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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.

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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.

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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.

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Malicious npm Package Poses as Twilio Bug-Bounty Probe, Can Exfiltrate Credentials

What Happened

Cybersecurity researchers have disclosed details of a malicious npm package named "tw-pkgprobe-7731" that masquerades as a security tool targeting developers integrating Twilio into their applications, while stealthily attempting to harvest sensitive data. The package, named "tw-pkgprobe-7731," was first uploaded to the npm registry in mid-August 2026 by an npm account named "twdepprobe7731."

Why It Matters

Researchers reported that the npm package "tw-pkgprobe-7731" impersonated an authorized Twilio security-research tool and was published in 11 versions in rapid succession. The package allegedly targeted Twilio developers and attempted to harvest sensitive local environment data, including credentials. This is primarily a software supply-chain compromise rather than an AI-specific incident; RealGround analysis indicates that dependency provenance checks, SBOM monitoring, package review, and credential-exposure response controls are relevant mitigations.

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/malicious-npm-package-poses-as-twilio.html