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.

Meta Says Hackers Took Code, Personal Data of 1,500 in GitHub Breach

What Happened

Most of the affected individuals are Meta employees in the United States and they are being offered credit monitoring services. The post Meta Says Hackers Took Code, Personal Data of 1,500 in GitHub Breach appeared first on SecurityWeek .

Why It Matters

SecurityWeek reports that attackers used stolen employee credentials to access Meta GitHub repositories and take software code plus personal data affecting roughly 1,500 people, most of them U.S. employees. Meta said about 99% of the accessed material was business data and that the personal data had been stored in the repositories by mistake, contrary to policy. RealGround analysis: compromised source-code repositories and improper data storage create software supply-chain, credential, and governance risks that warrant repository controls, secret detection, access reviews, and supply-chain visibility.

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/meta-says-hackers-took-code-personal-data-of-1500-in-github-breach/