Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security infrastructure for building AI in SecOps

Some of the security industry is still cautiously evaluating its relationship with AI. They are weighing questions, sitting with uncertainty, and waiting for something to ease their concerns about trusting AI in production. This post isn't for that group. This is for AI tool developers already in motion. The ones who vibe-coded a log parser over a weekend, spun up local inference on dedicated hardware, or ran cross-model research pipelines across multiple data sources.

How to Integrate ITSM in Aurora Vulnerability Management for Better Visibility & Faster Remediation

See how Arctic Wolf Aurora Vulnerability Management turns risk visibility into remediation through seamless integrations with partners like ServiceNow and ConnectWise. This demo shows how automated ticketing, unified workflows, and prioritized findings help security and IT teams accelerate remediation without added workload.

The Howler Episode 30 - Will May, Chief Revenue Officer

This month, we sit down with Will May, our new Chief Revenue Officer. Take a listen to get to know Will, his leadership philosophy, how he's using AI in his every day, and so much more! Will brings more than 15 years of go-to-market leadership experience across high-growth software, cybersecurity, and cloud technology companies. He has built a strong reputation for helping organizations adopt innovative technologies—including AI-driven platforms—to improve operational efficiency, reduce complexity, and deliver measurable business value.

How to Gain Visibility and Reduce Exposure with Aurora Attack Surface Management

This demo will illustrate how Aurora Attack Surface Management builds a continuously updated attack surface inventory, correlates asset and exposure data from multiple sources, and identifies gaps in security controls. It enables prioritization and remediation verification so that organizations can focus on what matters most and effectively drive risk reduction.

How Aurora Vulnerability Management Unifies Visibility, Prioritization & Remediation

With Arctic Wolf Aurora Vulnerability Management, organizations can monitor their risk score, gain comprehensive visibility, prioritize vulnerabilities and remediate risks with options including patch management and ITSM integrations.

AI Security and Trust: Why SOC Teams Don't Trust AI

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo 92% of security leaders say something is actively reducing their trust in AI within the SOC. These aren’t skeptics, they’re people who have already adopted AI and believe in its ability to enhance security operations. We know from the 2026 AI SOC Leadership Report that AI is already widely adopted in the SOC, with 94% of organizations using it in some capacity.

From Threat Awareness to Proof: Closing the Exposure Validation Gap in the Modern SOC

For most organizations, answering these questions is slow, manual, and difficult to defend. Analysts must interpret threat reports, build SIEM queries, run retroactive searches, and validate findings under pressure. The result is delayed answers, inconsistent processes, and limited confidence at the executive level. This is the gap between threat awareness and proof of exposure. It is where operational risk and board-level scrutiny converge.