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.

Chrome 150 Update Patches 27 Vulnerabilities

What Happened

The security refresh resolves 13 use-after-free bugs, including two critical-severity flaws found by Google. The post Chrome 150 Update Patches 27 Vulnerabilities appeared first on SecurityWeek .

Why It Matters

The article reports that Chrome 150 patches 27 vulnerabilities, including 13 use-after-free bugs and two critical-severity flaws discovered by Google. RealGround analysis: this is primarily a browser security update rather than an AI-specific incident, but it matters to AI environments because browsers are common entry points for phishing, session theft, and web-based access to AI tools. The practical implication is to prioritize rapid patching on endpoints used to access AI SaaS or agent workflows, and to validate browser and extension hygiene as part of supply-chain and readiness controls.

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/chrome-150-update-patches-27-vulnerabilities/