Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cloud storage feels like an ocean—vast, endless, and deeper than Everest is tall. While it feels like there is limitless space for your data, the reality is not so harmonious. It's truly a case of survival of the fittest. With the right policies and data protection practices in place, your data remains safe. If not, it could either be lost in the abyss as dark data or end up as the next meal of a great white.

Microsoft released patches for over 570 vulnerabilities in its July 2026 Patch Tuesday, the largest security update in the company’s history, including two zero-days already under active exploitation. Among them, one stands out for how it is being exploited right now: an unauthenticated vulnerability in SharePoint Server that allows an unauthenticated attacker to elevate privileges to Farm Administrator.

Running a vulnerability scan is the easy part. The hard part starts when your queue fills with duplicate findings, stale CVEs, and reports that don't tell you what's exposed in production. If you're trying to build a practical vulnerability scanner tools open source stack in 2026, the key question isn't which scanner exists, it's which scanner fits your environment and feeds cleanly into your SIEM/XDR workflow so you can prioritize what matters.

Coding agents have a misconfiguration problem. YOLO mode enabled to reduce approval friction, sandbox enforcement disabled, Model Context Protocol (MCP) servers installed from public marketplaces without security review. These are common configurations in enterprise developer environments, and remediating them is genuinely valuable work. AI Security Posture Management (AISPM) addresses exactly this class of risk, surfacing misconfigurations before they create the conditions for a successful attack.

AI is compressing the cybersecurity timeline faster than most institutions can adapt to it. Not only do security leaders have to deal with this new reality, they have to answer key questions to internal and external audiences about their efforts — including regulators.

“The call is coming from inside the house.” It’s one of horror’s oldest lines, and you already know how the scene goes. The team scrambles, rechecks every firewall, audits every login, hunting for an intruder. Then the trace comes back, and there isn’t one because there is no malware or forced entry. Just an employee, at their own desk, with their own login, who pasted a confidential spreadsheet into an unapproved AI tool to save 10 minutes before a deadline.

According to new research from Cyberhaven Labs, drawn from real-world data movement events and active user counts across Cyberhaven's enterprise customer base between December 2025 and June 2026, Claude Desktop usage grew 1,233% between January and June 2026.

Cloudflare's Authenticated Origin Pulls and Custom Origin Trust Store now support post-quantum authentication. Here we’ll explain how you can configure fully post-quantum secure mutually authenticated TLS connections to your origin server, dive into the engineering details of how we built it, make a shameful confession, and finally explain how this work fits into our overall post-quantum migration roadmap.

Prompt injection in a standard LLM interaction produces bad output. The model says something it shouldn’t. The damage stays contained to text. Prompt injection in an MCP environment is a different problem. Agents built on the Model Context Protocol don’t just generate responses. They call tools. They write files, query databases, send emails, execute code, invoke APIs.

Generative AI has quickly moved from experimentation to everyday business use. Employees use AI tools to create content, write code, analyze data, automate repetitive tasks, and interact with business applications in entirely new ways. At the same time, software vendors are embedding AI capabilities into the products organizations already use every day, often without requiring users to adopt separate tools.