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.

Dutch Police Arrest 24-Year-Old Amsterdam Man in ShinyHunters Investigation

What Happened

Dutch authorities have confirmed that they arrested a 24-year-old man from Amsterdam in connection with the ShinyHunters group. "It is true that this month a 24-year-old man from Amsterdam was arrested in an investigation into the hacker group ShinyHunters," the Politie Landelijke Opsporing en Interventies said in an X post Monday. Police said the individual is expected to appear before the

Why It Matters

Dutch police confirmed the arrest of a 24-year-old Amsterdam man in an investigation into the ShinyHunters hacking group; independent reporting identified him as Pepijn van der Stap, though police did not publicly disclose his identity or alleged conduct. Reports link the investigation to suspected data theft and extortion, but do not establish that AI systems were involved. RealGround analysis: the reported activity is most relevant to data-leakage preparedness, including assessing exposure, detection, incident response, and governance controls for systems that store or process sensitive data.

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/2026/09/dutch-police-arrest-24-year-old.html