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 Pre-Auth RCE in Orkes Conductor Workflow Platform Exploited in the Wild

What Happened

A critical vulnerability impacting Orkes Conductor is being actively exploited in the wild, according to Fortinet. The vulnerability in question is CVE-2026-58138 (CVSS v3.1 score: 9.8/CVSS v4 score: 9.3), which relates to a case of unauthenticated remote code execution. "Orkes Conductor 3.21.21 before 3.30.2 contains an unauthenticated remote code execution vulnerability that allows remote

Why It Matters

The report says Orkes Conductor is affected by a critical unauthenticated remote code execution vulnerability, CVE-2026-58138, and that Fortinet reports active exploitation in the wild. This is not described as an AI-specific issue in the article, but it can affect systems used to orchestrate AI workflows or agent operations if they rely on the vulnerable platform. RealGround analysis: the main security implication is exposure of orchestration infrastructure to takeover, so organizations using workflow platforms in AI pipelines should prioritize patching, access control review, and validation of any agent-triggered automation paths.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to AI agent abuse. 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-pre-auth-rce-in-orkes.html