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 Data Center Flaw Draws Exploitation Attempts Within Two Hours of Public Details

What Happened

Threat actors have begun to exploit a newly disclosed critical security flaw impacting Atlassian Data Center products that could allow access to sensitive files under certain conditions. The arbitrary file access flaw, tracked as CVE-2026-21589 (CVSS score: 9.3) affects multiple products, including Bitbucket Data Center, Confluence Data Center, Jira Service Management Data Center, Jira Software

Why It Matters

The report describes active exploitation attempts against CVE-2026-21589, a critical unauthenticated arbitrary file-access flaw affecting multiple self-managed Atlassian Data Center products. Successful exploitation may expose specific files when an attacker knows the exact path; the reported activity is a conventional SaaS and application-security issue, not an AI-specific attack. RealGround analysis: organizations embedding AI agents or AI workflows in affected Atlassian environments should assess whether exposed files could contain prompts, credentials, business logic, or other AI-related data.

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://thehackernews.com/2026/10/atlassian-data-center-flaw-draws.html