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 Cisco Nexus 9000 Flaw Lets Unauthenticated Remote Attackers Run Code as Root

What Happened

Cisco has released patches to address a critical security flaw affecting 10 Silicon One-based Nexus 9000 switches that could allow an unauthenticated, remote attacker to execute code as root, alongside an IOS XR hardening release bundling 7 umbrella CVEs, 2 of which are rated 9.8, with no workaround for any IOS XR version. The Nexus vulnerability, tracked as CVE-2026-20212 (CVSS score: 9.8), is

Why It Matters

Report facts: Cisco disclosed a critical remote code execution vulnerability (CVE-2026-20212, CVSS 9.8) in Silicon One-based Nexus 9000 switches that allows unauthenticated attackers to run code as root, and released an IOS XR hardening update aggregating multiple high-severity CVEs with no available workarounds noted. These flaws affect core network infrastructure that many organizations rely on as part of the runtime environment for AI systems and data flows. RealGround analysis: Such critical bugs in networking firmware represent AI supply chain risk, because compromise of switches and routers can enable traffic interception, tampering, or lateral movement that undermines the integrity and confidentiality of AI workloads. Organizations should treat network appliances as part of their AI supply chain, maintain SBOMs for infrastructure components, and include these platforms in AI security readiness and patch management programs to prevent downstream impact on AI agents and data pipelines.

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://thehackernews.com/2026/09/critical-cisco-nexus-9000-flaw-lets.html