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 Leaked GitLab Issue Email Address Lets Anyone Push Code and Run CI Jobs as You

What Happened

The private email address GitLab gives you for filing issues by email is a credential. Anyone who gets it can email a patch that GitLab commits in your name, to any branch you can push to, including main, and can start CI/CD jobs that run as you. GitLab shows each user this address behind a button labeled "Email work item to this project." Mail sent to it opens an issue in that project, authored

Why It Matters

The report states that anyone obtaining GitLab’s private issue-by-email address can submit patches that GitLab commits under the account owner’s identity, potentially to branches the user can access, and can trigger CI/CD jobs by modifying configuration. For AI-enabled software pipelines, this creates a supply-chain compromise path that could alter code, build artifacts, or deployment workflows; RealGround analysis recommends reviewing credential-like developer tooling, CI/CD permissions, secret exposure, and monitoring controls.

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/a-leaked-gitlab-issue-email-address.html