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.

GeoNetwork Fixes Unauthenticated RCE Chain Affecting Government Geoportal Backends

What Happened

Two vulnerabilities in GeoNetwork can be chained to achieve unauthenticated remote code execution (RCE) on the open-source geospatial metadata catalog, which sits behind many government and agency geoportals. The project shipped fixes in versions 4.4.12 and 4.2.17 on July 8, 2026, and published the vulnerability details on August 31. GeoNetwork originated at the United Nations Food and

Why It Matters

The article reports that two vulnerabilities in the GeoNetwork open-source geospatial metadata catalog can be chained to achieve unauthenticated remote code execution (RCE), and that fixes were shipped in versions 4.4.12 and 4.2.17 on July 8, 2026, with details published on August 31. The software is used behind many government and agency geoportals, increasing potential impact. From a RealGround perspective, any AI or data analytics systems that consume geospatial data from GeoNetwork-backed portals could have their integrity and availability compromised if the underlying catalog is exploited, effectively becoming an AI supply-chain risk. Organizations should inventory where GeoNetwork sits in pipelines feeding AI models, ensure timely patching, and update SBOMs and dependency risk management to reflect these vulnerabilities and fixes.

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://thehackernews.com/2026/09/geonetwork-fixes-unauthenticated-rce.html