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.

US Arrests Two in Crackdown on North Korean IT Worker Laptop Farms

What Happened

Investigators stormed 40 locations in Texas and seized 187 laptops used by North Korean IT workers to hide their location. The post US Arrests Two in Crackdown on North Korean IT Worker Laptop Farms appeared first on SecurityWeek .

Why It Matters

The report states that U.S. authorities arrested two people, searched more than 40 Texas locations, and seized approximately 187 laptops and KVM devices allegedly used to enable North Korean IT workers to obtain remote employment under false identities. The activity reportedly affected more than 70 U.S. companies and involved access to corporate systems. RealGround analysis: this is primarily an identity, insider-access, and supply-chain trust risk rather than a confirmed AI-specific incident; organizations should strengthen contractor verification, endpoint provenance, remote-access controls, and third-party risk assessments.

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://www.securityweek.com/us-arrests-two-in-crackdown-on-north-korean-it-worker-laptop-farms/