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.

Webinar: Learn How to Answer “Are We Exposed?” Faster After a New CVE

What Happened

A major vulnerability is disclosed. The alert lands immediately. Then comes the harder question: Are we actually exposed? For many security teams, answering that means jumping between vulnerability scanners, endpoint tools, cloud inventories, SBOMs, repositories, and application data to build enough context to act. As AI accelerates vulnerability discovery and research, that delay matters more

Why It Matters

The article describes a webinar focused on helping security teams more rapidly determine whether they are exposed when a new CVE is disclosed, highlighting operational challenges of pulling data from scanners, endpoint tools, cloud inventories, SBOMs, and repositories. It notes that as AI accelerates vulnerability discovery and research, delays in assessing exposure become more critical. RealGround analysis: this reflects an AI-driven acceleration of the software and vulnerability supply chain, increasing pressure on organizations to maintain accurate SBOMs and integrated asset/vulnerability inventories. Practically, organizations should strengthen SBOM-based visibility and readiness processes so AI-accelerated CVE discovery does not outpace their ability to understand and remediate exposure.

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/webinar-learn-how-to-answer-are-we.html