Arctic Wolf

Cyber risk is no longer just a technical issue, it’s a boardroom priority. On April 22 in London, Keith Nutburn, Account Executive, Incident Response at Arctic Wolf, will speak at the Zywave 2026 Cyber Risk Insights Conference on how cyber risk is shaping executive decision-making. 🔷 Cyber and the C-Suite: Who Buys and Why? explores how CISOs and insurance partners are approaching cyber insurance, its role in business continuity, and how the market must evolve to address the real operational, financial, and human impact of today’s threat landscape. If you’re attending, don’t miss this important discussion on how organizations are aligning security, risk, and executive accountability. #CyberRiskLondon26

The next phase of AI in cybersecurity isn’t about who has the most powerful model. It’s about which platform can turn AI into trusted, operational outcomes in real-world environments. As frontier AI capabilities continue to accelerate, we’re seeing a widening gap between what models can do in theory and what they can reliably execute in practice. Without deep security context, validation, and operational guardrails, even the most advanced systems struggle to consistently separate signal from noise when it matters most. At the same time, adversaries are adopting AI to scale attacks with greater speed and sophistication, raising the bar for detection, investigation, and response. This is the challenge Arctic Wolf President, Technology & Services Dan Schiappa explores in our latest blog—and why Arctic Wolf is focused on applying AI through the Aurora® Superintelligence Platform and Aurora® Agentic SOC, where intelligence is continuously enriched by real-world SOC expertise to deliver accuracy, consistency, and trust at scale. Read more: https://lnkd.in/gJcdQkE4 #AHigherStandard #AgenticAI

🐺 RSAC 2026 marked a clear inflection point for the cybersecurity industry: the conversation is no longer about AI potential, but about agentic AI in production and the real operational value it can deliver. Organizations are moving beyond experimentation and into deployment, where AI is expected to actively support security operations at scale. The focus is increasingly on agentic systems that can execute defined workflows, assist analysts in real time, and improve speed and consistency in decision-making—while still operating within the boundaries of trust, transparency, and human oversight. At Arctic Wolf, we introduced the Aurora® Superintelligence Platform and the Aurora® Agentic SOC, advancing our vision for agentic AI that delivers measurable operational value grounded in trust, expert insight, and decades of security operations experience. Read the full recap: https://lnkd.in/gazqEfKy #AHigherStandard #AgenticAI

AI in cybersecurity only matters if it delivers real outcomes. In a new CRN interview, Arctic Wolf President and CEO Nick Schneider explains how the Aurora® Agentic SOC is turning agentic AI into measurable results at scale. Built on the Aurora® Superintelligence Platform, it is already processing more than 10 trillion security events per week using a proprietary knowledge graph, a swarm of AI agents, and an AI plus human validation model to ensure accuracy and trust. The impact is clear. Customers and partners gain faster, more efficient, and more effective security outcomes without added complexity, while human experts remain in the loop for oversight and critical decisions. For MSPs and the channel, this makes advanced AI-driven security accessible without needing to build it themselves. Read more: https://lnkd.in/g4DUvqji #AHigherStandard #AgenticAI

For threat actors, AI is set to stop being a novelty, and start being an essential utility. Learn the major ways we expect that threat actors to leverage this technology in the Arctic Wolf 2026 Threat Report, which is packed with countless insights into the ways the threat landscape changed in 2025, and the ways it set to evolve in 2026. 👉 https://ow.ly/ZhWZ50Yoiye

#ICYMI: New research from Arctic Wolf Labs examines the rapid evolution of AI-assisted malware and its growing role in the modern threat landscape. Our latest threat intelligence blog analyzes a rolling window from February 2025 to February 2026 and identifies more than 22,000 distinct files triggering AI-focused YARA rules across malware repositories. These samples include AI-generated code, LLM-style scaffolding, runtime API integrations, and DeepSeek-derived artifacts. Key findings include: 🔹 AI-assisted malware has moved from experimentation to a routine part of attacker workflows 🔹 39% of samples were not detected by signature-based antivirus solutions at the time of collection 🔹 Only 1.4% of samples were associated with known threat actors or financially motivated groups 🔹 The majority of observed activity appears to originate from unknown or lower-skill actors These findings reinforce a critical reality. AI is accelerating the development and proliferation of malware, while increasing the volume of structurally new threats. The full analysis and implications for defenders are available in the blog. Learn more: https://lnkd.in/eEx5ex8S

F5 has updated the severity of a vulnerability impacting BIG-IP APM that was disclosed in October (CVE-2025-53521), elevating it from a medium-risk denial-of-service issue to a critical remote code execution vulnerability.  F5 has also stated that this vulnerability is being exploited in the wild to deploy web shells on unpatched instances. Organizations running BIG-IP APM are strongly encouraged to review the latest Arctic Wolf Security Bulletin and apply the available patches: https://lnkd.in/gCa9hXCV

The widely used Axios npm package was briefly compromised in a supply chain attack in the early hours of March 31, 2026 (UTC). • Threat actors published malicious versions (1.14.1 and 0.30.4) that introduced a hidden dependency delivering a remote access trojan (RAT) • Users who installed the package during this window are at risk of downstream compromise Due to the widespread use of the Axios npm package in enterprise environments, all organizations are strongly recommended to review our latest security bulletin: https://lnkd.in/g2yweDRE

🐺 The "Claude Mythos" leak is a reminder that in the AI era, capability and outcomes are not the same, and confusing the two creates real risk. Frontier models are advancing quickly in identifying vulnerabilities and reasoning through exploit paths. But raw model intelligence doesn’t translate to operational accuracy. Without deep, customer-specific context, even the most powerful AI can’t reliably determine what actually matters in a live environment. At the same time, attacker capabilities are scaling at machine speed, shifting the threat landscape from opportunistic to industrialized. The challenge isn’t just finding risk. It’s doing so with precision, consistency, and confidence in real time. This is exactly why we built the Aurora® Superintelligence Platform and Aurora® Agentic SOC, to apply AI with context, accuracy, and human expertise by design, delivering real outcomes instead of just outputs. Cybersecurity advantages won’t come from access to the most powerful models. They will come from applying AI with accuracy in real-world environments. Read more: https://lnkd.in/gJcdQkE4 #AHigherStandard #EndCyberRisk

In this CRN roundup from #RSAC2026, Arctic Wolf CEO and President Nick Schneider shares a grounded perspective on where agents are delivering value today, and where caution is still required. The industry is still learning what can and should be automated. The balance between automation and oversight will define the next phase of AI adoption in cybersecurity. It’s not about removing humans from the loop. It’s about applying AI where it can drive speed and scale, while ensuring the right decisions are made when it matters most. Read more: https://lnkd.in/gDVrCdHS #AHigherStandard