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.

AhsayCBS Flaws Exploited to Deploy Web Shells Get New Fixes After Incomplete Patches

What Happened

Singapore-based Ahsay Backup has released security updates to address two security flaws in AhsayCBS that have been exploited by bad actors to drop web shells and XMRig cryptocurrency miners. The vulnerabilities in question are CVE-2026-105133 and CVE-2026-105134, which could be chained to sidestep authentication and execute arbitrary commands on affected systems. In a report published earlier

Why It Matters

The report describes active exploitation of two AhsayCBS vulnerabilities that can be chained to bypass authentication, execute commands, deploy web shells, and install XMRig miners; earlier patches were incomplete. This is not an AI-specific incident, but it has limited relevance to AI supply-chain and readiness concerns when AhsayCBS supports environments hosting AI systems or data. RealGround analysis: affected organizations should inventory exposed instances and dependent systems, apply the corrected fixes, restrict management interfaces, and investigate compromise indicators.

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/2026/10/ahsaycbs-flaws-exploited-to-deploy-web.html