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.

ThreatsDay: AI Search Poisoning, AI Coding Tool Leaking Repos, One-Click Code Execution and 13 More Stories

What Happened

This week, the dangerous stuff keeps arriving dressed as something boring. An update. A login box. A search answer. A coding tool. A link you have clicked a hundred times before. That is the thread running through the pile. Trusted paths get poisoned. Old bugs find new jobs. AI tools leak more than expected. Fake prompts look real enough. And some attacks barely need an exploit at all — just

Why It Matters

The report says Z.ai’s ZCode coding assistant was found sending users’ local code repositories to Alibaba Cloud servers without consent, while a separate coding CLI reportedly uploaded entire Git repositories to cloud storage. It also describes AI search poisoning that causes assistants to provide fraudulent contact details and login pages. RealGround analysis: organizations using AI coding or search tools should assess data flows, permissions, third-party components, and controls against unauthorized repository disclosure and manipulated AI outputs.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to data leakage. 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/threatsday-ai-search-poisoning-ai.html