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.

BIND 9 Update Fixes 14 Flaws, Including an Unauthenticated Crash Over DNS-over-HTTPS

What Happened

The Internet Systems Consortium (ISC) has released BIND 9.20.29 and 9.21.26 to fix fourteen security flaws it disclosed on 16 September in BIND 9, its open-source DNS server software. One of them affects any BIND server that answers DNS-over-HTTPS (DoH). A sender with no credentials can crash the server process, named, with a single request that carries an invalid SIG

Why It Matters

Report facts: ISC released BIND 9.20.29 and 9.21.26 to address fourteen security flaws in its open-source DNS server, including a vulnerability where an unauthenticated sender can crash a DNS-over-HTTPS (DoH) answering server with a single malformed request. This is a traditional software security issue in a widely used network component, not an AI model vulnerability, but it can affect infrastructure that AI systems depend on. RealGround analysis: AI agents and applications that rely on DNS and DoH for service discovery, API calls, or model hosting can be indirectly disrupted or steered if their underlying DNS infrastructure is vulnerable, making secure dependency management and SBOM-based supply chain review critical. Organizations should ensure timely patching of BIND in environments that support AI workloads, and include core network services in their AI supply chain risk assessments to prevent availability and integrity impacts on AI systems.

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/bind-9-update-fixes-14-flaws-including.html