Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The window between an exploit being discovered and actively used is around eight hours. Curtis Koenig, Head of Application Security at Gen, explains why zero trust and a prepared incident response process remain the foundation for security teams navigating this new threat landscape. "The good news is that if the tool can find a vulnerability and create an exploit, it can find a vulnerability and write a patch as well.".

Attackers targeting open source dependencies already have all the code they need. Curtis Koenig, Head of Application Security at Gen, explains the fundamental asymmetry and why building quality fixes at speed is the real challenge for defenders. "An attacker can produce very fast, very ugly code that propagates through as an attack. When we're trying to fix something, the challenge we have is we're always trying to build for quality.".

AI agents are about to act as humans inside your organization. Curtis Koenig, Head of Application Security at Gen, explains why treating them with the same identity and data controls is the single most important step to get ahead of AI risk. "We're going to give these agents the capability to do things as though they were humans. If we are not treating them like we treat our other human users in our organizations, that's where we're creating risk.".

Learn how Arctic Wolf Superintelligence Platform and the Swarm of Experts work together to deliver faster, more accurate outcomes for customers by leveraging unmatched telemetry, deterministic models, our golden data set and human expertise.

In this demo, we will look at different use cases for the Aurora Security Assistant including the data explorer queries, organizational risk and vulnerability information, and quick answers around self-service and product documentation.

Point an AI model at a security stack it doesn't fully understand and you get confident, wrong answers faster. Reach gives your AI a source of truth for security controls. The MCP Server connects MCP-compatible AI tools directly to Reach. The Public API brings Reach findings and evidence into SIEM, ticketing, and GRC workflows. The MCP Server is intentionally read-only, so your team decides when recommendations become actions.