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.

Microsoft Patches 18 Vulnerabilities in AI, Cloud Products

What Happened

Microsoft fixed vulnerabilities across Azure and AI-branded products, with privilege escalation flaws accounting for the majority. The post Microsoft Patches 18 Vulnerabilities in AI, Cloud Products appeared first on SecurityWeek .

Why It Matters

Fact: Microsoft patched 18 vulnerabilities across Azure and AI-branded products, with most issues related to privilege escalation, indicating weaknesses in how identities and permissions are enforced in cloud and AI services. Fact: These flaws, once disclosed and fixed, highlight ongoing risks in the underlying platforms that host and deliver AI capabilities, but the article does not describe any active exploitation or specific AI model compromise. RealGround analysis: For organizations building on Azure or Microsoft AI services, these patches underscore the need for continuous monitoring of AI supply chain dependencies, timely patch management, and threat modeling of identity and privilege boundaries in hosted AI workloads. RealGround analysis: Applying AI-focused SBOM practices, regular red teaming, and readiness assessments can help detect similar platform-level weaknesses and reduce the blast radius if cloud or AI service vulnerabilities are exposed in the future.

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/microsoft-patches-18-vulnerabilities-in-ai-cloud-products/