Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI coding assistants are quietly resurrecting millions of abandoned open source packages. For the last decade, developers relied on a simple heuristic for open source security: Prevalence \= Trust. If a package was downloaded millions of times a week (lodash, react, requests), we assumed it was "safe enough" because thousands of eyes were on it. If it was obscure, we approached with caution.

Sr. Technical Content Strategist Most ticketing tools SecOps teams use today were never built for security. Jira, ServiceNow, PagerDuty are all capable platforms but ultimately adapted for a purpose outside of their design. The result is brittle workflows, manual overhead, and systems that require constant care to stay aligned with the natural flow of detection and response. LimaCharlie Ticketing fills that gap.

Pharmaceutical regulation relies on three core pillars: Maximum system availability, trustworthy data and rapid recoverability. With the right strategy, manufacturers can uphold them all. Operational technology (OT) systems such as SCADA, manufacturing execution systems, cleanroom controls, environmental monitors and laboratory automation are essential for maintaining validated, compliant and uninterrupted production. When those systems fail, downtime can result in enormous financial costs.

When security leaders talk about risk, the conversation usually drifts toward ransomware gangs, zero-day exploits, or state-sponsored actors. Fair enough. Those threats are loud and visible. Yet many of the most damaging breaches begin somewhere quieter. Inside the organization. An employee exporting a customer database before resigning. A contractor reusing credentials across systems. A system administrator with broad privileges and very little oversight.

Data isn’t a byproduct of business — it’s the heartbeat of your operations. But while most organizations are busy guarding the gates with traditional cybersecurity, they often overlook the most unpredictable variable of all: human behavior.