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.

Critical Check Point Management Flaw Lets Unauthenticated Attackers Run Code as Root

What Happened

A critical vulnerability in Check Point's Security Management and Log Servers could allow an attacker without login credentials to run code as root on those servers over the network. The Security Management Server is the system that controls firewall policy and administrator access. Check Point has released a fix through its LivePatch update channel and says it has no indication that the flaw

Why It Matters

The report describes a critical unauthenticated remote code execution flaw in Check Point Security Management and Log Servers that can let an attacker run code as root over the network. Check Point has issued a fix through its LivePatch channel and says it has no indication the issue has been exploited, according to the article. RealGround implication: this is not an AI-specific issue, but it is relevant to security governance because compromised management infrastructure can undermine access control, monitoring, and broader organizational trust boundaries.

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/critical-check-point-management-server.html