Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Direct Send: How Attackers Weaponize Your Infrastructure Against You

An employee at your company receives an email from hr@yourcompany.com. The domain matches. There is no warning banner. The message asks them to review a payment approval document. They click. That email was never sent by your HR team. An attacker sent it, and your own Microsoft email infrastructure delivered it, with no password and no credentials required.

Acronis denial-of-wallet protection: Managing runaway AI usage before costs spike

With most cyberattacks, the problem announces itself. A service goes down. A user cannot log in. An alert fires. Denial-of-wallet is different. The application keeps working normally while the cost of running it climbs in the background. That is what makes it a security problem and not only a budgeting one. The goal is not to take a system offline. It is to make the system do expensive work that nobody asked for.

The Largest and Most Notorious Cyber Attacks in History

The most damaging cyber attacks in history rarely involved exotic techniques. A graduate student's experimental worm, a password with no second factor, and an unpatched file transfer tool each caused more damage than any advanced exploit on record. Reading four decades of these incidents in order shows how consistently intruders take the simplest available route, and how little that route has changed since 1988.

Dissecting Attacks Is Only Valuable If It Informs Controls: What the Unit 42 agentic AI investigation should change in your control set, stage by stage.

The volume of published incident research involving agentic AI is increasing, and the analysis that follows each report tends to concentrate on the same attribute: speed. The recent investigation from Unit 42, the threat intelligence and incident response group at Palo Alto Networks, is a representative case.

5 ways to optimize AI costs and reduce wasted AI spend

The tokenmaxxing era has left companies grappling with an uncomfortable reality. Now that AI vendors have switched to usage-based billing models, businesses are facing sky-high bills, and IT and finance teams are under pressure to rein in spending without slowing down innovation.

The security attack that hid inside your observability data

How teams are leaving value on the table and what it costs when they do It's 3:00 a.m. Your on-call engineer gets paged that the central processing unit (CPU) is at 97% on payment-processor-01. They open their observability platform, look at the metric spike, reboot the host, and close the ticket.

Cybersecurity Leaders React to OpenAI's Hugging Face Breach UpGuard

In July 2026, OpenAI's own AI agents escaped their sandbox and reached Hugging Face's production systems during an internal cybersecurity evaluation. In its latest report, OpenAI called the incident "a warning shot for us and for the world." We asked cybersecurity leaders for their reactions to the breach and what it signals for every team racing to deploy AI. One detail stands out. Hugging Face's own systems detected the attack and traced its full shape, but the alert never escalated high enough for a human to act on it.

Sophisticated Attacks No Longer Require Sophisticated Attackers

For years, the sophistication of a cyberattack was closely connected to the sophistication of the attacker behind it. Advanced campaigns required experienced threat actors with the knowledge, resources, and time needed to research targets, understand environments, create convincing interactions, adapt when something failed, and coordinate complex operations. Artificial Intelligence is beginning to change that relationship.