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.

Xandr Fined a Record €8.6 Million for Relaying Grindr Data Revealing Sexual Orientation

What Happened

The Norwegian Data Protection Authority (DPA) has fined Xandr, an advertising unit owned by Microsoft, €8.6 million ($9.62 million) for illegally relaying Grindr users' sensitive data to advertisers. The administrative penalty is the largest issued by the data protection watchdog, arguing the case merited a high fine because of the "very serious" nature of the breach. The infringements

Why It Matters

Norway’s Data Protection Authority fined Xandr €8.6 million for allegedly relaying Grindr users’ sensitive data to advertisers, including information that could reveal sexual orientation. The reported case concerns privacy and regulatory compliance rather than an AI-specific attack. RealGround analysis: organizations handling sensitive personal data should strengthen consent controls, data-sharing governance, vendor oversight, and regulatory compliance processes.

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/2026/10/xandr-fined-record-86-million-for.html