By NHI Mgmt Group Editorial TeamPublished 2025-07-03Domain: Governance & RiskSource: Cyera

TL;DR: Quebec Law 25 expands privacy rights beyond PIPEDA with stricter DPIA, consent, breach notification, and data subject requirements, and noncompliance can trigger fines up to 25,000,000 CAD or 4 percent of gross revenue, according to Cyera. For IAM and NHI teams, the practical issue is not just privacy compliance, but proving who can access data, what they do with it, and where it moves.


At a glance

What this is: This is Cyera's analysis of Quebec Law 25 and how it changes privacy, breach, and access governance expectations beyond PIPEDA.

Why it matters: It matters because compliance now depends on tighter control over data access, identity visibility, and jurisdictional movement across human and non-human users.

👉 Read Cyera's analysis of Quebec Law 25 and data privacy governance


Context

Quebec Law 25 is a privacy law that raises the operating bar for how organisations collect, classify, retain, and disclose personal data. For IAM teams, the key issue is that privacy compliance now depends on knowing which identities can reach sensitive data, where that data travels, and whether access and use are defensible under law.

PIPEDA remains a baseline, but it is no longer a sufficient control model on its own for organisations touching Quebec personal information. The law’s added requirements around DPIAs, consent, breach notification, and subject rights make identity visibility, access review, and data governance part of the same compliance problem.


Key questions

Q: How should organisations govern access to personal data under Quebec Law 25?

A: They should treat access governance as part of privacy compliance, not a separate IAM task. That means knowing which humans, external parties, and non-human identities can reach personal data, documenting why they need it, and reviewing whether that access is still justified. Access controls must be paired with audit evidence that supports breach and subject-rights obligations.

Q: Why do non-human identities matter in privacy compliance?

A: Non-human identities often sit on the shortest path to personal data because they power integrations, automation, and analytics. If they are over-permissioned or left out of review cycles, they can create untracked access and unauthorized use. Privacy teams need them in the same governance model as human users because the law cares about what happens to the data, not just who logged in.

Q: What should teams prioritise first for Quebec Law 25 readiness?

A: Start with data discovery, access mapping, and jurisdictional review. If you do not know where Quebec personal information lives or which identities can move it, you cannot complete DPIAs, support subject requests, or assess whether a confidentiality incident has occurred. Those three controls create the baseline for every other compliance action.

Q: Who is accountable when unauthorized use of personal information occurs?

A: Accountability sits with the organisation that controls the data, but the operational evidence often comes from IAM, data security, and legal teams together. The practical test is whether the business can show who accessed the data, what they did with it, and whether the action was permitted under policy and law.


Technical breakdown

DPIAs and data movement controls

Law 25 pushes privacy review earlier in the system lifecycle by requiring DPIAs in certain circumstances. That changes the technical question from simple storage protection to tracing how data moves across SaaS, cloud, and on-prem environments, and which access paths can place Quebec personal information outside approved jurisdictions. In practice, the control problem is not just classification. It is also proving that downstream access, replication, and transfer patterns are aligned to the documented assessment.

Practical implication: tie jurisdictional data movement checks to DPIA workflows before new systems or transfers go live.

Breach notification and identity activity

Law 25 expands the meaning of a confidentiality incident beyond unauthorized access to include unauthorized use of personal information. That matters because identity telemetry now becomes evidence, not just detection noise. Security teams need to distinguish between an account that merely touched data and an identity that used it in a way that creates notification or escalation obligations, especially where internal and external entities share the same data estate.

Practical implication: retain access and usage logs that let investigators prove both access and use of personal data.

Access controls for human and non-human identities

The article explicitly ties Law 25 compliance to identity access visibility across internal, external, human, and non-human identities such as IoT devices and AI copilots. That is a governance signal, not a product feature. The same access model must show who can reach data, whether those identities are over-permissioned, and whether weak authentication or stale access undermines least privilege. For NHI programmes, the challenge is lifecycle control over machine access in a privacy regime that now cares about data use outcomes.

Practical implication: include non-human identities in access catalogues, recertification, and least-privilege reviews for personal data.


Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.


NHI Mgmt Group analysis

Quebec Law 25 turns data access governance into privacy governance. The article makes clear that compliance is no longer limited to storage location or breach response. Once unauthorized use is part of the confidentiality incident definition, organisations need to know which identities can access personal data and how that access is exercised. The implication is that identity governance and privacy compliance are now a single control plane, especially where NHIs and external users touch regulated data.

Data subject rights expose the gap between classification and traceability. The law’s stronger erasure and subject access requirements assume organisations can find personal data quickly and prove what happened to it. That is harder when data is fragmented across SaaS, cloud, and on-prem systems. The named concept here is traceability debt: the accumulated inability to locate, explain, and validate data handling decisions across the estate. Practitioners should read that as a governance weakness, not a reporting inconvenience.

Non-human identity visibility is now a privacy control, not just a security metric. The article’s inclusion of IoT devices and AI copilots shows that machine access can no longer sit outside privacy scoping. If a service identity can read, copy, or move Quebec personal information, it participates in compliance exposure whether or not a human ever logs in. Teams should treat NHI cataloguing and access review as part of privacy assurance, not a separate security exercise.

Jurisdictional controls need to follow the data, not the organisational chart. Law 25’s DPIA and breach provisions imply that data location, access path, and use context matter at least as much as business ownership. That becomes especially important where the same platform serves multiple jurisdictions. Practitioners should expect privacy governance to move closer to policy enforcement, with access decisions conditioned on where data resides and who can act on it.

Queueing privacy controls behind implementation creates avoidable compliance debt. The article shows that Law 25 is now fully in effect, which means retroactive governance is expensive. If consent logic, subject access workflows, and breach classification are bolted on after data pipelines are live, the organisation inherits a structural gap. The implication is clear: privacy architecture has to be designed with identity and data movement controls from the start.

From our research:

  • 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to Ultimate Guide to NHIs.
  • Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them, which is a useful benchmark for privacy teams evaluating machine access lifecycle controls.
  • Privacy programmes that need lifecycle context should also review Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs before expanding data access governance to machine identities.

What this signals

Traceability debt: Quebec Law 25 pushes organisations to prove not just where data resides, but how it moves and who uses it. That means the next maturity step is a joined-up model for data lineage, access lineage, and jurisdictional policy enforcement across human and non-human identities.

For privacy and IAM teams, this is a governance reset rather than a narrow legal update. Organisations that already struggle with access review quality should expect the same weaknesses to show up in subject access requests, erasure validation, and incident classification, especially where machine identities are involved.


For practitioners

  • Map Quebec personal data to identity paths Build an inventory that links personal data stores to the humans, external users, and non-human identities that can reach them. Include service accounts, AI copilots, and third-party access paths so you can show who can touch regulated data and under what conditions.
  • Tie DPIAs to data transfer decisions Require a documented DPIA before any system change that introduces new data flows, new jurisdictions, or new processing purpose. Treat the assessment as a gate for implementation, not a paper exercise after rollout.
  • Separate access and use evidence Retain logs that show both successful access and subsequent use of personal data so incident teams can determine whether an event is a confidentiality incident under Law 25. That evidence should be queryable by identity, dataset, and jurisdiction.
  • Include NHIs in recertification cycles Add machine identities to access reviews for personal data, especially where service accounts or automated tools can read, copy, or export customer information. If an identity cannot be recertified, its access should be considered ungoverned.

Key takeaways

  • Quebec Law 25 makes identity and data governance inseparable because unauthorised use now matters, not only unauthorised access.
  • The scale of the problem is visible in both the legal exposure and the operational burden of proving where personal data is and who can use it.
  • Teams need to connect data discovery, access review, and jurisdictional controls before they can credibly meet DPIA, breach, and subject-rights obligations.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST SP 800-63 set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
NIST CSF 2.0PR.AC-4Access permissions must reflect lawful data use and least privilege.
NIST Zero Trust (SP 800-207)Jurisdictional access and continuous verification align to zero trust policy enforcement.
NIST SP 800-63Federated and external access to personal data depends on reliable identity assurance.

Require strong identity proofing and authentication for users reaching regulated data.


Key terms

  • Confidentiality Incident: A confidentiality incident is any event that exposes personal information to unauthorized access or unauthorized use. In privacy programmes, the key issue is not only whether data was reached, but whether it was used in a way that creates legal or regulatory exposure under the governing privacy law.
  • Data Protection Impact Assessment: A Data Protection Impact Assessment is a structured review of how a system, change, or transfer could affect personal data privacy. It is used to identify risk before implementation, especially where new processing, new jurisdictions, or new access paths might increase exposure.
  • Non-Human Identity: A non-human identity is any machine-held identity used by software, services, devices, automation, or AI systems to authenticate and access resources. These identities often carry persistent permissions and need lifecycle governance because they can move, copy, or use personal data without a human logging in.
  • Traceability Debt: Traceability debt is the accumulated inability to reconstruct where data went, who accessed it, and how it was used across a fragmented environment. It becomes a governance problem when teams cannot answer privacy, audit, or incident questions quickly enough to meet regulatory obligations.

Deepen your knowledge

Quebec Law 25 access governance and privacy assurance are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are extending privacy controls to machine identities and data movement, it is worth exploring.

This post draws on content published by Cyera: Quebec Law 25: What’s New? Read the original.

NHIMG Editorial Note
Published by the NHIMG editorial team on 2025-07-03.
NHI Mgmt Group — the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org