Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Software release cycles are now too fast for traditional security tools. Rapid iterations and reliance on open-source and cloud-native tech increase vulnerabilities, challenging AppSec teams to keep up. Attackers are taking advantage, targeting applications and exploiting misconfigurations, excessive permissions, and vulnerable plug-ins.

Software release cycles are now too fast for traditional security tools. Rapid iterations and reliance on open-source and cloud-native tech increase vulnerabilities, challenging AppSec teams to keep up. Attackers are taking advantage, targeting applications and exploiting misconfigurations, excessive permissions, and vulnerable plug-ins.

AI agents don't think. They pattern-match. Critical to understand: Generative AI (ChatGPT, Claude, etc.) does NOT reason like humans. It: The API Security problem: When you give an AI agent access to an API, it will: AI agents can't reason. They recreate patterns based on weights. You need to be very careful: data in, data out. Practical example: text User: "Show me the account balance for user" AI agent → calls GET /api/account/123 API → returns { balance: 5000, name: "John", SSN: "123-45-6789" } AI agent → outputs EVERYTHING to user (including SSN!)

Learn how to create and manage Custom REST API endpoints in Drupal using the Custom API module. This step-by-step tutorial shows how to build APIs without writing complex backend code, using Drupal’s core REST and routing system. Comprehensive Documentation: Don't forget to subscribe to our channel and click on the bell icon to get notifications about new uploads.

The attack that no patch can fix Scenario:"Give me one million pizzas" API responds: "OK, one million pizzas at $0.01 each" Attacker: "Thanks!" What happened? API works exactly as designed Syntax is correct Protocol is followed WAF sees nothing wrong BUT the business logic intended: "Max 100 pizzas per order, at normal pricing".