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.

Only 13% of OT Network Segments Are Fully Isolated: Analysis

What Happened

Forescout’s new network segmentation research shows that OT and medical devices often share network segments with other enterprise assets. The post Only 13% of OT Network Segments Are Fully Isolated: Analysis appeared first on SecurityWeek .

Why It Matters

Forescout analyzed 47,700 network segments across 209 organizations and found that only 13% of segments containing OT devices were OT-only; just 6% of segments containing medical devices were dedicated solely to IoMT. The research indicates that OT and medical devices frequently share segments with IT and IoT assets, increasing potential lateral-movement and containment risks. RealGround analysis: this is primarily a general network-security issue rather than an AI-specific threat, but the healthcare-device exposure is relevant to healthcare AI environments where connected medical systems may support or exchange data with AI-enabled services.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to healthcare AI risk. 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/only-13-of-ot-network-segments-are-fully-isolated-analysis/