Catch a dangerous agent skill before an agent ever runs it: review it automatically, block it in CI if it fails, and only let your agent load skills that passed.
In this article, I will be introducing a pipeline designed to identify sensitive data columns before masking steps and improve the efficiency of the data masking process.
A zero-trust framework for cloud migrations, grounded in real enterprise deployment lessons. Perimeter security doesn't hold up once workloads move to the cloud.
Learn how to build realistic JMeter load tests with production traffic patterns, distributed testing, session modeling, and security performance analysis.
Why enterprise AI agents fail on production data, and a runtime governance pattern using data contracts, lineage signals, and guardrails to prevent it.
Loop engineering makes agents act repeatedly. Security decides which inputs, credentials, memories, evaluators, and triggers are allowed to influence action.
Trust Surface framework for measuring risks from trusted identities, credentials, AI agents, and third-party integrations beyond the traditional attack surface.
Learn how production AI agents use tool contracts, authorization scopes, audit trails, and risk-based human approval to safely take autonomous actions.
Learn how to secure Spring Boot REST APIs with JWT validation, method-level authorization, input validation, rate limiting, CORS, secure logging, and more.
Secure MCP servers against prompt injection, data leaks, and denial-of-wallet with four practical, OWASP-aligned gates from code to production. Runnable code.
The latest MCP updates introduce security risks like protocol confusion. Quarkus mitigates these vectors using strict request filtering and enterprise security layers.
Root searches are cached and easy to access. Filtering forces requests to hit the backend database directly, triggering stricter anti-bot checks that block basic proxies.