Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How To Research a Cryptocurrency Before Jumping In

A brand-new token can go from unknown to trending in a single afternoon, and that speed is a big part of crypto's appeal. It's also why jumping in blind can sting. A little homework before you buy won't guarantee a win. It can, however, help you separate promising projects from hype that fizzles out by the weekend.

How to Keep a Game Server Safe From Crashes and Data Loss

Two years of building, gone in one afternoon. It happens to a group somewhere every week. Usually it starts small. A plugin updates badly. The power blinks during a save. Someone types a command they shouldn't. And the world file ends up half-written and unreadable. None of those things are rare. But almost all of them are survivable, if you set things up before they happen. Here's how.

How To Review A Device Photo As Image To 3D

Hardware writeups often have one photograph and a port the photo never turned toward the lens. A reviewer can describe that port from a datasheet, or they can ask a mesh to show the hidden side so a reader can turn it. That second path is what image to 3d is for when the source is a single clear device photo, and it is a starting mesh rather than a measured scan of the board.

What Business Email Compromise Really Costs You

Business email compromise can turn one convincing message into a six-figure loss, days of disruption and a difficult recovery effort. Criminals study how an organization communicates, then impersonate executives or trusted suppliers to redirect legitimate payments. The direct financial loss may be only the beginning. Legal advice, incident response, delayed projects and damaged supplier relationships all raise the final bill. Effective protection therefore depends on coordinated email security, payment controls and verification procedures.

Why AI Needs a Data Control Plane (Masking and Gateways Aren't Enough)

Your AI gateway and identity platform don’t decide whether a task can use a piece of enterprise data. In agentic AI, one request can trigger multiple agents, MCP servers, APIs, RAG systems, and LLMs, and each one is a separate security decision. This video explains why enterprise AI needs a runtime data control plane. It covers why identity alone can’t make the call, why masking PII isn’t enough when business context is sensitive, and how Protecto applies allow, mask, anonymize, rewrite, or selective reveal decisions across the AI workflow. It ends with a Fortune 100 multi-agent example.

Acronis Cyber Protect Cloud is now Acronis Cyber Platform

Until October 14, 2026, services providers have known Cyber Platform as Acronis Cyber Protect Cloud, whereas corporate customers have known Cyber Platform as Acronis Cyber Protect. To simplify partner, customer and user experience, Acronis offerings for both service providers and end-customers are renamed to Acronis Cyber Platform.

CISO Risk Intel Brief: Trusted Ingress, Edge Zero-Days, and AI-Generated Code Define Residual Risk

This briefing covers material developments for the seven-day period of 14–21 October 2026 and the thirty-day period of 21 September–21 October 2026. It is written for board risk committees, peer CISOs, and security leadership. The focus is residual risk, control effectiveness, and business enablement across application security, software supply chain, cloud and infrastructure, identity, third-party exposure, and AI-assisted development.

Smaller Models for Better Document Understanding

At Cyberhaven, we replaced our previous LLM-based approach to document understanding with a small model that makes 83% fewer decision errors at less than 1% of the inference cost. We achieved this by breaking complex tasks into simpler decisions, using uncertainty as a training signal, and heavily optimizing our inference stack. The model produces calibrated decision probabilities while preserving multimodal understanding and generative capabilities.

LiteLLM compromised again: infostealer and RAT found in version 1.107.0

On October 21, 2026, version 1.107.0 of LiteLLM (a popular open source proxy that lets developers route requests across dozens of LLM providers) was found to be compromised by an attacker who injected malicious code into its published Python wheels on PyPI. The official Docker image for the same version is also compromised.