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: Ransomware Affiliate Betrayal, WhatsApp RAT, Exposed Hacker Tools and 12 More Stories

What Happened

The crooks have trust problems of their own. One ransomware affiliate decided to keep the profits for himself. Elsewhere, an attacker left a server exposed, complete with tools and traces of an intrusion. Apparently, keeping things secure is a problem on both sides of the fence. The rest of the week isn't much more reassuring. Malicious code turned up in developer packages and extensions that

Why It Matters

The report describes ransomware activity, a WhatsApp-delivered Windows RAT, exposed attacker infrastructure, and malicious code in developer packages and extensions. It does not identify an AI-specific attack or compromise of an AI system. RealGround analysis: the developer-package and extension compromise is most relevant to AI supply-chain risk because similar dependencies may enter AI applications or agent environments; organizations should inventory components, assess provenance, and strengthen software and extension controls.

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/threatsday-ransomware-affiliate.html