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.

Mass-Scanning Campaign Exploits Vite Flaw to Extract Cloud Credentials From Exposed Dev Servers

What Happened

Cybersecurity researchers have disclosed details of a mass-scanning campaign that has targeted Vite deployments siphon sensitive data. The first is an automated effort aimed at internet-exposed Vite development servers that's designed to steal cloud credentials, configurations from Amazon Web Services (AWS) and Microsoft Azure instances, and infrastructure state files, per F5 Labs. The

Why It Matters

Fact: Researchers report a mass-scanning campaign abusing exposed Vite development servers to extract cloud credentials, AWS/Azure configurations, and infrastructure state files, highlighting how a single dev tooling flaw can expose broader cloud environments. RealGround analysis: For organizations integrating AI systems with cloud-hosted dev environments and tooling, this underscores the need to treat front-end/dev frameworks like Vite as part of the AI supply chain, hardening internet-facing dev services and ensuring secrets, configs, and infrastructure state files used by or adjacent to AI agents are never accessible from insecure tooling.

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/mass-scanning-campaign-exploits-vite.html