AI security for enterprise agents: A testing guide
The riskiest part of an AI agent is not the model. It is the authority wrapped around it. An agent...
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Automating PCI DSS Mapping with AI for Compliance
Most security teams don't struggle with understanding PCI DSS.
How to Calculate the Real Cost of AppSec
Application security is not about buying scanners or passing audits anymore. Nowadays, companies have to think about how much it...
MCP Security: Harnessing the Model Context Protocol Safely
AI-assisted software development is changing fast. It is moving from helping with coding to fully automated engineering workflows.
Overcoming OAuth 2.0 and PKCE Blocks in DAST Scanning
A few years ago, getting a DAST scanner authenticated into an application was relatively straightforward. Security teams would provide a...
Building a Security Data Lake for Centralized Intelligence
Modern cybersecurity environments have much data that is not connected. Every API request, workflow, cloud workload, CI/CD pipeline, AppSec scan,...
OWASP LLM Top 10: Practical Examples And How DAST Helps
The OWASP Top 10 Has Historically Shaped How Organizations Think About Application Security.
MCP Security Testing Checklist for Engineering Teams
MCP (Model Context Protocol) servers are quickly becoming the execution layer behind modern AI systems. Instead of Large Language Models...
API Security Testing Playbooks for LLM Backed Apps
APIs have always been critical to modern applications, but in LLM-powered systems, they have become far more than integration points....
