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.

101 Malicious npm Packages Add Developers' WhatsApp Accounts to Groups Without Consent

What Happened

Cybersecurity researchers have identified a cluster of 101 npm packages that are used to trap developers into a WhatsApp group subscriber campaign dubbed PhantomSub. "The malicious packages abuse the 'Baileys' WhatsApp open source project to add the victims to groups without their consent," OX Security researchers Nir Zadok, Moshe Siman Tov Bustan, and Vitalii Chepurko said in a technical

Why It Matters

Researchers identified 101 malicious npm packages that abused the Baileys WhatsApp open-source project to add developers’ accounts to groups without consent; the packages reportedly received about 490,000 downloads. The report describes a software supply-chain compromise involving malicious packages, rather than an attack on an AI model. RealGround analysis: organizations using third-party packages in AI applications or agent environments should inventory dependencies, assess package provenance, and apply controls for unauthorized code execution and access to connected accounts.

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/2026/09/101-malicious-npm-packages-add.html