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.

Flaw in Adobe Extension With 300M Installs Enabled WhatsApp Data Theft

What Happened

An attacker only needed to convince the targeted user to visit a malicious website to exfiltrate WhatsApp messages and contacts. The post Flaw in Adobe Extension With 300M Installs Enabled WhatsApp Data Theft appeared first on SecurityWeek .

Why It Matters

The article reports that a UXSS-class vulnerability (CVE-2026-48294), dubbed HermeticReader, in the Adobe Acrobat Chrome extension with roughly 300M installs allowed any attacker-controlled webpage to silently exfiltrate WhatsApp Web chats, contacts, and profile information when a user visited a malicious site.[3][1] Adobe has patched the flaw in newer extension versions after disclosure by Guardio researchers.[3][1] From a RealGround perspective, this illustrates a critical browser-extension supply chain risk: widely deployed third-party components can become a high-impact data leakage vector for web apps and AI-assisted tools that rely on browser sessions. Organizations should inventory and govern browser extensions in their environment, align extension use with an SBOM-style approach, and incorporate extension-origin data exposure scenarios into AI and web-application threat models.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to data leakage. 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/flaw-in-adobe-extension-with-300m-installs-enabled-whatsapp-data-theft/