All articles
Network, security and architecture calls for going global
Securing APIs and Tool Calls in AI Agent Systems
Agents turn data access into autonomous action. Prompt injection, excessive permissions and emergent tool chains break classic API defences. This piece lays out least privilege, two-way validation and replayable audit trails.
Application SecurityHow to Protect AI Image Generation APIs from Abuse
Image generation endpoints are expensive and queue-sensitive; a few concurrent abusive requests can saturate your GPU queue. This guide shows how to rate limit by compute units rather than request count.
Application SecurityHow to Prevent API Abuse in AI SaaS
Abuse of AI SaaS APIs burns inference budget, wrecks concurrency and leaks data. This piece lays out the defence order that actually works: contract validation, strong identity, bot detection, then layered quotas.
Application SecurityManaging API Costs and Abnormal Traffic in AI SaaS
Cost lives in tokens and compute, not in request counts. The full control chain: cost-dimensional rate limiting, tiered quotas, anomaly detection, caching and budget circuit-breakers.
Application SecurityPreventing Automated Signups and Free-Tier Abuse in AI Apps
Automated signups and free-tier farming poison your user data and your inference bill at the same time. Six layers of defence, from credential reputation and device fingerprints to tiered quotas.
Application SecurityHow to Protect AI Video Platforms from Bots and Scrapers
Hotlinking, catalogue scraping and fake engagement drain CDN budget and poison recommendation data. This guide covers signed URLs, player endpoints, bot fingerprinting and CDN cost governance.
Application SecurityHow to Mitigate API Key Abuse and Unauthorized Access
A leaked API key is a credential incident, not a password incident. The response order that matters, and five bindings that make a stolen key worthless: origin, certificate, quota, contract and audit.
Application SecurityHow to Distinguish Legitimate Users from Malicious Bots
Bots are not automatically bad. Three layers of evidence — credential, environment and behaviour — plus a workable decision order and a graded response matrix for handling grey-zone traffic.