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Prompt Injection Is Real, So I Built a Python Firewall for LLM Pipelines
LLMs are becoming part of everything. They read web pages, summarize PDFs, inspect emails, process customer tickets, call tools, write code, and sometimes even make decisions inside automated workflows. This article has been indexed from DZone Security Zone Read the…
Compliance Automated Standard Solution (COMPASS), Part 11: Compliance as Code, the OSCAL MCP Server Way
(Note: A list of links for all articles in this series can be found at the conclusion of this article.) In the previous installments of this series, we traced the arc from raw compliance intent — regulations such as NIST…
Building Threat Intelligence Pipelines Using Python, APIs, and Elasticsearch
Threat intelligence becomes operationally valuable when indicator data can be collected continuously, normalized into a consistent schema, and queried fast enough to support enrichment and detection workflows. Standardized exchange formats such as STIX and transport protocols such as TAXII exist…
Identity in Action
Switching from one single sign-on (SSO) vendor to another is a complex process that involves more than just changing technologies. This is a high-stakes identity operation that impacts security, user experience, following the rules, accessing applications, and keeping things running…
Compliance Automated Standard Solution (COMPASS), Part 10: How OSCAL Mapping Paves the Way for Continuous Compliance Scalability
(Note: A list of links for all articles in this series can be found at the conclusion of this article.) The Scalability Wall In previous posts of this COMPASS series, we demonstrated how OSCAL enables compliance-as-code from Catalogs through Component…
The Missing `bandit` for AI Agents: How I Built a Static Analyzer for Prompt Injection
If you’re building LLM agents with LangGraph or the OpenAI Agents SDK, your architecture might already be vulnerable — and no runtime tool will catch it before you ship. The Problem Nobody Is Talking About Everyone is building AI agents.…
5 AI Security Incidents That Broke Things in Production (and What They Have in Common)
Amazon’s internal coding tool deleted a live AWS environment. A consulting firm’s internal chatbot was fully compromised in two hours with no credentials. A calendar invite was enough to pull files off a developer’s machine without a single user click.…
Offline-First Patch Management for 10,000 Edge Nodes: A Practical Architecture That Scales
The Patch That Took Down Black Friday It wasn’t malware. It wasn’t a zero-day exploit. It was a routine patch cycle. The team had scheduled OS updates across 1,200 retail locations for the Tuesday before the busiest shopping week of…
Implementing Secure API Gateways for Microservices Architecture
Modern microservice architectures consist of many independently deployable services, which brings new security challenges. One crucial best practice is to use an API Gateway as a centralized entry point to enforce security policies. In this article, we explore how to…
5 Common Security Pitfalls in Serverless Architectures
Serverless architecture removes much of the overhead costs tied to infrastructure, but it shifts security responsibilities toward code and permissions. Instead of managing servers, developers must focus on how functions interact and what they trust. 1. Over-Privileged IAM Roles One…
Why Your DLP Policies Fall Short the Moment AI Agents Enter the Picture
I have been working in enterprise data security for a while now, and I have watched the threat landscape shift many times. Ransomware, phishing, insider threats, and cloud misconfigurations. Each wave brought new problems, and organizations learned, adapted, and invested.…
Detecting Advanced Persistent Threats Using Behavioral Analytics and Log Correlation
Advanced persistent threats are characterized by determined, well-resourced adversaries that pursue objectives over extended periods, adapt to defensive pressure, and work to maintain enough access to achieve mission goals. That definition carries a practical implication for detection engineering: isolated…
Stateless JWT Auth Microservice Architecture With Spring Boot 3 and Redis Sentinel
In this article, I will discuss a highly available solution developed using Spring Boot 3 and Spring Security 6 to address the “centralized authentication method” problem frequently seen in modern microservice ecosystems. We are not simply moving to an “authorization…
You Don’t Get to Retrofit Trust: Why API Security Must Be Designed In, Not Bolted On
There is a specific kind of silence that falls in a war room after a breach. I’ve been in two of them. Not as the person responsible, but as the journalist who got the call. The first was at a…
Architecting Zero-Trust AI Agents: How to Handle Data Safely
The transition from “Chatbots” to “Autonomous Agents” represents the most significant shift in enterprise software architecture since the move to the cloud. However, as we grant AI agents the ability to use tools, access databases, and execute code, we introduce…
Catching Data Perimeter Drift Before It Reaches Production
Cloud providers provide tools for customers to prevent data exfiltration attempts by creating a data perimeter — a set of permission guardrails that ensure that only trusted identities from expected networks can access trusted resources [1]. For example, a company…
The Hidden Cost of Overprivileged Tokens: Designing Messaging Platforms That Assume Compromise
Large messaging platforms rarely collapse because authentication is broken. They collapse because authorization quietly expands, then stays expanded. The failure mode is not a single bug but a system property: credentials that were created for one narrow purpose become reusable,…
A 5-Step SOC Guide That Meets RBI Expectations and Strengthens Security Operations
Financial institutions operate in one of the most regulated cybersecurity environments in the world. With increasing digital adoption, expanding attack surfaces, and sophisticated threat actors, the role of the Security Operations Center (SOC) has become central to meeting regulatory expectations…
Evaluating SOC Effectiveness Using Detection Coverage and Response Metrics
Security Operations Center evaluation often collapses into counting activity: alerts processed, cases closed, and tools deployed. Those numbers are easy to collect but frequently mislead because they blend workload, noise, and adversary pressure. A more defensible approach evaluates the SOC…