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.

Exploitation Hits Rejetto HFS Vulnerability Discovered by AI

What Happened

CVE-2026-61500 allows attackers to recover the session-cookie signing key and gain administrative access and RCE. The post Exploitation Hits Rejetto HFS Vulnerability Discovered by AI appeared first on SecurityWeek .

Why It Matters

SecurityWeek reports that CVE-2026-61500 in Rejetto HFS was discovered with assistance from Anthropic’s Mythos AI model and is being actively exploited. Attackers can recover the session-cookie signing key, forge administrator sessions, and achieve remote code execution; HFS 3.2.1 contains the fix. RealGround analysis: the primary AI relevance is the security and governance risk of AI-assisted vulnerability discovery entering the software supply chain, while the underlying exploit is a conventional application-security flaw.

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/exploitation-hits-rejetto-hfs-vulnerability-discovered-by-ai/