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.

N-able N-central Pre-Auth RCE Flaw Exploited in the Wild

What Happened

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday added a maximum-severity security flaw impacting N-able N-central to its Known Exploited Vulnerabilities (KEV) catalog, requiring Federal Civilian Executive Branch (FCEB) agencies to apply the fixes by September 11, 2026. The vulnerability in question is CVE-2026-86218 (CVSS score: 10.0), which has been described as a

Why It Matters

The article reports that CISA added CVE-2026-86218 in N-able N-central to the Known Exploited Vulnerabilities catalog and required federal civilian agencies to patch it by September 11, 2026. The reported issue is a maximum-severity pre-auth RCE flaw that is being exploited in the wild. RealGround analysis: while this is not an AI-specific incident, it is relevant to AI security programs because compromised infrastructure and third-party management tools can become a supply-chain entry point for systems that support AI operations.

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://thehackernews.com/2026/09/n-able-n-central-pre-auth-rce-flaw.html