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.

Cheap Android TV Boxes Pose as Phones and Turn Owners’ Broadband Into Proxies

What Happened

Bitsight says some cheap Android TV boxes have shipped with apps that rewrite their hardware identity to mimic Samsung, Huawei, Xiaomi, or Vivo phones, then click ads on websites run by the same operators. Researchers named the operation Fuyao and attributed it to Zhejiang Fengwo IoT Technology Co., Ltd., a mainland China company founded in 2019. The same apps have a second job. When a box

Why It Matters

The report says some cheap Android TV boxes shipped with apps that rewrite the device’s hardware identity to impersonate mainstream phones and then perform ad-click fraud, while the same apps also route owners’ bandwidth through proxy infrastructure. The broader pattern matches supply-chain compromise: malicious functionality is embedded before or during deployment, so the end user inherits hidden abuse without installing it themselves. RealGround implication: if similar behavior appeared in AI-enabled devices, firmware, app provenance, and software bills of materials would need review to detect preinstalled abuse and unauthorized network relay behavior.

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/2026/07/cheap-android-tv-boxes-pose-as-phones.html