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.

GitHub Tightens npm Publishing After Flaw Left 1,500+ Packages Vulnerable to Hijacking

What Happened

GitHub has taken the step of expiring unvalidated npm trusted publishing configurations 48 hours after creation after researchers found that it was possible for an attacker to push new versions of a different user's package without having to steal their credentials. "Your configuration becomes validated and exempt from expiry after its first successful publish," the Microsoft-owned subsidiary

Why It Matters

GitHub is expiring unvalidated npm trusted-publishing configurations 48 hours after creation following a flaw that could let attackers publish new versions of another user’s package without stealing credentials. The report states that configurations become exempt after their first successful publish. For organizations using npm dependencies in AI systems, this highlights software supply-chain and package-integrity risks; validating publishing workflows, reviewing dependency provenance, and monitoring package changes can reduce exposure.

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/2026/10/github-tightens-npm-publishing-after.html