DAPLE (C1) flashcards
DAPLE (C1) · Build recall with a focused review session.
36 cards. Read the term and the definition here. The deck at the top of this page is optional.
- Lawful basis
- A GDPR Article 6 condition making processing permissible: consent, contract, legal obligation, vital interests, public task, or legitimate interests. Every processing activity needs at least one documented basis.
- Special category data
- Personal data needing an extra Article 9 condition: racial or ethnic origin, political opinions, religion, trade-union membership, genetic and biometric identification data, health, sex life, sexual orientation.
- Joint controllers
- Two or more parties that jointly determine purposes and means of processing. Article 26 requires a transparent arrangement allocating responsibilities, but each party remains liable toward data subjects.
- Data Protection Impact Assessment
- A structured assessment required where processing likely creates high risk, such as systematic monitoring or large-scale special-category processing. It documents necessity, proportionality, risks and mitigations before processing starts.
- Accountability principle
- The obligation to demonstrate compliance, not merely achieve it. Evidence includes records of processing, policies, DPIAs, training records, and audit results retained and available to a supervisory authority.
- Records of Processing Activities
- An Article 30 register listing each processing activity with purposes, data and subject categories, recipients, third-country transfers, retention periods, and security measures. It is the backbone of governance evidence.
- Storage limitation
- A principle requiring personal data to be kept no longer than necessary for its purpose. Operationally it means a defined retention trigger plus a documented, executed disposal method.
- Privacy champion network
- Business-unit representatives who embed privacy requirements into local processes, triage questions to the central privacy team, and surface new processing activities before they go live.
- Data classification tiers
- A scheme such as Public, Internal, Confidential, Restricted that assigns handling rules - encryption, access approval, retention, disposal - based on sensitivity and harm if disclosed.
- Data flow mapping
- A record of how personal data moves between systems, teams, processors and jurisdictions, including collection points and recipients. It exposes cross-border hops and shadow transfers missed by system inventories.
- Unstructured data blind spot
- Documents, email, images and chat hold personal data outside database schema, so discovery tooling and user reporting are needed to include them in inventory and retention enforcement.
- Data inventory metadata
- Per-asset attributes such as owner, hosting location, classification, lawful basis, retention rule, access group and transfer mechanism. These attributes make the inventory usable for DPIAs and rights requests.
- Defence in depth
- Layering independent controls across perimeter, network, host, application and data so a single failure does not expose personal data. Each layer should map to a specific identified threat.
- Zero trust architecture
- A model that removes implicit trust from network location. Every request is authenticated, authorised and encrypted per session, with least privilege and continuous verification of context.
- Break-glass account
- An emergency privileged account used when normal access fails. It requires documented approval, time-boxed use, full session logging, and post-use credential rotation and review.
- Data masking in test environments
- Replacing or obscuring production personal data before use in non-production systems, so developers and testers work with realistic but non-identifying values. Tokenisation and synthetic data are alternatives.
- Authenticated encryption
- Encryption that provides both confidentiality and integrity, such as AES-GCM, or CBC combined with a separate MAC. It detects tampering that unauthenticated modes would silently accept.
- Envelope encryption
- A pattern where a data key encrypts the data and a root key held in an HSM or KMS encrypts the data key. Rotating the root key avoids re-encrypting bulk data.
- Password key derivation function
- A deliberately slow, salted algorithm such as Argon2, scrypt, bcrypt or PBKDF2 used to store passwords. Salting defeats precomputed tables; slowness raises offline cracking cost.
- Crypto-agility
- Designing systems so algorithms, key lengths and providers can be replaced without redesigning the application. It enables migration from deprecated ciphers and preparation for post-quantum algorithms.
- Attribute-based access control
- Authorisation decisions computed from attributes of user, resource, action and context, such as department, data classification and time. It supports fine-grained, policy-driven decisions better than static roles.
- Just-in-time privilege elevation
- Granting administrative rights only for a defined window after approval, then revoking automatically. It reduces standing privilege and creates an auditable record of who held elevated access and when.
- Access recertification
- A periodic review in which managers or resource owners confirm each user's entitlements remain necessary. Unconfirmed or orphaned access is revoked, producing evidence for audit.
- FIDO2 phishing-resistant authentication
- A standard using public-key credentials bound to the originating website, typically via hardware keys or platform authenticators. It resists credential phishing because no shared secret is transmitted.
- Awareness moment for breach clock
- The point at which an organisation has a reasonable degree of certainty that a security incident occurred and personal data may be affected. The 72-hour notification period starts here.
- Chain of custody
- A documented, unbroken record of who handled digital evidence, when, and what was done. It includes hashes at collection and supports admissibility in legal or regulatory proceedings.
- Phased breach notification
- Submitting an initial notification within the deadline with known facts, then supplementing as the investigation progresses. It satisfies the timing rule without waiting for complete scope.
- Processor breach notification duty
- A processor must inform the controller without undue delay after becoming aware of a personal data breach. The controller, not the processor, decides on authority and data-subject notification.
- Transfer impact assessment
- An analysis of the destination country's laws and practices, particularly public-authority access, and whether supplementary technical or organisational measures make the transfer effectively equivalent to domestic protection.
- Standard Contractual Clauses
- Pre-approved contractual terms used to legitimise transfers to countries without an adequacy decision. They impose obligations on importer and exporter and require a supporting transfer assessment.
- Sub-processor authorisation
- The rule that a processor may engage another processor only with prior or general written authorisation from the controller, with notice and objection rights and equivalent obligations flowed down.
- Vendor exit and deletion
- Contractual provisions covering return of data in a usable format, confirmed deletion, transition assistance, and escrow for critical services when the relationship ends.
- Differential privacy
- A technique adding calibrated noise to query results so an individual's presence in a dataset cannot be reliably inferred. The epsilon parameter trades accuracy against privacy protection.
- Data protection by default
- A requirement that default settings collect and expose only the personal data necessary for the chosen purpose, without the user having to change configuration to reduce exposure.
- Pseudonymisation
- Replacing identifiers with codes so data cannot be attributed to a person without additional separately held information. The data remains personal data and within scope of the law.
- Federated learning privacy risk
- Training models locally keeps raw data distributed, but shared model updates can leak information through memorisation or gradient inversion, so noise, aggregation limits and secure aggregation are needed.