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.

SafePal Hardware Wallet Maker Says Flaw Exposed Data of Nearly 40,000 Customers

What Happened

SafePal has disclosed that an authorization flaw in an order-tracking plug-in exposed the names, email addresses, shipping addresses, phone numbers, and purchase details of approximately 39,798 customers. The hardware wallet maker said all affected customers were notified individually by email on August 16 from security@safepal.com, with the subject line "[Important] Your SafePal Order

Why It Matters

The article reports that SafePal disclosed an authorization flaw in an order-tracking plug-in that exposed names, email addresses, shipping addresses, phone numbers, and purchase details of about 39,798 hardware wallet customers, and that affected users were notified by email on August 16. This is a classic third-party component data exposure in the digital asset/fintech context, even though no AI system is explicitly mentioned. From a RealGround perspective, similar authorization flaws in AI-related plugins, integrations, or vendor components could leak sensitive user or transaction data feeding AI systems, undermining trust and compliance. Organizations should treat AI-related tools and plugins as part of their broader software supply chain, applying SBOM-driven inventory, rigorous access control reviews, and continuous security assessments to prevent comparable data leakage incidents.

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://thehackernews.com/2026/08/safepal-hardware-wallet-maker-says-flaw.html