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.

North Korean Remote Workers Are Infiltrating Government and Businesses: How to Expose Them Before Hiring

What Happened

Companies are used to thinking about attackers as outsiders trying to break in. North Korean IT workers flip that model. They apply for jobs, pass interviews, receive legitimate credentials, and can end up inside the same systems companies spend millions trying to protect. That risk is no longer theoretical. The FBI is now investigating a North Korean remote IT worker who reportedly worked for

Why It Matters

The report says North Korean remote IT workers are applying for jobs, passing interviews, and obtaining legitimate access inside companies, including organizations the FBI is now investigating. That is a personnel and access-control risk rather than a model-specific AI attack, but it is relevant to AI security programs because insider access can expose sensitive systems, credentials, and workflows. RealGround analysis: organizations should tighten hiring verification, least-privilege access, and ongoing identity checks for remote workers to reduce the chance of unauthorized internal access.

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/2026/08/north-korean-remote-workers-are.html