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.

Hackers Return $263 Million Stolen From Liquid Network

What Happened

Alleged ‘white-hat’ hackers drained $320 million from Liquid’s federation wallet, demanding a bug fix. The post Hackers Return $263 Million Stolen From Liquid Network appeared first on SecurityWeek .

Why It Matters

Fact: Alleged white-hat hackers drained roughly $320 million from Liquid’s federation wallet and later returned $263 million, using the theft to pressure the operator to fix underlying security flaws. Fact: This incident highlights major weaknesses in digital asset infrastructure, including wallet management, key custody, and transaction controls in a fintech context. RealGround analysis: While the article does not mention AI explicitly, similar systemic control gaps and inadequate monitoring can affect AI-powered trading, risk scoring, or wallet automation in fintech. RealGround analysis: A structured AI Security Readiness Assessment can help fintechs map where AI touches critical financial operations, harden controls around AI-enabled decision-making, and reduce the blast radius of comparable large-scale compromise events.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to fintech 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/hackers-return-263-million-stolen-from-liquid-network/