Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Technology Companies Are Investing in Drone App Development

The global drone market is expanding at an impressive pace, driven by advances in automation, artificial intelligence, cloud computing, and connectivity. While drone hardware continues to evolve, software has become the primary factor that determines how effectively organizations can leverage these technologies. Companies working with companies, such as Wezom, on custom drone app development projects are discovering new ways to automate operations, improve data visibility, and create scalable digital ecosystems that support long-term growth.

How to Validate Policy-as-Code Without Breaking Builds (Even When AI Writes the Code)

Picture two realities for the same compliance control reaching production. Reality One: Your AppSec team writes a new rule. An engineer uses Claude Code or Cursor to generate the OPA (Open Policy Agent) Rego policy in minutes. They deploy it. It blocks a legitimate release on a missing context variable, and the on-call engineer routes around the gate to ship the code. The AI gave them fast code — but not code they could trust.

Zero Trust in SaaS Development: Architecting Multi-Tenant Systems for Compliance

In a multi-tenant SaaS environment, perimeter defense is a dangerous illusion. If a threat actor gets through the outer wall or a developer makes one routing mistake, every tenant's data is at risk. Application logic alone is not enough to separate tenant data. A single misconfigured query or a SQL injection attack can expose data that was never meant to be seen. In regulated industries like FinTech and Healthcare, that kind of exposure hurts your customers and triggers audits, fines, and investigations.

Top AI App Maker Platforms for Startups and Small Businesses

Building a software application used to require a full development team, a serious budget, and months of work. For most startups and small businesses, that was simply out of reach. But things have changed dramatically over the past few years. Today, an AI app maker can help almost anyone turn an idea into a working product without writing a single line of code.

Code is being written everywhere, and the device is the only constant

This post is based on Mackenzie's conversation with James Hawkins on The Secure Disclosure podcast. Listen to the full episode or watch below. PostHog's engineering team is merging roughly as many pull requests through Slack as through their code editor. As James Hawkins, co-founder and co-CEO of PostHog, explains on the podcast, the shift towards dispersed coding interfaces is underway. "Why are code editors all desktop apps right now? That's a relic of the past.

Our AI Agent Now Has a Security Conscience: Introducing the JFrog Plugin for Claude Code

AI coding agents are changing the pace of software development. With tools like Claude Code, developers can move from idea to implementation faster than ever, generating code, exploring unfamiliar repositories, refactoring services, and turning plain-language intent into working software. That speed is powerful. But speed without governance = risk. It also creates a new challenge: how can you govern what an AI agent builds, suggests, and pulls in from the internet?

Where Appknox Fits Into the Mobile App Development Tech Stack

Your stack has a SAST. A DAST. An SCA. A SIEM. And probably seven more tools your developers have quietly stopped reading alerts from. None of them were built for mobile. That's not a criticism. It's a fact about what those tools were designed to do. They were built for web applications, network infrastructure, and cloud environments, which were the priorities of a different era. Mobile apps came later. And the security tooling never fully caught up.

Type Level Security: The future of secure AI code generation?

With code being written (& generated) faster than ever before, there is the unfortunate side effect that security vulnerabilities are also coming faster than ever before. Asking your LLM not to include security vulnerabilities in its code doesn't always work. It is becoming clear that the way software is built today, manually or with assistance, is insufficient when it comes to reliably, consistently, and provably writing secure code.

The New Security Risks of the Agentic Development Lifecycle

For years, application security ran on a simple assumption: software moves through a lifecycle, and security inspects the artifacts as they travel from development to production. Developers plan, write code, commit it, test it, scan it, and ship it. Every control built, including pull request reviews, CI/CD gates, and post-commit scanning, assumed a human was sitting between each step, making decisions a tool could later check.

Top 6 Custom Software and AI Development Companies in 2026

Custom software in 2026 is no longer separate from AI. Companies now need products that combine strong engineering with practical AI features, from LLM-powered workflows and automation to machine learning, AI agents, and data-driven decision systems. This guide reviews the top custom software and AI development companies in 2026, focusing on firms with real case studies, proven delivery, and the ability to build production-ready solutions instead of surface-level AI demos.