Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Context Engineering Is Security Engineering. RSA 2026 Made the Case.

Cisco polled its major enterprise customers before RSA 2026 and found something astounding. 85% of large enterprises are experimenting with AI agents. Only 5% have moved them into production. That's not a technology gap. The models work. The tools exist. The 80-point spread between experimentation and production is a governance gap. It's also a context gap.

AI Application Security: 6 Focus Areas and Critical Best Practices

AI application security protects AI-powered apps, including those powered by large language models ( LLMs), from unique threats like prompt injection, data poisoning, and model theft. It achieves this by securing the entire lifecycle, including code, data, algorithms, and APIs, using specialized tools and processes that go beyond traditional security measures. It involves securing the AI model’s behavior, training data, and outputs.

4 steps teams can take to mitigate Iranian cyberattacks on critical infrastructure

COMMENTARY: When the United States and Israel launched coordinated strikes against Iran on February 28, the security community mobilized around the visible response. I’ve watched that response for two weeks: teams tracking hacktivist DDoS campaigns, incident counts climbing, news coverage following close behind.

Flutter App Security Testing: Why most tools fail and what actually works

Most mobile security workflows end in a familiar way. A scan runs, a report is generated, and the output looks reassuring. There are no critical issues, maybe a few medium findings, nothing that blocks a release. The process completes, the team moves forward, and the app ships. At that moment, the assumption is clear. The app has been tested. The risk is understood. But there is a question that rarely gets asked, and it changes the entire conversation.

Secure Coding Techniques that Is Critical for Modern Applications

Let's be honest: software ships faster today than most security teams can comfortably keep up with. Microservices, sprawling APIs, cloud-native deployments, and AI-assisted code generation have accelerated development at an unprecedented pace. But buried within that speed are small, overlooked coding mistakes that quietly open the door to serious breaches.

How to save X and Twitter videos offline before your next flight with an X downloader

You found the perfect travel vlog thread on X last night. Thirty seconds of a hidden beach, a street food tour filmed in 4K, a local musician jamming under a bridge. Your flight boards in an hour, and airport Wi-Fi just dropped. That content might still be there when you land, or it might not. An X downloader like sssTwitter lets you grab those posts as mp4 or mp3 files while you still have signal, so your phone becomes its own offline library before the cabin door closes.

What major cyberattacks reveal about the cost of slow recovery

Cyberattacks often succeed not because they are sophisticated but because organizations lack reliable backups or struggle to restore data quickly. When recovery is slow, even minor disruptions can escalate, providing attackers with the time and leverage they need to deploy ransomware and halt operations. When systems go down, every minute of downtime results in operational disruption, a drop in revenue, and lost customer trust.

Why This AWS Move Matters

Over the past year, I have spent a lot of time with security leaders who are trying to navigate the same tension. They know their operations need to move faster. They know the volume, speed, and complexity of what lands in the SOC are not going to ease up. But they are also trying to make smart decisions in environments where trust matters, governance matters, and the cost of getting it wrong is real.