Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Businesses face a constant battle: deliver applications fast or keep them secure? Discover how solutions bridge this gap, enabling rapid deployment without compromising risk management.

In the year 2079, vulnerabilities are endless and breaches are a daily reality. Jordan Kodak, a weary engineer, dreams of a world where developers can innovate without fear. She leaves Earth in search of Secura Prime—a legend of flawless code—and decades later receives a distress signal from a temporal anomaly. Meet Cipher, a sentinel from 2177, where secure coding finally took root. Armed with future knowledge, Jordan realizes the utopia she sought isn’t a place… it’s a practice.

AI didn't just speed up software development, it changed what application security programs must defend. As AI coding assistants generate code at machine speed and developers integrate AI agents, models, and RAG pipelines into production, traditional scanners generate endless backlogs of unprioritized alerts.

AppSec teams are frequently told that a lack of bandwidth is why vulnerability backlogs keep growing. In reality, the bottleneck is not team size, it is the lack of contextual prioritization and agentic triage. When traditional scanners hand security teams thousands of findings without reachability context, developer velocity stalls. In this webinar, Mend.io security experts unpack why bandwidth is not the real bottleneck in modern software security and show you how to streamline triage, automate remediation, and secure code at AI speed.

AI didn't just speed up software development, it fundamentally changed the application attack surface. Traditional security scanners produce endless backlogs of unprioritized findings, leaving security teams struggling to identify what actually matters before code hits production.