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.

Leaked n8n API Tokens Exposed Live Instances to Credential Theft

What Happened

GitGuardian researchers found 321 n8n instances accepting API tokens exposed in public GitHub commits and demonstrated four ways attackers could use them to access sensitive data and downstream credentials without exploiting a software vulnerability. We scanned public GitHub commits for exposed n8n API tokens and identified 4,576 unique credentials associated with 1,255 hostnames. Of the 896

Why It Matters

The article reports that GitGuardian researchers scanned public GitHub commits and found 4,576 unique n8n API tokens tied to 1,255 hostnames, with 321 of 896 reachable instances still accepting at least one leaked token, enabling authenticated access without exploiting a software vulnerability.[1][5][4] These valid tokens can expose workflow definitions, execution data, variables, data tables, and in some configurations allow attackers to use or even extract underlying stored credentials, leading to downstream secret theft across connected services.[1][5][4] From a RealGround perspective, this represents a significant data leakage and credential-compromise risk for any AI or automation workflows orchestrated through n8n, especially where those workflows call AI models or store model-access keys. Organizations should implement systematic secret scanning and revocation, harden CI/CD and Git hygiene, and continuously red-team automation and AI integrations to detect exposed credentials and unauthorized workflow or data access early.

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/2026/08/leaked-n8n-api-tokens-exposed-live.html