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.

How a $50,000 Exploit Chain Turned Bixby Against Samsung Phones

What Happened

The chain involved the exploitation of several vulnerabilities in the Samsung Members and Samsung Account applications. The post How a $50,000 Exploit Chain Turned Bixby Against Samsung Phones appeared first on SecurityWeek .

Why It Matters

The article describes a $50,000 exploit chain demonstrated at Pwn2Own/Black Hat where researchers chained multiple vulnerabilities in Samsung Members (CVE-2025-21079) and Samsung Account (CVE-2025-58486, CVE-2025-58487) to ultimately abuse Bixby, Samsung’s virtual assistant, for remote system-level compromise on Galaxy devices.[1][2] This chain allowed an attacker, starting from a malicious link, to pivot across trusted Samsung apps and then use Bixby’s automation capabilities to exfiltrate sensitive data and gain highest-privilege code execution on stock consumer phones.[1][2] From a RealGround perspective, this is a clear case of AI agent abuse: a voice assistant and its surrounding ecosystem were turned into a high-privilege attack substrate, illustrating how complex agent-like automation (capsules, account integrations, app handoffs) can be subverted if authorization boundaries and cross-app trust flows are weak. Practically, similar AI agents and digital assistants should be designed and tested with least-privilege automation, hardened inter-app communication, and continuous red teaming of agent workflows, not just individual CVEs, to prevent exploit chains that weaponize AI-d

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://www.securityweek.com/how-a-50000-exploit-chain-turned-bixby-against-samsung-phones/