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.

Attackers Turn Trusted Node.js Runtime Into Malware Delivery Tool in Targeted Attacks

What Happened

Threat actors are leveraging the trusted Node.js JavaScript runtime in multiple cyber attacks as a way to deploy malicious payloads. According to a new report published by the Symantec Threat Hunter Team today, the attack method has been put to use in attacks targeting government departments, technology companies, and hotels since February 2026. "The technique's appeal is that node.exe (the

Why It Matters

The report says attackers are abusing the trusted Node.js runtime to deliver malicious payloads in targeted attacks, with victims including government departments, technology companies, and hotels since February 2026. This is a software delivery and runtime abuse issue rather than evidence of an AI-specific compromise. RealGround implication: organizations that rely on Node.js in AI or security-sensitive workflows should review runtime provenance, integrity controls, and detection for suspicious execution chains.

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/2026/09/attackers-turn-trusted-nodejs-runtime.html