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 152 Patches Over 300 Vulnerabilities

What Happened

Most of the flaws were discovered by Google using AI, but researchers are still discovering high-value Chrome vulnerabilities. The post Chrome 152 Patches Over 300 Vulnerabilities appeared first on SecurityWeek .

Why It Matters

The article reports that Chrome 152 patches over 300 vulnerabilities, with most of the flaws identified by Google using AI-based detection, while external researchers continue to find high-value Chrome bugs. This shows AI is now a core part of the browser security supply chain, but also that critical issues can still escape internal AI-driven discovery and be found later by researchers. From a RealGround perspective, organizations relying on AI in their software security pipeline should treat AI-based vulnerability discovery as one component in a broader supply chain assurance program, combining SBOM-style visibility with ongoing red teaming to catch high-impact issues that automated systems miss.

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-152-patches-over-300-vulnerabilities/