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 VM Escape Vulnerability Patched in VMware ESXi

What Happened

A total of five vulnerabilities have been patched in VMware ESXi, vCenter, Workstation, and Fusion. The post Critical VM Escape Vulnerability Patched in VMware ESXi appeared first on SecurityWeek .

Why It Matters

The article reports that VMware has patched five vulnerabilities in ESXi, vCenter, Workstation, and Fusion, including CVE-2026-47876, a critical VM escape bug in the VMXNET3 virtual network adapter that allows a local admin on a guest VM to execute arbitrary code on the ESXi host.[4][8] Other issues include information disclosure/DoS against host processes (CVE-2026-41703) and logging bypass on ESXi (CVE-2026-41709).[4] From a RealGround perspective, hypervisor VM escape directly impacts the AI supply chain, because many AI workloads and models run on virtualized infrastructure—compromise of ESXi can cascade into AI platforms, model hosting environments, and training clusters. Organizations should treat these patches as critical for any VMware-backed AI infrastructure, maintain a detailed SBOM and asset inventory for virtualized AI environments, and conduct readiness assessments focused on hypervisor hardening, patch governance, and isolation of high-value AI workloads.

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://www.securityweek.com/critical-vm-escape-vulnerability-patched-in-vmware-esxi/