In July 2025, someone registered a domain that used to belong to a content delivery network.  The CDN had been wound down years earlier, and the domain it served assets from was allowed to expire. What it had not lost were its callers. Thousands of websites, code repositories, and documentation pages still carry hard-coded references to hostnames beneath it.  The new owner holds

A new CVE drops. Your scanner finds it. The severity score looks ugly. But that still does not answer the question that matters: Can it actually be exploited in your environment? Mythos-class AI is compressing the time between disclosure and working exploitation, while many security programs still validate risk on weekly or quarterly cycles. The dangerous gap is no longer just technical. It is

Attackers now weaponize new vulnerabilities in about five days (Mandiant, part of Google Cloud). The median organization takes 43 days to patch one (Verizon DBIR 2026). A new free guide explains how autonomous AI agents are closing that gap, and what security leaders must demand before pointing one at production. TL;DR Exploitation is now the front door. It starts 31% of breaches (Verizon DBIR

N0va is targeting organizations across North America and Europe with phishing campaigns that impersonate trusted services and abuse legitimate authentication flows. Successful attacks can give threat actors access to valid accounts without relying on obvious malware activity. From there, a single compromised identity can open the door to sensitive data, business systems, and additional cloud

A leaked credential shows up in a criminal marketplace, or a vulnerability gets a disclosure advisory, and either one can be weaponized against a real target before most security teams have triaged the alert. Attackers are combining that kind of intelligence with AI-assisted exploitation to accelerate the path from exposure to breach faster than most security programs are built to react.

Introduction Security teams have gotten pretty good at testing against what can hurt them. Can this EDR agent catch this payload? Will my organization fail the phishing simulation? Does this SIEM rule fire on this particular technique? And, in more mature organizations, this testing happens continuously rather than as a one-off exercise. But no matter how much you validate against these

An RMM phishing campaign initially associated with Canadian targeting due to its use of Canada Revenue Agency (CRA) tax forms as lures has turned out to be part of a broader campaign spanning 46 countries. Around 45% of observed activity was associated with the United States, making it the campaign's top geographic target. ANY.RUN research connected 601 cases to the wider operation, which uses

In early August, GitGuardian researchers found that a recent Shai-Hulud infostealer worm variant had evolved to scan for credentials across 469 locations across developer environments, Continuous Integration/Continuous Deployment (CI/CD) tooling, cloud configurations, and even AI tool configs. Earlier variants of the infostealer worm only checked 189 paths. The jump says a lot. Attackers have

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Wednesday added seven security flaws to its Known Exploited Vulnerabilities (KEV) catalog after they landed in attackers' crosshairs. The vulnerabilities are as follows - CVE-2026-83548 (CVSS score: 10.0) - A server-side request forgery vulnerability in SonicWall SMA 1000 Appliances that could allow a remote unauthenticated

Cybersecurity researchers have disclosed details of a new Android banking trojan called StreamRat that was promoted to Spanish-speaking users through a fake television-streaming campaign on Meta and can give operators near-complete control of infected devices. ThreatFabric said the campaign's advertisement focused on Spain and reached an estimated 570,950 Meta accounts in the European Union

The debate about whether AI delivers business value is over. The challenge now is implementing it at scale and securely across every function while meeting board-level pressure to move fast. Organizations must focus on adopting AI at business speed without losing control of cyber risk. Download the full eBook here.  The Business Reality  In Sygnia’s 2026 CISO Survey Report, which

The most common way into a company last year was to ask. A web page tells the visitor to prove they are not a robot. While they read the instructions, it quietly places a command on their clipboard. Then it talks them through opening a terminal and pasting it in. The technique is called ClickFix, and it was the most common initial access method Microsoft’s team observed last year, accounting

Claude Code reads files, runs shell commands, invokes MCP tools, and acts through the credentials available on a developer’s machine. Anthropic’s new Compliance API endpoints give security teams their clearest view yet into that activity. They also expose a larger problem: activity logs alone cannot tell you whether an agent’s access is legitimate. AI has moved from the browser tab to the

An Identity Fabric knits fragmented identity systems into a coherent layer that observes how identities behave across applications, APIs, and infrastructure. As enterprise access spans more cloud services and automated workloads, identity security depends less on static configuration and more on runtime visibility. This article covers the architecture, the risks of unmanaged identities, and

Security teams have spent years trying to detect threats faster. AI is changing the harder part: how much time defenders have left to act. Advanced AI models can now help attackers discover vulnerabilities, generate exploit code, and move through weaknesses faster than traditional security processes were built to handle. The challenge is no longer just finding another vulnerability or

AI is officially mainstream in security operations. According to Prophet Security's State of AI in Security Operations 2026 report (produced from ViB’s survey of 250+ cybersecurity pros), 40% of security teams now use AI daily. Another 56% are currently testing it out, and only 4% have no plans to adopt it. For the teams already using AI, what is actually changing? Here are the ten biggest

The SOC we've always known was built around a model that guarantees most of the alert queue will never receive analyst review. There's never time. In a traditional SOC, the typical progression follows a well-known pattern: an alert arrives; a detection engine assigns a severity score. The issue then waits for a human to decide if it should escalate to an investigation. Given the volume of

Thousands of companies have been affected by the Mirage2FA campaign from 2024 to 2026. The commercial phishing-as-a-service toolkit targets Microsoft 365 accounts by abusing legitimate login flows and bypassing two-factor authentication. According to ANY.RUN research, 48% of targeted email addresses were potentially compromised. Most of the affected companies are US-based. Mirage2FA Campaign

Vulnerability management has been a staple of security programs since the dawn of the cybersecurity discipline. The symbiotic relationship between vulnerability and patch management teams has also existed for that time and has gone through waves of contention and thankfulness. While this relationship required thoughtful care and feeding from both sides, both sides were aiming to work toward a

If your developers are using AI coding tools, you are probably already seeing the upside: faster development, more code, and less time spent on routine work. The harder part is what comes after. AI can also introduce open-source packages at a pace your security team was never built to handle. More dependencies mean more vulnerabilities to review, more remediation work, and a backlog that can