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.

Fortune 500 Companies Hit in Azure Data Theft Campaign

What Happened

A threat actor is claiming the exfiltration of millions of records from McDonald’s, TCS, Vodafone, and other large organizations. The post Fortune 500 Companies Hit in Azure Data Theft Campaign appeared first on SecurityWeek .

Why It Matters

Reportedly, a threat actor is claiming to have exfiltrated millions of records from multiple Fortune 500 organizations, including McDonald’s, TCS, and Vodafone, via an Azure-hosted environment; the article summary indicates large-scale data theft targeting cloud infrastructure but does not detail specific AI systems. From a RealGround perspective, any compromise of Azure tenant data poses significant AI supply chain and data leakage risk for organizations that rely on Azure-hosted models or AI workloads, as training data, model outputs, or configuration artifacts could be exposed. Practically, enterprises should treat cloud provider breaches as potential compromises of their AI pipelines, enforce strict data segregation and encryption for AI-related assets, and maintain detailed SBOM-style inventories of AI dependencies in Azure to support incident response. RealGround would focus on assessing Azure-based AI workloads, mapping supply chain dependencies, and advising CISOs on governance and response plans aligned with cloud security incidents.

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/fortune-500-companies-hit-in-azure-data-theft-campaign/