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.

Atlassian Patches Critical Vulnerability Affecting 8 Products

What Happened

Unauthenticated attackers could exploit the flaw to access specific files in the web application root directory. The post Atlassian Patches Critical Vulnerability Affecting 8 Products appeared first on SecurityWeek .

Why It Matters

SecurityWeek reports that CVE-2026-21589 is a critical arbitrary-file-access vulnerability affecting eight Atlassian Data Center products. Unauthenticated attackers could access specific files in an affected web application’s root directory, although exploitation requires knowledge of the exact file path and does not permit directory enumeration. The report does not identify an AI-specific exploit; RealGround analysis is that organizations using these products to support AI workflows should assess exposure, patch status, sensitive-file handling, and dependencies as part of broader SaaS and supply-chain security readiness.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to SaaS 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/atlassian-patches-critical-vulnerability-affecting-8-products/