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.

Chipmaker Patch Tuesday: Intel, AMD Fix Over 80 Vulnerabilities Combined

What Happened

Intel has informed customers about several high-severity vulnerabilities that can lead to privilege escalation and even code execution. The post Chipmaker Patch Tuesday: Intel, AMD Fix Over 80 Vulnerabilities Combined appeared first on SecurityWeek .

Why It Matters

SecurityWeek reports that Intel and AMD collectively patched more than 80 vulnerabilities, including high-severity flaws that could enable privilege escalation, denial of service, information disclosure, and local code execution[5]. Intel’s fixes span processors, firmware, drivers, and several AI/ML-related tools and runtimes, while AMD’s advisories include issues in development and firmware components[5]. RealGround analysis: this is not an AI-specific attack report, but it is relevant to AI infrastructure because chip, firmware, and driver vulnerabilities can undermine the trusted hardware and software base that AI systems depend on, so supply-chain and platform verification are the most appropriate concerns.

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/chipmaker-patch-tuesday-intel-amd-fix-over-80-vulnerabilities-combined/