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By Joshua Riccio
One of the most important shifts AI enables in detection engineering is changing where engineers spend their time. Traditionally, a significant portion of detection development effort is consumed by implementation details: writing complex SQL queries, building enrichment pipelines, handling edge cases, tuning rule logic, writing tests, documenting detections, and repeatedly iterating on detection logic. Those tasks are necessary, but they are also time-consuming.
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By Sean Phillips
Across every industry, one thing has become abundantly clear: Cloud security has never been more critical, nor more complex. Organizations are scaling cloud environments faster than ever, but the explosion of identities, configurations, and services has created an attack surface that traditional approaches simply can’t keep up with. Teams are drowning in alerts, struggling to identify which issues matter, and facing increasing pressure to respond to threats with limited resources.
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By Dan Schiappa
OpenAI recently introduced Daybreak, a cybersecurity initiative designed to apply frontier AI models to vulnerability discovery, secure code analysis, and earlier remediation across the software lifecycle. By combining advanced reasoning and planning capabilities, Daybreak aims to help organizations identify and address weaknesses before they reach production. This is a meaningful step forward, but it is also a continuation of a long-standing approach.
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By Arctic Wolf
Modern security environments generate enormous volumes of telemetry. Authentication events from identity platforms, API activity from cloud services, endpoint security logs, email interactions, and network traffic can all flow into centralized systems. For most organizations, the challenge is no longer data collection. The real problem is extracting meaningful insight from that data without overwhelming analysts or introducing operational friction.
Modern identity‑based attacks often rely on shared infrastructure and reusable attack frameworks, rather than bespoke tooling built for a single target. Phishing kits and phishing‑as‑a‑service (PhaaS) platforms are the clearest example of this model — and today they are the most prevalent sources of account compromise across organizations of all sizes. Device code phishing illustrates how quickly this model evolves.
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By Stephen McKay
Mobile devices are becoming the highest‑trusted endpoints that are the least protected. Phones sit between your people and your most important systems: identity, email, collaboration, and cloud apps. They’re also where modern social engineers are turning their attention, leveraging SMS and messaging services, QR codes, and email-based attack vectors to harvest credentials.
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By Dan Schiappa
Today, we’re introducing Aurora Exposure Management, a new product family at Arctic Wolf built to help organizations take a more complete and continuous approach to reducing cyber risk. The first two offerings are Aurora Vulnerability Management and Aurora Attack Surface Management. They are designed to work powerfully together, but they can also deliver meaningful value independently, depending on an organization’s priorities, existing architecture, and current stage of security maturity.
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By Arctic Wolf Labs
On May 6, 2026, Palo Alto Networks disclosed a critical buffer overflow vulnerability (CVE-2026-0300) in the User-ID Authentication Portal (Captive Portal) component of PAN-OS. This vulnerability allows an unauthenticated, remote attacker to execute arbitrary code with root privileges on affected PA-Series and VM-Series firewalls by sending specially crafted packets. No user interaction or credentials are required.
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By Arctic Wolf
The cybersecurity industry’s evolution from perimeter protection to holistic visibility, detection, and response is perhaps best illustrated in the evolution from endpoint protection platforms (EPP) to comprehensive security solutions that provide holistic protection for an organization’s ever-expanding attack surface, including network, cloud, and identity. Extended detection and response (XDR) is one of those solutions.
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By Dan Schiappa
Anthropic has officially launched Claude Security, moving its AI‑driven code vulnerability detection, validation, and patching capabilities from a limited research preview into public beta. Improving software security before code ships is a positive step for the industry and can help reduce future risk. However, stronger secure‑by‑design development does not address the scale of exposure organizations face today.
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By Arctic Wolf Networks
Powering modern security operations with AI is no longer optional. It’s essential. The Aurora Superintelligence Platform is built for the AI era, combining specialized AI agents, real-world security data, and human expertise to deliver outcomes security teams can trust. At its core, the Swarm of Experts, Security Operations Graph, and AI Trust Engine work together to drive faster detection, more accurate investigations, and more decisive response across the attack surface.
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By Arctic Wolf Networks
In this demo, we will look at three different use cases for the Aurora Security Assistant including general security knowledge, deeper ticket context and quick answers around self-service and product documentation.
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By Arctic Wolf Networks
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.
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By Arctic Wolf Networks
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.
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By Arctic Wolf Networks
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.
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By Arctic Wolf Networks
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.
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By Arctic Wolf Networks
This month, we sit down with Aaron Boynton, SVP of FP&A, as he shares one of his most memorable family vacations, why he considers AI the biggest thing to happen to Finance since Excel, and so much more!
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By Arctic Wolf Networks
Frontier AI models are accelerating the discovery of new vulnerabilities combined with the ability to exploit those weaknesses at speed and scale. This alone isn’t the problem. Trust in AI‑driven security outcomes is. With AI dominating headlines, security leaders are asking what models like Mythos or GPT‑5.4‑Cyber mean for their business. The real issue runs deeper. Teams need to be able to trust tools and technology that move at machine speed.
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By Arctic Wolf Networks
This month, we sit down with Tom Rogers, SVP of Revenue and Growth Marketing, as he shares how he encourages innovation and experimentation amongst his team, some amazing advice for senior leaders, and so much more!
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By Arctic Wolf Networks
This month, we sit down with Charlie Smith, SVP of Global Acquisition Sales Engineering, as she shares leadership advice he wished he'd learned earlier in his career, why he thinks sales engineering is a "hidden gem," and so much more!
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By Arctic Wolf
Security information and event management (SIEM), security orchestration, automation, and response (SOAR), and the newer extended detection and response (XDR) solutions have become the top choices for organizations wanting a unified view of activity within their IT environments. By combining relevant data into single consoles, XDR, SIEM and SOAR technologies minimize the time analysts spend moving between platforms and make it easier to correlate the data and develop subsequent steps appropriately.
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By Arctic Wolf
The Health Insurance Portability and Accountability Act (HIPAA) Security Rule focuses on the safeguarding of electronic protected health information (ePHI) through the implementation of administrative, physical, and technical safeguards.
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By Arctic Wolf
Financial institutions, particularly regional banks and credit unions, are facing challenges both in terms of safeguarding data of their customers and meeting data security compliance standards. Information technology (IT) teams in these institutions are stretched thin. They struggle with needing to meet compliance obligations while simultaneously combatting cyberthreats.
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Cybersecurity is a field that requires 24x7 vigilance and constant adaptation. Arctic Wolf’s cloud native platform and Concierge Security® Team delivers uniquely effective solutions.
The cybersecurity industry has an effectiveness problem. New technologies, vendors, and solutions emerge every year—yet, we still see headlines filled with high-profile breaches. Many attacks occur – not because a product failed to raise an alert – they fail because the alert was missed or was not actioned on. To prevent these attacks, the industry needs to adopt a new approach by focusing on security operations. That’s where Arctic Wolf can help.
Arctic Wolf® Platform
Spanning thousands of installations, the Arctic Wolf® Platform processes over 200 billion security events daily. The platform collects and enriches endpoint, network, and cloud telemetry, and then analyzes it with multiple detection engines. Machine learning and custom detection rules then deliver personalized protection for your organization.
While other products have limited visibility, the vendor-neutral Arctic Wolf® Platform enables broad visibility and works seamlessly with existing technology stacks, making it easy to adopt while eliminating blind spots and vendor lock-in.
Concierge Security® Team
Arctic Wolf invented the concept of Concierge Security®. With this delivery model, we pair a team of our security operations experts directly with your IT or security staff. Your Concierge Security® Team gives you 24×7 eyes-on-glass coverage. We work with your team on an ongoing basis to learn your security needs so that they can tune solutions for maximum effectiveness and ensure that your security posture gets stronger over time.
The Concierge Security® Team combines deep security operations expertise with an understanding of your environment to deliver better outcomes. We take on tactical actions like threat hunting and alert prioritization, and strategic tasks like security posture reviews and risk management.