Runtime AI security insights — page 2

You’ve enforced HTTPS. You’re using parameterized queries everywhere. Input validation is tight. Your dependency scanner runs on every PR. By any reasonable checklist, your .NET application is secure. Then someone decompiles your assembly with ILSpy, finds a hardcoded token you missed, and leverages it against your production API. Or an attacker sends a carefully crafted […]

Every application that integrates an LLM is now a potential attack surface. Unlike SQL injection or XSS, prompt injection can’t be fixed with a parameterized query or an output encoder. The LLM processes system instructions and user input as a single undifferentiated text stream. There is no type boundary, no syntax separator, no technical wall […]

AI is reshaping both sides of cybersecurity. Attackers use it to scan for vulnerabilities in minutes, craft targeted phishing campaigns at scale, and execute autonomous intrusions that move faster than any human analyst can track. Defenders use it to process millions of signals per second, detect behavioral anomalies, and respond to threats before they escalate […]

The global web application firewall market is worth over $6 billion and growing. Security teams spend months evaluating vendors, comparing rule sets, tuning anomaly scores, and finally deploying a WAF in front of their applications. Then a penetration tester shows up, spends forty minutes with a proxy tool, and walks through it. This is not […]

Most DevSecOps implementations follow a predictable pattern: SAST scans during the PR review, dependency checks run in CI, DAST fires against a staging environment before the release. The pipeline turns green, the build goes out, and the security team breathes a sigh of relief. Then, three weeks later, something gets exploited in production. Not because […]

Most DDoS protection guides stop at the network layer. Block the traffic before it reaches your servers, absorb the volumetric flood with a CDN, done. But Layer 7 DDoS attacks don’t work that way. They look like normal web traffic because, technically, they are. The requests complete the TCP handshake, follow HTTP correctly, and often […]

When you ship a mobile app, you’re distributing a binary to millions of devices you don’t control. Each one is a potential analysis target. Android APKs decompile in under five minutes with JADX. iOS IPA files are harder to work with, but Hopper Disassembler and Frida don’t care about your release build settings. Most “mobile […]

Containers changed how we ship software. The deployment model is cleaner, environments are consistent, and scaling became a solved problem for most teams. But containers didn’t change one thing: the applications inside them still have vulnerabilities, and attackers still try to exploit them. Most Docker security guides focus on hardening the container environment: running as […]

Bad bots account for 37% of all internet traffic, according to the Thales 2025 Bad Bot Report. Businesses worldwide lose an estimated $186 billion annually to bot-driven fraud, scraping, and automated attacks. Those numbers have been climbing every year, and the trajectory isn’t changing. The harder problem is that bot detection has never been more […]

Most application security content reads like a glossary. You get a name, a category, maybe an OWASP reference, and a paragraph explaining what the vulnerability is. That information is necessary but not sufficient. Knowing that SQL injection exists and understanding how an attacker actually exploits a search endpoint in production are two different things. This […]

Every guide about app shielding follows the same script: protect your mobile app from reverse engineering and tampering. Install an SDK that obfuscates your code and detects rooted devices. Ship it. That framing misses the bigger picture. If your code runs on a server processing API requests, on a Windows desktop handling financial data, or […]

Most application security tools work from the outside. Firewalls inspect traffic at the network edge. Static analyzers scan source code before deployment. Vulnerability scanners probe applications from the perspective of an attacker. All of these approaches share a blind spot: none of them can see what actually happens inside your application when it processes a […]