Adversarial Example
- Definition
- An adversarial example is an input that has been deliberately altered, often in ways a person cannot notice, so that a machine learning model gets it wrong, frequently with high confidence.
Showing 20 of 48 terms
Adversarial Machine Learning
- Definition
- Adversarial machine learning is the study of attacks that manipulate machine learning systems through their training data, inputs, or outputs, and of the defenses that make those systems harder to fool, corrupt,…
AI Audit Log
- Definition
- An AI audit log is a tamper-resistant record of every action an AI system took, including prompts, model responses, tool calls, data accessed, and human approvals, kept so the activity can be…
AI Gateway
- Definition
- An AI gateway is a proxy that sits between applications and model endpoints to enforce authentication, routing, rate limits, logging, and data policies for every request to an AI model.
AI Incident
- Definition
- An AI incident is an event in which an AI system's use or malfunction causes harm, such as an unfair decision about a person, a leak of confidential data, or an unauthorized…
AI Red Teaming
- Definition
- AI red teaming is the structured practice of attacking an AI system before and after deployment to find the prompts, inputs, and workflows that make it fail, leak data, or cause harm.
AI Security
- Definition
- AI security is the practice of protecting AI systems, including models, data, prompts, and agents, from attack and misuse, and of preventing a manipulated AI system from harming the business that runs…
Air-Gapped AI Deployment
- Definition
- An air-gapped AI deployment runs models on a network with no connection to the internet or to other networks, so data cannot leave and updates arrive only through controlled physical transfer.
Confidential Computing
- Definition
- Confidential computing protects data while it is being processed by running workloads in hardware-isolated, encrypted memory that the host operating system, the cloud operator, and other tenants cannot read.
Data Classification
- Definition
- Data classification is the process of labeling data by sensitivity, such as public, internal, confidential, or restricted, so that handling rules and access controls can be applied consistently.
Data Exfiltration
- Definition
- Data exfiltration is the unauthorized transfer of data out of an organization, whether by an outside attacker, a malicious insider, or an AI agent manipulated into sending information to an external destination.
Data Loss Prevention (DLP)
- Definition
- Data loss prevention (DLP) is a set of tools and policies that detect sensitive data in motion or at rest and block or flag attempts to move it outside approved boundaries.
Data Poisoning
- Definition
- Data poisoning is an attack that corrupts the data an AI system learns from or retrieves, so that the model later gives wrong answers, hides a backdoor, or favors the attacker.
Data Residency
- Definition
- Data residency is the requirement that specific data be stored and processed within a defined geographic location, usually to satisfy a law, regulation, or customer contract.
Data Sovereignty
- Definition
- Data sovereignty is the principle that data is subject to the laws and governance of the country where it is collected or stored, and the practice of keeping control of it accordingly.
Deepfake
- Definition
- A deepfake is synthetic audio, video, or imagery generated by AI to depict a real person saying or doing something they never did, usually convincingly enough to deceive a viewer.
Differential Privacy
- Definition
- Differential privacy is a mathematical guarantee that a statistic or model changes almost imperceptibly whether or not any one person's record is included, which bounds what anyone can learn about that person…
DORA (Digital Operational Resilience Act)
- Definition
- DORA, the Digital Operational Resilience Act, is the EU regulation that requires financial entities to manage ICT risk, report incidents, test resilience, and control the third-party technology providers they depend on, including…
DPIA and FRIA
- Definition
- A DPIA is the GDPR's data protection impact assessment for high-risk processing of personal data, and a FRIA is the EU AI Act's fundamental rights impact assessment that certain deployers of high-risk…
Encryption at Rest and in Transit
- Definition
- Encryption at rest protects stored data such as databases, files, and backups, and encryption in transit protects data moving across networks, so stolen disks or intercepted traffic cannot be read without the…
Facial Recognition
- Definition
- Facial recognition is a biometric technology that identifies or verifies a person by comparing the geometry of their face with stored templates. It is tightly regulated and carries high privacy and bias…
Federated Learning
- Definition
- Federated learning trains a shared machine learning model across several data holders without moving their raw data to a central location; only model updates travel between the participants and a coordinator.
GDPR (and AI)
- Definition
- The GDPR is the European Union's data protection law, and it governs any AI system that trains on or processes personal data of people in the EU, including automated decisions about them.
Guardrails
- Definition
- Guardrails are the controls placed around a generative AI model that check inputs and outputs against rules so the system stays within its intended scope, tone, and legal limits.
HIPAA (and AI)
- Definition
- HIPAA, the Health Insurance Portability and Accountability Act, is the US law that sets privacy and security rules for patient health information, including the information AI systems process for providers, health plans,…
Hybrid Deployment
- Definition
- A hybrid deployment runs part of an AI system on infrastructure the organization owns and part in a public cloud, placing each workload where its data sensitivity, cost, and capacity needs are…
Jailbreak
- Definition
- A jailbreak is a prompt or conversation designed to make a language model ignore its safety training and operating instructions so that it produces content or takes actions it was built to…
Least Privilege
- Definition
- Least privilege is the security principle that every user, service, and AI agent gets only the access its task requires, and only for as long as the task lasts.
Model Robustness
- Definition
- Model robustness is a model's ability to keep producing correct results when its inputs are noisy, unusual, shifted away from the training data, or deliberately manipulated by an attacker.
Multi-Tenancy
- Definition
- Multi-tenancy is an architecture in which one running instance of a platform serves several separate customers or business units, called tenants, keeping each tenant's data, users, and configuration isolated from the others.
On-Premises AI
- Definition
- On-premises AI is AI that runs on servers physically located in an organization's own facilities, keeping models, prompts, and data inside buildings and networks the organization controls.
Permission-Aware Retrieval
- Definition
- Permission-aware retrieval is the practice of restricting the documents a generative AI system can retrieve to those the requesting user is authorized to see, enforced before the model receives any text.
Personally Identifiable Information (PII)
- Definition
- Personally identifiable information (PII) is any data that can identify a specific person on its own or combined with other data, such as a name, address, account number, or biometric record.
PII Redaction
- Definition
- PII redaction is the automated removal or masking of personal identifiers from text, documents, audio, or images before the content is stored, shared, or sent to an AI model.
Private AI
- Definition
- Private AI is artificial intelligence that runs on infrastructure the organization controls, using models it owns or has the rights to run, so that prompts, documents, and outputs never leave its environment.
Prompt Injection
- Definition
- Prompt injection is an attack in which instructions hidden in content a language model processes, such as an email, document, or web page, cause it to act against its operator's intent.
Role-Based Access Control (RBAC)
- Definition
- Role-based access control (RBAC) is a method of managing permissions in which access rights are attached to job roles, and people receive access by being assigned to the roles that match their…
Sandboxing
- Definition
- Sandboxing is the practice of running an AI agent's actions, such as executing code or browsing the web, inside an isolated environment with limited access, so mistakes or attacks cannot reach production…
Secrets Management
- Definition
- Secrets management is the practice of storing, distributing, rotating, and auditing the credentials that software and AI agents use to reach other systems, such as API keys, passwords, and tokens.
Self-Hosted AI
- Definition
- Self-hosted AI is AI software and models that an organization installs and operates on servers it manages, rather than consuming them as a vendor's hosted service. The servers can be on-premises or…
Shadow AI
- Definition
- Shadow AI is the use of AI tools, models, or features at work without the knowledge or approval of IT, security, or governance owners. It most often starts with company data pasted…
Single Sign-On (SSO)
- Definition
- Single sign-on (SSO) is an authentication method that lets people sign in once through a central identity provider and then use many applications, including AI tools, without separate passwords.
Single-Tenant Deployment
- Definition
- A single-tenant deployment is an AI system in which the servers, model instance, databases, and configuration serve one organization only, with nothing shared with other customers of the provider or platform.
SOC 2 (and AI)
- Definition
- SOC 2 is an attestation report in which an independent CPA firm tests a service provider's controls over customer data. It covers a vendor's AI features only when they sit inside the…
Synthetic Data
- Definition
- Synthetic data is artificially generated data that reproduces the statistical properties of real data without containing real records, used to train and test models when real data is scarce, sensitive, or unbalanced.
Tool Governance
- Definition
- Tool governance is the set of policies and controls that determine which tools an AI agent may call, with what data, under whose identity, and with what approval or logging requirements.
Zero Trust
- Definition
- Zero trust is a security model in which no user, device, or service is trusted because of its network location, and every request to every resource is authenticated and checked against policy.
Zero-Trust AI Agent
- Definition
- A zero-trust AI agent is an agent deployed under zero-trust security principles: it authenticates for every request, holds only the permissions a task needs, and has every action verified and logged rather…
No terms match your search.
Try a broader keyword or another category.