Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Dangling DNS in the AI Era: The Silent Attack Surface Expanding Beneath Your Feet

Artificial intelligence is accelerating digital transformation at an unprecedented pace. New AI-driven applications, copilots, data pipelines, APIs, and cloud services are spinning up faster than ever before. But while innovation moves at machine speed, governance often lags behind. The result? A rapidly expanding external attack surface filled with forgotten assets, abandoned cloud resources, and misconfigured DNS records — many of them quietly waiting to be hijacked.

Inside Modern API Attacks: What We Learn from the 2026 API ThreatStats Report

API security has been a growing concern for years. However, while it was always seen as important, it often came second to application security or hardening infrastructure. In 2025, the picture changed. Wallarm’s 2026 API ThreatStats Report revealed that APIs are now the primary attack surface for digital business, and not because bad actors discovered new zero-days, but because of compounding failures in identity, exposure, and abuse.

Trust in the age of AI for fintech auditors

There is an old saying: Trust, but verify. For Third-Party Risk Management auditors in regulated financial institutions, that principle has never been more relevant. Vendor questionnaires, SOC 2 reports, and annual reassessments are no longer enough. Regulators are moving beyond paper-based oversight and toward operational proof. The new expectation is clear: Show where customer data is actually flowing. Prove that you control it.

Turning Strategy into Proof: Why We Created the Industry PoV

by Darron Antill, CEO Device Authority Across the automotive and wider manufacturing industry, conversations around PKI and key management have moved from technical design discussions to board-level priorities. Regulatory frameworks such as UNECE WP.29, ISO 21434, and the emerging EU Cyber Resilience Act are fundamentally reshaping how OEMs and supply chain partners must think about cryptographic control.

Why reducing AI risk starts with treating agents as identities

As AI systems are used in our day-to-day operations, a central reality becomes unavoidable: AI doesn’t configure itself and must be set up with human approval and oversight. It requires engineers and developers to configure it. Developers need privileges to access and implement components, agents, tools, and features of the platforms. But developers don’t just have these privileges unconstrained… right? Where trust and privileges exist, someone will try to abuse them.

What is Cloud Security? Types, Risks, and Solutions

From customer data to proprietary applications and even employees, businesses have migrated massive amounts of critical information to cloud platforms led by AWS, Google Cloud, and Azure. But with over 100 billion terabytes of data on the cloud at the end of 2025, you can go from cloud9 to under the clouds in a matter of seconds.

Can You Trust AI Code? I Built a Scanner to Find Out

Can you trust the code AI generates? In this video, we build a custom AI Security Benchmarking tool to put models like Gemini, Mistral, and GLM 4.5 to the test. Using Windsurf, OpenRouter, and Snyk, we automate a pipeline that prompts multiple LLMs to write an application, then immediately scans the output for security vulnerabilities.

Is AI dangerous?

AI is everywhere—writing emails, creating videos, even cloning voices. But artificial intelligence also comes with real risks, including privacy concerns, deepfakes, and smarter online scams. Artificial intelligence learns by spotting patterns in massive amounts of data—and that power can be misused. AI tools may collect personal information, create realistic fake content, or help scammers craft messages that look completely legit.

Public Wi-Fi vs Secure Mobile Data: What Remote Workers Need to Know

You can work from almost anywhere today, cafés, airports, hotels, even park benches. Free public Wi-Fi makes it easy to jump online fast. But is it really safe? Many remote workers don't think about security until something goes wrong. One weak network can expose emails, client files, passwords, and payment details in minutes. On the other hand, secure mobile data offers more control and privacy-but may cost more. So which option should you trust with your work? In this guide, we'll break down the real risks, clear up common myths, and help you choose the safest connection for your remote setup.