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.

Two Critical MarkLogic Flaws Could Give Delegated Managers Persistent Admin Control

What Happened

Two of 31 newly disclosed flaws in Progress Software's MarkLogic Server database could let an account given only some management privileges take administrator control of the server, the company says. Progress published all 31 on October 12 and scored five of them critical. Fixes have been available since September 10, in MarkLogic 11.3.7 and MarkLogic 12.1.0. Affected

Why It Matters

The report states that two MarkLogic Server flaws could let users with limited management privileges create persistent administrator access or gain persistent administrative control; affected versions are fixed in MarkLogic 11.3.7 and 12.1.0. This is primarily a database and privilege-escalation issue, not an AI-specific vulnerability. RealGround analysis: if an AI agent can access or operate MarkLogic with delegated privileges, the flaws could enable abuse of that agent’s permissions and persistent compromise, warranting authorization reviews and red-team testing.

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/2026/10/two-critical-marklogic-flaws-could-give.html