LLM Tokenization
The pre-processing technique dividing natural language text into discrete tokens or subwords for model processing.

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
The unauthorised transfer, disclosure, or removal of data from a system, network, application, or controlled environment.
Exfiltration can expose personal data, intellectual property, credentials, regulated information, and commercial strategy, leading to operational disruption, notification duties, financial loss, and reputational damage.
An attacker compromises a SaaS administrator account and exports customer records to external storage. Identity telemetry, unusual-download alerts, and egress controls detect and contain the activity.
Data exfiltration is an outcome, not a single attack technique. Legitimate transfers can look similar, encrypted traffic reduces content visibility, and prevention controls can disrupt normal work if classification and policies are poorly designed.
Exfiltration may occur through network channels, cloud services, removable media, compromised accounts, malicious insiders, covert protocols, or authorised tools used outside policy. It can be rapid or deliberately low-volume to evade detection. Controls include data classification, least privilege, egress filtering, data loss prevention, behavioural monitoring, encryption, and incident response.
AI Governance, Data Engineering
MITRE ATT&CK — Exfiltration — https://attack.mitre.org/tactics/TA0010/; NIST Cybersecurity Framework — https://www.nist.gov/cyberframework
The pre-processing technique dividing natural language text into discrete tokens or subwords for model processing.
A modern software design paradigm assembling modular, decoupled business capabilities through independent APIs and microservices.
The core networking protocol facilitating request-and-response data communications across the global World Wide Web.
Software routines that detect, manage, isolate, and recover from runtime execution errors without collapsing operations.
A mathematical discipline using historical patterns and predictive algorithms to forecast future probabilities and trends.