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.

China-Nexus JadeProx Uses New TriBack Loader in Government and Healthcare Attacks

What Happened

An exposed Alibaba Cloud server has revealed a China-nexus operation that Group-IB tracks as JadeProx. The cluster has targeted government, healthcare, and education organizations across Asia and Latin America with a previously undocumented Windows loader called TriBack Loader. Group-IB found the server in mid-April 2026 in Alibaba Cloud's Singapore region; it was offline by the time the report

Why It Matters

According to Group-IB’s reporting, the China-nexus JadeProx cluster is using a new Windows loader dubbed TriBack Loader to target government, healthcare, and education organizations across Asia and Latin America via DLL sideloading and at least one fake Claude installer campaign.[1][2] The operation relies on signed vendor binaries, encrypted data files, and stealthy persistence to support long-term cyber espionage.[1][4] From a RealGround perspective, the use of a fake AI application installer and signed binaries to deliver malware illustrates how AI brands and tools can be weaponized in highly targeted intrusion campaigns, increasing risk for organizations adopting AI software without robust supply-chain and endpoint controls. Continuous AI red teaming can help organizations simulate similar attacker tradecraft around AI-related tooling, validate detection of malicious installers and sideloading chains, and harden their environments against AI-themed social engineering and loader-based post-compromise activity.

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/2026/07/china-nexus-jadeprox-uses-new-triback.html