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.

Critical Gitea RCE Actively Exploited as Reported Attack Drops Miner-Like Payload

What Happened

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday warned of active exploitation efforts targeting a recently patched critical security flaw impacting Gitea. The vulnerability in question is CVE-2026-60004 (CVSS score: 9.8), a case of remote code execution that allows an attacker with ordinary write access to a repository to execute arbitrary shell commands as the

Why It Matters

The report says CISA warned that CVE-2026-60004 in Gitea is being actively exploited and that the flaw enables remote code execution through ordinary repository write access. This is a factual software security incident affecting a development platform, not an AI-specific exploit. RealGround analysis: because source-code hosting and software delivery systems are part of the broader AI supply chain, this kind of compromise can create downstream risk for AI projects that depend on affected repositories, builds, or deployment workflows.

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/critical-gitea-rce-actively-exploited.html