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.

Chinese Hackers Exploit Chrome-Windows Zero-Day Chain to Deploy CLEANGULP Malware

What Happened

A Chinese threat actor codenamed UTA0565 has been observed exploiting the recently disclosed Google Chrome-Microsoft Windows exploit chain as zero-days through fake websites. The attacks, detected on September 3 and 4, 2026, involved the chaining of two vulnerabilities in Chrome (CVE-2026-85046, CVE-2026-87491) and one impacting Windows Advanced Local Procedure Call (CVE-2026-85880) to break

Why It Matters

The report states that China-linked threat actor UTA0565 used fake websites and a Chrome-Windows zero-day chain involving CVE-2026-85046, CVE-2026-87491, and CVE-2026-85880 to deploy the previously undocumented CLEANGULP malware. The reported activity is conventional cyber-enabled malware deployment and does not establish the use of artificial intelligence. RealGround analysis: it is therefore only indirectly relevant to AI security, but the exploit-chain, phishing, and malware-delivery techniques may inform defensive threat modeling and continuous red-team scenarios for AI-enabled environments.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to malicious AI use. 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/chinese-hackers-exploit-chrome-windows.html