Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

From Shadow APIs to Shadow AI: How the API Threat Model Is Expanding Faster Than Most Defenses

The shadow technology problem is getting worse. Over the past few years, organizations have scaled microservices, cloud-native apps, and partner integrations faster than corporate governance models could keep up, resulting in undocumented or shadow APIs. We’re now seeing this pattern all over again with AI systems. And, even worse, AI introduces non-deterministic behavior, autonomous actions, and machine-to-machine decision-making. Put simply, shadow AI is much, much riskier than shadow APIs.

How Cloud-Native Applications Defend Against DDoS Attacks

As organizations migrate critical applications to the cloud, cloud-based DDoS attacks and defenses have become a growing concern amid the increasing number of cyber threats. Unlike traditional threats, these attacks are increasingly targeted, sophisticated, and capable of disrupting services in ways that can impact entire business operations and business continuity.

Why Confusing ChatGPT and LLMs as the Same Thing Creates Security Blind Spots

When news broke that the Head of CISA uploaded sensitive data to ChatGPT, the response was predictable: panic, headlines, and renewed questions about AI safety. But this incident reveals more about confusion than actual risk. The real issue? Most organizations don’t understand what they’re actually risking when they use AI tools. Let’s fix that.

Why Every Website Needs a Reliable URL Checker

Links are the connective tissue of the web. They guide users to content, help search engines understand structure and distribute authority across pages. When links fail, everything from user trust to search visibility can suffer. This is where a URL checker becomes essential. A URL checker is more than a quick "does this page load?" tool. At its most basic level, it confirms whether a URL resolves successfully. At a deeper level, it reveals status codes, redirect chains, DNS issues and server errors that aren't obvious from simply clicking a link.

The best risk management software for 2026

For many organizations, risk management is still stuck in the past—reliant on spreadsheets, manual reviews, and static registers that go stale shortly after they’re created. Without clear ownership or automation, treatment plans linger, and accountability slips. Risks remain fragmented across departments, disconnected from business impact and board visibility. ‍ At the same time, emerging threats are evolving faster than ever.

How to Implement Separate B2B and B2C Login & Onboarding in Shopify

Shopify stores are evolving beyond simple retail operations. What once was a primarily consumer-focused platform is now powering complex B2B experiences with tiered pricing, customer groups, and negotiated catalogs catering multiple B2B vendors and companies. However, as stores diversify their audiences, authentication becomes a critical pain point. A login flow designed for retail customers might be fast and convenient.

Data Governance Policy: 9 Fundamental Components

In 2026, you’re not just managing clusters and pipelines; you are managing the risk associated with the data flowing through them. As environments become decentralized and agentic, traditional, static data governance policies have morphed from inefficient to a security liability. The financial stakes of data governance failures have reached an all-time high. The average cost of a data breach in the United States has reached $10.22 million.

A Match Made in Heaven: How Valentine's Day Fuels Seasonal Phishing Attacks

Valentine’s Day runs on emotion. Surprise, urgency, curiosity, trust, love. For threat actors, that combination is hard to beat. Every year in mid-February, security teams see the same pattern. Phishing campaigns pick up. Brand impersonation increases. Fraud attempts follow close behind. It is not because attackers suddenly developed new techniques.

12 Critical Shadow AI Security Risks Your Organization Needs to Monitor in 2026

What data are your employees feeding into unapproved AI tools? If you can't answer that question, then you might have shadow AI security risks that you don't know about. The Netwrix Cybersecurity Trends Report 2025 found that 37% of organizations have already had to adjust their security strategies due to AI-driven threats, while 30% haven't started AI implementation at all. That gap between how fast AI threats are evolving and how slowly organizations are responding is where shadow AI thrives.

Teams sprawl: Managing Microsoft Teams proliferation

Teams sprawl is one of the most overlooked security risks in Microsoft 365 environments. When all your employees can create teams on demand, without approval, naming conventions, or expiration policies, the result is hundreds of ungoverned workspaces with no clear ownership, inconsistent naming, and scattered data. That governance gap creates measurable risk.