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.

Hackers Start Exploiting Recent JetBrains TeamCity Vulnerability

What Happened

Tracked as CVE-2026-63077, the critical bug can be exploited without authentication for remote code execution. The post Hackers Start Exploiting Recent JetBrains TeamCity Vulnerability appeared first on SecurityWeek .

Why It Matters

SecurityWeek reports that CVE-2026-63077 is a critical unauthenticated remote code execution vulnerability in JetBrains TeamCity on‑prem servers, exploitable via the agent polling protocol and already being leveraged by attackers in the wild.[1][2][3][5] JetBrains states that successful exploitation allows arbitrary OS command execution with the TeamCity server’s privileges, potentially compromising CI/CD pipelines, build artifacts, stored credentials, and downstream systems.[1][3] From a RealGround perspective, any AI development or deployment pipelines that rely on TeamCity for building, testing, or packaging AI models, agents, or supporting services are part of the AI supply chain and can be tampered with to inject backdoors, alter model binaries, or modify configuration used by AI agents. Organizations should treat vulnerable TeamCity instances as a high‑risk AI supply chain exposure, immediately patch to fixed versions, validate integrity of recent builds, and incorporate TeamCity into SBOM, dependency, and CI/CD security reviews.

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/hackers-start-exploiting-recent-jetbrains-teamcity-vulnerability/