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.

Over 1,000 Charities Hit by Beacon CRM Data Breach

What Happened

The root cause of the incident is believed to be a compromised AWS access key that was exposed in publicly available JavaScript build artifacts. The post Over 1,000 Charities Hit by Beacon CRM Data Breach appeared first on SecurityWeek .

Why It Matters

The report describes a SaaS breach at Beacon CRM in which a compromised AWS access key, reportedly exposed in public JavaScript build artifacts, led to unauthorized access and export of customer database backups affecting over 1,000 charities. Related reporting says the attacker likely exfiltrated broad customer records and attachments, with no current evidence of persistence or public resale of the stolen data.[1][2] RealGround relevance is primarily about data leakage and cloud secret exposure: if similar secret-handling weaknesses exist in AI-enabled or SaaS workflows, they can expose sensitive tenant data, credentials, and downstream integrations.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to data leakage. 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/over-1000-charities-hit-by-beacon-crm-data-breach/