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 Impacts Over 350,000

What Happened

In March 2026, hackers stole personal, financial, and medical information from the company’s AWS environment. The post CareCloud Data Breach Impacts Over 350,000 appeared first on SecurityWeek .

Why It Matters

According to SecurityWeek, healthcare IT company CareCloud suffered a breach of an AWS-hosted electronic health record environment, where attackers accessed the system between March 10–16, 2026 and exfiltrated personal, financial, and medical information affecting at least 350,000 individuals.[3][2] Exposed data reportedly includes names, contact details, Social Security numbers, government IDs, financial account and card numbers, as well as medical and health insurance information, and the company is offering up to 24 months of identity protection to impacted individuals.[3][2] From a RealGround perspective, this incident highlights high-severity risk in healthcare environments that increasingly depend on cloud-hosted data platforms and AI-assisted workflows, where compromise of underlying data stores can propagate into AI systems via poisoned or corrupted inputs and expose sensitive training data. Organizations using AI on top of EHR and billing data should prioritize comprehensive AI security readiness assessments, continuous red teaming of AI-connected cloud environments, and executive-level AI security governance to ensure that access controls, logging, incident response, and

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-impacts-over-350000/