AI
Shadow AI usage: how to control unmanaged model access in your firm
Unmanaged AI tools create data leakage paths that bypass traditional network controls, turning internal documents into public training data without IT knowledge.
ai security
Everything AppSec Scoop has reported about ai security: 8 stories, newest first. Part of our AI coverage.
AI
AI Vendor Assessments: Technical Checks for Secure Procurement
Standard security questionnaires fail to reveal how model weights and training data move through a vendor’s supply chain, leaving your organisation exposed to subtle leakage.
AI
Training Data Leakage Explained: How AI Memorises Your Secrets
Generative models can regurgitate private data from their training sets, turning public interfaces into accidental disclosure channels for sensitive information.
AI
AI-Generated Phishing: Risks and Protection for Small Businesses
Automated language models remove the human error from phishing, forcing small teams to rely on protocol enforcement rather than detection skills.
AI
AI Vendor Assessments: How to Audit Third-Party Model Risk
Most AI vendor assessments fail because they treat the model as a static product rather than a living system that changes with every update.
AI
Synthetic Media FAQs: Technical Reality vs Hype
Synthetic media relies on statistical probability rather than visual perfection, meaning detection often fails when the generation parameters are unknown.
AI
How AI Transparency Works: Models, Data and Limits
Transparency requires tracing every input and output stage, revealing where proprietary opacity hides systemic bias and data leakage risks.
AI
Machine Learning vs Deep Learning: Which Fits Your Security Stack
Determine whether your data volume and latency constraints require shallow algorithms or deep neural networks for your security operations.