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.

Oracle Health Data Breach Tally Climbs to Nearly 20 Million

What Happened

The figure is far higher than the counts that surfaced in earlier filings and patient notifications. The post Oracle Health Data Breach Tally Climbs to Nearly 20 Million appeared first on SecurityWeek .

Why It Matters

SecurityWeek reports that a cyberattack on Oracle Health’s legacy Cerner systems compromised personal and medical information belonging to nearly 20 million people, including Social Security numbers and patient-record details. The report does not establish that an AI system was involved; the healthcare AI risk classification is based on the sensitive healthcare-data exposure and its implications for AI-enabled healthcare environments. RealGround analysis: organizations should assess legacy-system controls, data governance, access management, breach readiness, and oversight of AI systems that may access or process affected healthcare data.

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/oracle-health-data-breach-tally-climbs-to-nearly-20-million/