AI
Training Data Leakage Mistakes and How to Fix Them
Neural networks memorise rare, unrepeated strings more reliably than frequent patterns, turning routine deduplication into a direct privacy risk.
data privacy
Everything TechSec Observer has reported about data privacy: 8 stories, newest first. Part of our Privacy & Policy coverage.
Privacy & Policy
Pseudonymization of Data: How to Reduce Risk Without Losing Utility
Pseudonymization separates identity from utility by replacing direct identifiers with reversible tokens, lowering breach impact while retaining analytical value for research and development.
Data Breaches
How Data Exfiltration Works: The Silent Stages of Theft
Attackers rarely break walls; they wait for you to leave the door open by abusing trusted channels and normalising small data transfers that bypass standard security checks.
Privacy & Policy
People-Search Sites: Risks and Protection for Small Businesses
Aggregators compile public records into searchable profiles, exposing staff details to social engineers without any consent or notification from the individuals involved.
AI
AI governance checklist for production systems
Governance fails when teams treat model outputs as static facts rather than probabilistic guesses that require constant validation and boundary enforcement.
Privacy & Policy
Stop People-Search Sites From Aggregating Your Personal Data
Most people-search sites scrape public records, not hacked databases, meaning data minimisation at the source is far more effective than removal requests.
AI
Training Data Leakage: How Private Information Escapes AI Models
Models memorise rare data points during training, allowing attackers to reconstruct sensitive records through carefully crafted queries.
Privacy & Policy
Legitimate Interest Under GDPR: Meaning, Definition and Practical Application
Legitimate interest allows lawful data processing without consent, but only when your needs do not override the individual's fundamental privacy rights.