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.

Elementor Pro Flaw Could Let Unauthenticated Attackers Upload PHP and Execute Code

What Happened

Cybersecurity researchers have disclosed details of a critical flaw in the Elementor Pro WordPress plugin that, if successfully exploited, could lead to remote code execution. The vulnerability, tracked as CVE-2026-32475, carries a CVSS score of 9.0 out of 10.0. It has been described as a case of unrestricted upload of a file with a dangerous type. "The flaw lives in the Forms module's File

Why It Matters

Report fact: the article describes a critical vulnerability in the Elementor Pro WordPress plugin, tracked as CVE-2026-32475, that can allow unauthenticated file upload and possible remote code execution. The issue is in a third-party plugin used in website infrastructure, not in an AI model or agent itself. RealGround implication: this fits AI supply chain risk only insofar as insecure upstream software can weaken systems that host or support AI services, so inventory, patching, and dependency review are relevant.

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/2026/08/elementor-pro-flaw-could-let.html