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.

CareCloud Data Breach Impact Grows to 3.7 Million Individuals

What Happened

The data breach was initially believed to affect roughly 350,000 people, but the HHS breach tracker shows a far bigger impact. The post CareCloud Data Breach Impact Grows to 3.7 Million Individuals appeared first on SecurityWeek .

Why It Matters

Report facts: SecurityWeek reports that CareCloud’s healthcare data breach impact has expanded from an initially estimated ~350,000 individuals to about 3.7 million, as reflected in the HHS breach tracker, indicating a large-scale exposure of protected health information. This points to significant weaknesses in CareCloud’s data protection and breach impact assessment processes for healthcare systems that may use AI-driven analytics or decision-support tools built on this data. RealGround analysis: For organizations relying on CareCloud or similar vendors, this highlights the need to treat EHR and healthcare SaaS platforms as part of the AI risk surface, ensuring strong data governance, breach detection, and containment controls before data is ingested into AI models. Conducting an AI-focused security readiness assessment and establishing CISO-level oversight for third-party healthcare data flows can reduce downstream AI security and compliance exposure if such data is later used to train or inform AI systems.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to healthcare AI risk. 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/carecloud-data-breach-impact-grows-to-3-7-million-individuals/