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.

Critical Orkes Conductor Vulnerability Exploited in Attacks

What Happened

CVE-2026-58138 is an unauthenticated remote code execution vulnerability that attackers can exploit via inline workflow definitions. The post Critical Orkes Conductor Vulnerability Exploited in Attacks appeared first on SecurityWeek .

Why It Matters

Report facts: The article describes CVE-2026-58138, an unauthenticated remote code execution vulnerability in Orkes Conductor that can be exploited via inline workflow definitions, and notes it is already being used in attacks. RealGround analysis: Because workflow orchestration platforms are often used to coordinate AI and software services, an RCE flaw in this component represents an AI supply chain exposure where compromise of the orchestrator can cascade into dependent models and agents. Organizations should treat this as a critical third‑party platform risk, ensure rapid patching and configuration reviews, and incorporate orchestrators like Orkes Conductor into SBOM-based asset tracking and continuous red teaming focused on exposed workflow surfaces.

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/critical-orkes-conductor-vulnerability-exploited-in-attacks/