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.

Unpatched Shark Vacuum Flaw Could Let Attackers Control Other Vacuums Region-Wide

What Happened

Pull the certificate off the flash of a Shark RV2320EDUS robot vacuum, and you can run root commands on other people's Shark vacuums across the same AWS region: watch the camera, drive the robot, read the map of the house, and take the Wi-Fi password in plaintext. A researcher publishing under the handle tokay0 put the method online on Monday, having tested it only against vacuums he

Why It Matters

The report says a researcher found an unpatched SharkNinja cloud flaw where a certificate taken from one Shark RV2320EDUS vacuum could be used to send root-level commands to other Shark vacuums in the same AWS region, including camera access, motion control, map reading, and plaintext Wi‑Fi password retrieval. The issue appears to be in SharkNinja’s AWS IoT policy and device-shadow command handling rather than the vacuum firmware, so remediation is server-side and owners are currently advised to disconnect the vacuums from Wi‑Fi. RealGround analysis: this is best classified as AI agent abuse because cloud-connected device control is being used to execute unauthorized actions across devices, creating a high-impact business-logic and authorization failure that warrants audit, secure-by-design controls, and red teaming.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to AI agent abuse. 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/2026/07/unpatched-shark-vacuum-flaw-could-let.html