Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Online Games Safety: How to Enjoy Browser Games Without Compromising Your Security

The online gaming industry has never been more accessible. Millions of people around the world launch a browser, navigate to a website, and start playing - no downloads, no installations, no subscriptions required. Browser games have carved out a massive niche precisely because they remove every barrier between a player and their entertainment.

Fortinet, Azure, AWS & More: Inside AlgoSec's 2026 State of Network Security Report

The largest survey of its kind reveals how AI, automation, and consolidation are reshaping hybrid and multi-cloud security in 2026. Join us for an exclusive webinar on AlgoSec’s 2026 State of Network Security Report, where 500 security leaders reveal how AI, automation, and consolidation are reshaping hybrid and multi-cloud security. Get the inside view on how enterprises are regaining control, simplifying operations, and securing faster than ever. See how leading vendors including Palo Alto Networks, Fortinet, Cisco, Zscaler, Azure, AWS, and Google Cloud are setting the pace for 2026 and what their strategies mean for you.

A Deep Dive Into The Multi Cloud Mess & How AlgoSec Connects the Dots

Multi cloud environments were supposed to deliver flexibility and scalability, but for many organizations they have created fragmented visibility, inconsistent security policies, cloud sprawl, and growing operational risk. In this video, we take a deep dive into the modern multi cloud security challenge and explore how AlgoSec helps organizations connect the dots across AWS, Azure, GCP, Kubernetes, and on premises environments.

7 Best AI Code Security Platforms for 2026

AI changed software development faster than most security programs could realistically adapt. Engineering teams are now generating code with AI assistants, deploying infrastructure through automation, creating APIs dynamically, and operating development environments where software changes happen continuously throughout the day. Development velocity increased dramatically, but the security complexity surrounding that software increased just as quickly.

Remote Desktop Software With Built-In File Transfer: What to Know

Remote desktop sessions connect a technician or user to a distant machine in real time. But in a support or administration workflow, viewing and controlling that machine is rarely the whole job. Moving files in both directions, pushing a patch, pulling a log file, dropping a configuration script onto the remote system, is an everyday part of how IT work actually gets done. Remote desktop software with built-in file transfer capability handles this inside a single tool, eliminating the need to switch to a separate application mid-session.

How to Threat Model AI Agents in Kubernetes: A Practical Framework

Most threat modeling assumes the attacker has to break something. AI agents change that assumption. An attacker who controls a prompt can make the agent misbehave without breaking anything at all. The prompt can be a customer support ticket the agent reads, a document it retrieves, or a tool response it processes — any input the agent treats as context is an attack surface. On Kubernetes, that attack surface has physical form.

Deploying AI Agents to Production Kubernetes: A Security Checklist for Platform Teams

Your platform team already runs a production-readiness review on every workload that ships to Kubernetes. When the workload is an AI agent, the PRR doesn’t get thrown out — it gets a delta. Most of the items still apply; specific ones need extension when the workload is non-deterministic, calls tools dynamically, and exercises identity at runtime in ways the manifest didn’t predict.

GenAI security management: Governing apps, agents and MCP servers through central policy

Author: Alexander Ivanyuk, Senior Director, Technology Generative AI in business is no longer just one chatbot in one browser tab. In many environments, it is already a mix of web-based AI apps, built-in assistants inside larger platforms, internal agents created for specific workflows and model context protocol (MCP)-connected tools that let AI reach documents, services and business systems beyond the model itself. That changes the conversation completely.

RAG vs Agentic AI: What's the Difference and Why Does It Matter for Security?

Security architects who understood the large language model (LLM) risk two years ago are now confronting a more complex problem. The enterprise AI stack has split into two distinct architectural patterns, retrieval-augmented generation (RAG) and agentic AI, and the security posture required for each is fundamentally different. Conflating them is how programs end up with coverage gaps.