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 Isolated-vm Vulnerability Leads to RCE on Host

What Happened

The type confusion bug can lead to V8 sandbox escape and control-flow hijacking of the host process. The post Critical Isolated-vm Vulnerability Leads to RCE on Host appeared first on SecurityWeek .

Why It Matters

Report facts: The article describes a critical type confusion vulnerability in isolated-vm that enables escape from the V8 sandbox and remote code execution on the host process, allowing an attacker to hijack control flow on systems relying on this component. This affects environments where isolated-vm is used to safely execute untrusted or sandboxed code. RealGround analysis: Because isolated-vm is an external dependency used to provide isolation for code that may include AI workloads or agents, this bug represents an AI supply chain risk—organizations must inventory where isolated-vm is used in their AI infrastructure, apply patches promptly, and update SBOMs to reflect vulnerable and fixed versions. Practically, security teams should reassess their trust assumptions around sandboxed execution for AI components, harden host configurations, and ensure continuous monitoring and red teaming to detect potential sandbox escapes leveraging this class of vulnerability.

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-isolated-vm-vulnerability-leads-to-rce-on-host/