Lead Analysts: Jeewan Singh Jalal, Prabhakaran Ravichandhiran and Anand Bodke KnowBe4 Threat Labs has detected a sophisticated phishing campaign targeting North American businesses and professionals. This attack compromises Microsoft 365 accounts (Outlook, Teams, OneDrive) by abusing the OAuth 2.0 Device Authorization Grant flow, bypassing strong passwords and Multi-Factor Authentication (MFA).

As we embed AI agents into our lives and workflows, we’re learning the (sometimes surprising) ways in which they outperform human beings, and other ways in which they fall short. And occasionally, we find an example where agents, paradoxically, are both better and worse than their human users.

Researchers at Okta warn that a series of phishing kits have emerged that are designed to help threat actors launch sophisticated voice phishing (vishing) attacks that can bypass multifactor authentication. “The most critical of these features are client-side scripts that allow threat actors to control the authentication flow in the browser of a targeted user in real-time while they deliver verbal instructions or respond to verbal feedback from the targeted user,” Okta says.

In a content collaboration and governance market that often gets swept up in hype, it’s refreshing when an analyst focuses on what actually works.

Exposure management has outgrown visibility. With 67M+ findings per year, the real challenge is execution at scale. The 2026 Exposure Action Report shows that risk clusters in predictable places, most exposure is operational (not novel), and meaningful risk reduction comes from consolidation, prioritization, and disciplined remediation workflows — not adding more tools.

Today, the government of Canada issued a statement announcing that Arctic Wolf will continue to co-chair the Counter Ransomware Initiative Public-Private Sector Advisory Panel in 2026, alongside Public Safety Canada and BlackBerry. The panel will also include member organizations such as Ensign InfoSecurity, the Institute for Security and Technology, Microsoft, Palo Alto Networks, and the Royal United Service Institute.

For many organizations, risk management is still stuck in the past—reliant on spreadsheets, manual reviews, and static registers that go stale shortly after they’re created. Without clear ownership or automation, treatment plans linger, and accountability slips. Risks remain fragmented across departments, disconnected from business impact and board visibility. ‍ At the same time, emerging threats are evolving faster than ever.

IIf you’re using AI to generate code, you’re likely moving faster than ever. You’ve probably felt that surge of productivity when a complex logic problem gets solved in seconds or boilerplate code appears instantly. But here is the problem: speed without guardrails creates security debt, and with AI, that debt accumulates at a terrifying rate. Recent data paints a concerning picture.