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 VMware Workstation and Fusion Flaw Lets VM Admins Execute Host Code

What Happened

Broadcom has released security updates for two security flaws impacting VMware Workstation and Fusion, including one critical bug that could result in arbitrary code execution under certain conditions. The vulnerability, tracked as CVE-2026-59346 (CVSS score: 9.3), is an integer-overflow vulnerability that a local attacker with elevated privileges can exploit to run arbitrary code. "A

Why It Matters

Reported facts: Broadcom released patches for two vulnerabilities in VMware Workstation and Fusion, including CVE-2026-59346 (CVSS 9.3), an integer-overflow bug that allows a local attacker with elevated privileges in a guest VM to execute arbitrary code on the host under certain conditions. This represents a serious hypervisor escape risk for environments relying on VMware for isolation. RealGround analysis: For AI workloads running in VMs or using VMware as part of their infrastructure, this flaw undermines the assumed isolation boundary in the AI supply chain, potentially exposing model artifacts, training data, and orchestration systems on the host. Organizations should treat this as a high-priority virtualization supply-chain issue and ensure timely patching, updated SBOMs, and host hardening for AI infrastructure that depends on VMware.

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/critical-vmware-workstation-and-fusion.html