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.

Google Fined €403 Million Over GDPR Violations Tied to Location Data

What Happened

Google has been fined €403 million for breaking the EU's data protection law, the GDPR, in the way three of its features handled people's location data from May 2018 to February 2020. Ireland's Data Protection Commission (DPC), Google's lead regulator in the EU, also ordered the company to make its processing comply with the law within 6 months. The DPC has not said publicly which

Why It Matters

According to the provided report, Google was fined €403 million by Ireland’s Data Protection Commission for GDPR violations involving the handling of location data by three features between May 2018 and February 2020, and was ordered to comply within six months. The report does not establish that the violations involved artificial intelligence. RealGround analysis: the case is relevant to AI governance because AI-enabled products that process personal or location data require documented privacy controls, regulatory oversight, and evidence of compliant data-processing practices.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to compliance / governance. 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/google-fined-403-million-over-gdpr.html