Threat Detection

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 […]

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 […]

Static analysis tools scan your code before deployment. Vulnerability scanners check your dependencies against CVE databases. Perimeter firewalls inspect incoming HTTP traffic. All of these are valuable, and all of them share the same blind spot: none of them can tell you what is actually happening inside your application right now. Runtime threat detection fills […]

Most security teams face the same dilemma: deploy a WAF to protect the perimeter, add RASP for deeper runtime visibility, or somehow juggle both. Every guide online walks you through the same comparison and arrives at the same conclusion: “use both together.” But that framing might be wrong entirely. This article covers how WAF and […]