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.

AI Security Threat Analysis - New Index Tracks Material Breaches

What Happened

Longtime cybersecurity executive Richard Bird built the resource for security experts, journalists, policymakers, and everyday citizens. The post New Index Tracks Material Breaches — And Refuses to Add Up the Losses appeared first on SecurityWeek .

Why It Matters

The article describes a new index for tracking material breaches, built by longtime cybersecurity executive Richard Bird, and says it is intended for security experts, journalists, policymakers, and the general public. RealGround analysis: this is primarily a governance and reporting-oriented initiative rather than evidence of a direct technical attack, so the main security relevance is how organizations classify, disclose, and communicate breach impact. The practical implication is that teams may need clearer breach-reporting policies and executive oversight to align internal incident handling with external disclosure expectations.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to compliance / governance. 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/new-index-tracks-material-breaches-and-refuses-to-add-up-the-losses/