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.

What It Took to Reach 1 Billion Build Manifests

What Happened

In the last six months, Chainguard doubled its output from 500 million to more than 1 billion container build manifests. We also surpassed 3,000 unique container images and 675,000 image versions in our catalog. Those are the headline numbers, but I want to share what's actually behind them. The number itself is less interesting than the system that produced it, and why we had to fundamentally

Why It Matters

The article says Chainguard doubled its output from 500 million to more than 1 billion container build manifests in six months and expanded its catalog to more than 3,000 unique container images and 675,000 image versions. These are reported operational scale metrics about software/container artifact production, not allegations of an exploit or breach. RealGround relevance is primarily supply-chain security: large-scale build and image generation increases the importance of provenance, artifact integrity, dependency tracking, and review controls across the AI/software delivery pipeline.

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/what-it-took-to-reach-1-billion-build.html