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.

One Attacker Has Scraped Both Salesforce and ServiceNow Portals Since 2025

What Happened

A single piece of infrastructure has been pulling records out of Salesforce and ServiceNow customer portals across multiple industries for more than a year, according to research published this week by agent security platform Reco. The activity, which Reco has named the City Forum campaign after a domain tied to the attacker's IP address, traces back to one server: 158.220.87.79, hosted on a

Why It Matters

According to the report, researchers at Reco identified a single attacker infrastructure (City Forum campaign) using one server to scrape records from Salesforce and ServiceNow customer portals across multiple industries over more than a year. These portals increasingly integrate AI-powered assistants, automation, and data pipelines that can expose sensitive operational and customer data when compromised. From RealGround’s perspective, this highlights the need to treat SaaS platforms like Salesforce and ServiceNow as part of the AI attack surface, ensuring that any embedded AI agents or workflows are built with strong access controls, monitoring, and least-privilege configurations. Organizations should regularly assess SaaS and AI integrations for data exfiltration paths and harden both human and AI-driven access to these systems.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to SaaS AI risk. 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/one-attacker-has-scraped-both.html