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.

Kimwolf v7 Android Botnet Makes HTTP/2 DDoS Traffic Look Like Legitimate Browsing

What Happened

Cybersecurity researchers have discovered a new version of the Kimwolf/AISURU Android and Internet of Things (IoT) botnet that comes with significant improvements to improve its operational resilience and conduct distributed denial-of-service (DDoS) attacks. The new version, tracked as Kimwolf v7, was discovered by Palo Alto Networks Unit 42 in February 2026. "Kimwolf v7 adds an HTTP/2-based

Why It Matters

The article reports on Kimwolf v7, an Android and IoT botnet that adds HTTP/2 DDoS flooding with full browser fingerprint emulation, making attack traffic harder to distinguish from normal browsing. It also describes resilient command-and-control features, including Ethereum Name Service lookups, Tor fallback infrastructure, and a local proxy architecture. RealGround analysis: this is not an AI-specific incident, but it is relevant as advanced malicious automation that can inform adversarial testing, detection-readiness, and resilience planning for security teams.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to malicious AI use. 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/2026/08/kimwolf-v7-android-botnet-makes-http2.html