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.

Chrome DevTools Technique Enables Authenticated Session Hijacking in Live Windows Browsers

What Happened

Cybersecurity researchers have detailed a post-exploitation technique that enables the Chrome DevTools Protocol (CDP) inside a running Google Chrome or Microsoft Edge process on Windows, allowing an operator to access cookies, saved data, and authenticated browser sessions. The technique assumes that an operator already has code execution on the Windows host and does not involve

Why It Matters

The article describes a post-exploitation technique that abuses the Chrome DevTools Protocol (CDP) in live Chrome/Edge processes on Windows to access cookies, saved data, and authenticated browser sessions, assuming the attacker already has code execution on the host. This is a general browser/session-hijacking technique, not AI-specific, but any AI agents or web-based AI workflows that rely on browser sessions, cookies, or OAuth tokens could have their authentication data exposed and abused. From a RealGround perspective, this highlights the need to design AI agents and integrations so that browser-based tokens and cookies are minimized, compartmentalized, and rotated, and to include desktop/browser compromise scenarios in threat models. It also supports the value of continuous red teaming to test how AI agent implementations behave when underlying browser sessions are hijacked and whether sensitive AI-related data or capabilities can be escalated from such access.

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://thehackernews.com/2026/08/chrome-devtools-technique-enables.html