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.

Claude Opus 5 Helped Researchers Take Over OpenAI Staff Accounts via Chained Flaws

What Happened

Three researchers at the security firm Hacktron used Anthropic's Claude Opus 5 to chain two flaws and take over the ChatGPT and Codex accounts of several OpenAI employees, then reach an internal OpenAI code repository. The chain began with a bug in the software that runs OpenAI's public help forum and moved through a weakness in OpenAI's own login system. This was security research,

Why It Matters

Fact: Researchers at Hacktron used Anthropic's Claude Opus 5 to help chain two vulnerabilities—one in OpenAI’s public help forum software and another in OpenAI’s login system—to compromise ChatGPT and Codex accounts of several OpenAI employees and reach an internal code repository. Fact: The incident was conducted as security research, demonstrating how AI tools can be leveraged to discover and exploit complex, multi‑step weaknesses in an AI provider’s broader SaaS and identity infrastructure. RealGround analysis: This highlights AI supply chain risk, where third‑party platforms, support forums, and identity systems around AI products become a critical attack surface that can be systematically probed and chained using powerful models. RealGround analysis: Organizations operating AI systems should treat all surrounding web apps, auth flows, and internal repos as part of their AI attack surface, and apply continuous red teaming plus formal supply‑chain and SBOM oversight to identify and fix chained vulnerabilities before they are exploitable.

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/2026/09/claude-opus-5-helped-researchers-take.html