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.

Bitget Says Attacker Exploited Third-Party Security Product Flaw to Steal $388M

What Happened

The attacker who stole about $388 million from the cryptocurrency exchange Bitget gained access through a vulnerability in a third-party security product the exchange used, Bitget said on Monday. The attacker exploited the flaw to obtain high-level internal credentials and then, on September 24, used them to send fraudulent withdrawal commands to Bitget's wallet system. Exchanges keep most

Why It Matters

Bitget reported that an attacker exploited a vulnerability in a third-party security product to obtain high-level internal credentials and issue fraudulent withdrawal commands, causing approximately $388 million in unauthorized transfers. The incident concerns a compromised third-party security component and credential-controlled financial workflows, but the report does not establish that the product or attack involved artificial intelligence. RealGround analysis: organizations should inventory and assess third-party security dependencies, enforce least-privilege access, and apply independent verification and monitoring to high-impact transactions.

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/bitget-says-attacker-exploited-third.html