workshop is delivered by Khaled El Emam, Founder and CEO of Woodway Assurance, and Lisa Pilgram, Head of Operations, Ottawa Medical AI Research Institute, Postdoctoral Fellow, University of Ottawa, and Clinician Scientist, Charité – Universitätsmedizin Berlin. Executives will learn how risk-based anonymization methods satisfy regulatory requirements and accelerate model development, enabling confident data reuse across multiple jurisdictions. The briefing will cover techniques for meeting the anonymization / de-identification requirements in the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA).

On April 20, 2026, PwC and EviData^TM by Woodway Assurance brought together leaders working across AI, privacy, risk and governance for a timely discussion about what it will take to move from AI ambition to responsible implementation.