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.

Revolut Data Breach: 5 Months, 680 High-Profile Accounts, $3M Ransom

What Happened

Revolut allegedly fed customer information to hackers impersonating an Italian government agency for five months. The post Revolut Data Breach: 5 Months, 680 High-Profile Accounts, $3M Ransom appeared first on SecurityWeek .

Why It Matters

The report alleges that Revolut customer information was exposed over a five-month period after attackers impersonated an Italian government agency and extracted data tied to 680 high-profile accounts, with a ransom demand of $3 million. This is a reported data breach involving sensitive customer information, not a confirmed AI-specific attack. RealGround analysis: if AI systems were used to route, summarize, or validate customer or identity data, the incident would heighten the need for stronger access controls, verification workflows, and breach-response readiness around any AI-enabled data handling.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to data leakage. 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/revolut-data-breach-5-months-680-high-profile-accounts-3m-ransom/