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 NetScaler Vulnerability Exploited in Attacks

What Happened

Tracked as CVE-2026-19490, the authentication bypass flaw has been exploited in the wild since at least September 3. The post Critical NetScaler Vulnerability Exploited in Attacks appeared first on SecurityWeek .

Why It Matters

Report facts: The article describes a critical authentication bypass vulnerability in Citrix NetScaler, tracked as CVE-2026-19490, which has been actively exploited in the wild since at least September 3. This flaw allows attackers to circumvent normal access controls, indicating that exposed NetScaler deployments are at immediate risk of compromise. RealGround analysis: While the issue is in network infrastructure rather than an AI system, it represents an upstream supply-chain and environment risk for any AI workloads or agents that depend on NetScaler-fronted services. Organizations should treat this as a critical component in their AI supply chain, promptly patch affected appliances, update SBOMs and asset inventories, and reassess AI security readiness to ensure that AI agents and services are not indirectly exposed through compromised network gateways.

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-netscaler-vulnerability-exploited-in-attacks/