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.

AI Security Threat Analysis - Black Hat USA 2026 – Summary of Vendor Announcements (Part 4)

What Happened

Companies are showcasing their products and services this week at the 2026 edition of the Black Hat conference in Las Vegas. The post Black Hat USA 2026 – Summary of Vendor Announcements (Part 4) appeared first on SecurityWeek .

Why It Matters

SecurityWeek’s Black Hat USA 2026 vendor roundup says RapidFort launched RapidFort Runtime, a real-time security solution that extends its platform with curated open source software, continuous CVE monitoring, and tamper detection in live production environments.[1] The report also notes other Black Hat vendor announcements, including AI-powered pentesting and third-party risk tools, but the RapidFort item is the clearest supply-chain-related disclosure.[1][3][5] RealGround analysis: this is primarily an AI supply-chain and software integrity exposure because it centers on curated dependencies, vulnerability monitoring, and tamper detection rather than direct model behavior; teams should assess dependency provenance, SBOM coverage, and runtime integrity controls.

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://www.securityweek.com/black-hat-usa-2026-summary-of-vendor-announcements-part-4/