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.

Recent Citrix NetScaler Vulnerability Exploited in the Wild

What Happened

CISA is urging government agencies to immediately patch the Citrix NetScaler vulnerability tracked as CVE-2026-8452. The post Recent Citrix NetScaler Vulnerability Exploited in the Wild appeared first on SecurityWeek .

Why It Matters

The article reports that a Citrix NetScaler vulnerability (CVE-2026-8452) is being actively exploited, and CISA is urging government agencies to apply patches immediately. This is a traditional software infrastructure flaw, not an AI-specific bug, but it affects a critical component that may underpin networks hosting AI systems and services. From a RealGround perspective, such infrastructure vulnerabilities highlight AI supply chain risk, since compromised network appliances can be used to intercept or tamper with data flows to and from AI models, including sensitive prompts or outputs. Organizations should treat network and appliance patch management as part of their AI security posture by integrating these components into SBOM-driven inventories and regular readiness assessments.

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/recent-citrix-netscaler-vulnerability-exploited-in-the-wild/