Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

8 Best Encrypted Email Services to Protect Yourself With In 2026

Most successful hacks and data breaches are perpetrated through email. In a perfect world, everyone would find safer methods for communication, but since email isn't going anywhere anytime soon, encrypted email is our best option. Since Internxt doesn't have its own encrypted email yet, we've assembled a list of the best encrypted email services you should use in the meantime.

Can You Download Private Instagram Videos? The Honest Answer

Search for 'private Instagram downloader' and you'll find dozens of sites claiming to do it. Most of them can't - and the ones that claim otherwise are usually either misleading or asking for something you shouldn't give them (like your Instagram password). The honest answer depends on which specific situation you're in. Here's the full picture, without the misleading promises - and where a free instagram downloader actually works.

AI Agents & Cybersecurity: Why AI Agents Are New Trust Boundaries | A10 Networks

AI Agents & Cybersecurity: Why AI Agents Are New Trust Boundaries AI agents are more than just another virtual machine—they are autonomous entities delegated with power, introducing entirely new trust boundaries into modern network architectures. In this discussion, A10's Arjoyita Roy and Jamison Utter discuss why traditional security controls fall short when managing AI agents and why cybersecurity professionals must design new security perimeters and controls around these evolving AI workloads.

Automate Inactive User Suspension with JumpCloud Workflows

Say goodbye to manual offboarding checks and dormant account risks! Join Derek Johnson as he demonstrates how to leverage JumpCloud’s user inactivity rules and Directory Insights (DI) trigger events to instantly automate account suspensions, group isolations, and admin notifications. We walk through configuring inactivity thresholds, mapping JSON parameters, and executing a live test run so you can streamline your IT operations today.

Avoid Azure secret rotation with secretless authentication

Many observability platforms authenticate to Microsoft Azure by using client secrets. Teams must create, store, and periodically rotate these secrets to keep receiving the telemetry data that they need. This recurring maintenance adds operational overhead and increases the risk of ingestion outages that occur when secrets expire.

The Agent Baseline: 35 controls, but where should you start?

Two weeks ago, we published the Agent Baseline alongside Docker and Keycard. In it, we describe six security outcomes, 35 controls, and an open reference architecture for running AI agents at the enterprise level. Last week, we stress-tested it: we took it to a panel at Black Hat and spent about one hour being asked hard questions about it. Play Video: Snyk x Docker x Keycard | Agent Baseline Panel @ Black Hat 2026 The most useful question came from someone who had actually already read it.

Black Hat Proved AI Agents Are Already the Attack Surface

Enterprise AI agents stopped being a pilot project a while ago. They read email, touch source code, operate browsers, and increasingly make decisions inside production systems, which means the security model built for chatbots and prompts no longer covers what is actually happening inside the enterprise. Black Hat USA 2026 turned out to be the week that gap became impossible to ignore.

Coding Agent Risk for CISOs: Blast Radius, Governance, and Where to Start

Claude Code, Cursor, GitHub Copilot, and Gemini CLI are running on developer machines across your enterprise right now. They're browsing the web, writing to your filesystem, committing code to your repositories, and calling external APIs under the identity of your engineers. Most security teams have no visibility into any of it. This isn't a future problem.

Is your AI system secure enough? MITRE ATLAS Is Now Law.

For the first time anywhere, the MITRE ATLAS framework and the OWASP Top 10 for LLM applications are written into binding law. Article 15 names data poisoning, model poisoning, adversarial examples, model evasion and confidentiality attacks as threat classes you must have technical measures against—and must be able to evidence to a regulator. The question is no longer whether you have thought about AI security. It is whether you can prove your AI system holds.