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.

ICS Patch Tuesday: Schneider Electric, Siemens Fix Critical Flaws

What Happened

AVEVA and Rockwell Automation also released patches for vulnerabilities affecting industrial control system products. The post ICS Patch Tuesday: Schneider Electric, Siemens Fix Critical Flaws appeared first on SecurityWeek .

Why It Matters

Report fact: this article is about ICS vendors Schneider Electric, Siemens, AVEVA, and Rockwell Automation releasing patches for critical industrial control system vulnerabilities. It does not mention AI systems, model behavior, or AI-specific compromise. RealGround analysis: the closest fit is AI supply chain because it concerns third-party software and patch management risk, but the AI relevance is low; the main security implication is to maintain asset inventory, timely patching, and dependency/SBOM visibility for any AI-enabled industrial environments.

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://www.securityweek.com/ics-patch-tuesday-schneider-electric-siemens-fix-critical-flaws/