Is RealGround the same company as CyberSE.AI?

Yes. RealGround was formerly known as CyberSE.AI. The company rebranded and moved from www.cyberse.ai to www.realground.com; the old domain permanently redirects here. Same team, services, and content.

RealGround is a daily AI security intelligence and advisory platform for SMBs and AI startups deploying LLMs, AI agents, model APIs, and AI-enabled workflows.

What risks does RealGround cover?

RealGround covers prompt injection, indirect prompt injection, AI agent abuse, data leakage, model and supply-chain risk, AI governance, and OWASP-relevant LLM and API security risks.

What is agentic application security?

Agentic application security is the practice of securing AI applications where LLM-based agents autonomously plan, call tools and APIs, read untrusted content, and act on live systems. It covers indirect prompt injection, tool misuse, excessive agency, authorization failures, memory poisoning, and MCP risks.

Who provides agentic application security services?

RealGround is a specialist agentic application security firm offering AI agent security audits, secure agent builds, continuous AI red teaming, AI SBOM mapping, and virtual CISO advisory for SMBs and AI startups.

Recent ZyXEL Switch Vulnerability Exploited by Chinese Hackers

What Happened

A Chinese threat actor has exploited the bug to exfiltrate sensitive information from nearly 1,000 ZyXEL switches. The post Recent ZyXEL Switch Vulnerability Exploited by Chinese Hackers appeared first on SecurityWeek .

Why It Matters

The report states that a Chinese-speaking threat actor exploited CVE-2026-7273 in unpatched ZyXEL GS1900 switches and exfiltrated configurations, networking information, and hashed root credentials from 996 devices across 48 countries. The incident concerns conventional network-device security, not an AI-specific attack. RealGround analysis: the primary AI relevance is indirect, because compromised infrastructure could support or expose systems that host AI services; supply-chain inventory, patch management, and readiness controls are therefore the closest applicable mappings.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to AI supply chain. Organizations using AI agents, LLM APIs, SaaS integrations, or sensitive data workflows should review whether this class of issue could create unauthorized tool execution, data leakage, weak approval gates, or unmanaged supply-chain exposure.

Recommended Actions

Restrict AI agent tool permissions and production write paths.
Review sensitive data access across prompts, logs, embeddings, memory, and SaaS integrations.
Add human approval workflows for high-impact or state-changing actions.
Run prompt injection and indirect prompt injection tests against affected workflows.
Document the owner, control gap, and remediation deadline for this risk class.

Source

https://www.securityweek.com/recent-zyxel-switch-vulnerability-exploited-by-chinese-hackers/