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.

A Malicious SIM Card Can Run Attacker Code Inside the Modems Behind Cellular IoT Devices

What Happened

A malicious SIM card can order the device it sits in to run commands of the attacker's choosing. On the cellular modules built into electric-vehicle chargers, industrial routers, and car telematics units, that is enough to take the whole device over. Researchers at the University of Birmingham and the security firm Fuzzware tested 26 phones and cellular modules for the capability, found it

Why It Matters

The report says researchers showed that a malicious or compromised SIM card can use exposed SIM Toolkit/Proactive SIM interfaces to send commands into a device modem, affecting some phones and cellular IoT modules; they tested 26 devices and found the capability enabled in 9, including a real-world EV charger demo. The article also states the issue is tracked as CVE-2026-57550 / CVD-2026-0122 and can lead to actions such as command execution, data exposure, downgrade attacks, denial of service, and disabling cellular connectivity. RealGround analysis: this is best classified as an AI supply chain risk only if the affected cellular modules, SIM/eSIM provisioning, or device management layer is part of an AI-enabled product stack; otherwise it is primarily a cellular/IoT embedded-security issue rather than an AI-specific one.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to AI supply chain. 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/a-malicious-sim-card-can-run-attacker.html