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.

Venezuelan Gets Record Federal Prison Term for ATM Jackpotting

What Happened

Juan Manuel Gouveia-Aguilera has been sentenced to 8 years in prison for his role in an ATM jackpotting scheme that caused millions in losses. The post Venezuelan Gets Record Federal Prison Term for ATM Jackpotting appeared first on SecurityWeek .

Why It Matters

The report says Juan Manuel Gouveia-Aguilera received an 8-year federal prison sentence for an ATM jackpotting scheme that caused millions in losses. This is a criminal fraud case involving financial systems, not an AI-specific incident. RealGround analysis: it is only weakly relevant to AI security unless the underlying payment or banking environment used automated decisioning, fraud tooling, or other AI-enabled controls that were targeted or bypassed.

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/venezuelan-gets-record-federal-prison-term-for-atm-jackpotting/