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.

U.S. Offers Up to $10 Million for Tips on Zhang Yu, Charged in HAFNIUM Hacks

What Happened

The U.S. State Department is offering up to $10 million for information leading to the identification or location of Zhang Yu, a Chinese national charged in the United States in connection with the 2021 Microsoft Exchange Server attacks known as HAFNIUM. The reward is for information leading to his identification or location, the news outlet NTD reported this week, citing a notice

Why It Matters

The report concerns alleged state-linked cyber intrusions exploiting Microsoft Exchange Server vulnerabilities in the HAFNIUM campaign, including unauthorized access to systems and theft of documents and research. It does not describe an AI system, AI model, or AI-specific attack. RealGround analysis: the incident is only indirectly relevant to AI security because organizations using compromised infrastructure or third-party software should assess supplier risk, vulnerability management, and exposure of sensitive AI-related data.

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/2026/10/us-offers-up-to-10-million-for-tips-on.html