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.

Hackers Target Zimbra Servers in Active Exploitation Campaign

What Happened

Exploitation of the Zimbra Collaboration vulnerability CVE-2026-73570 has been observed by Poland’s CERT Polska. The post Hackers Target Zimbra Servers in Active Exploitation Campaign appeared first on SecurityWeek .

Why It Matters

Reported facts: The article describes active exploitation of a Zimbra Collaboration vulnerability (CVE-2026-73570), observed by Poland’s CERT Polska, with attackers targeting vulnerable Zimbra servers in the wild. This indicates a live campaign against widely deployed collaboration infrastructure that many organizations rely on for email and messaging. RealGround analysis: While the report does not mention AI directly, compromise of core collaboration and email platforms is a critical AI supply chain risk because those systems often feed data into, or are used by, AI assistants and agents for email automation, knowledge retrieval, and workflow orchestration. Organizations integrating Zimbra or similar services into AI-powered workflows should harden and patch these components promptly, maintain an inventory and SBOM for dependencies, and treat any compromised collaboration system as a potential channel for downstream data leakage and agent abuse.

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/hackers-target-zimbra-servers-in-active-exploitation-campaign/