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 Hijack MikroTik Routers Through Internet-Exposed SSH Without Authentication

What Happened

Attackers are exploiting MikroTik routers with their Secure Shell (SSH) remote-access service, which is reachable from the internet, to gain full administrative control without authentication, according to CERT Polska's attack warning, published on September 5. Successful attacks date to at least September 2. The Hacker News’s September 6 review of the warning found no victim count or

Why It Matters

Report facts: attackers are exploiting internet-exposed MikroTik SSH services to gain administrative control without authentication, with successful attacks observed since at least September 2. This is a network-device compromise issue, not an AI-specific incident. RealGround analysis: it has only indirect relevance to AI security because compromised infrastructure can support broader abuse or affect environments that host AI systems, but the article does not describe prompt injection, model theft, data leakage, or other AI-native risks.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to AI agent abuse. 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-hijack-mikrotik-routers.html