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.

Keyfactor Scores $1 Billion+ Investment for AI, Post-Quantum Security

What Happened

The investment will accelerate Keyfactor's machine identity, PKI, and cryptographic security platform as enterprises prepare for AI-driven and post-quantum threats. The post Keyfactor Scores $1 Billion+ Investment for AI, Post-Quantum Security appeared first on SecurityWeek .

Why It Matters

The article reports that Keyfactor secured more than $1 billion in strategic growth investment to expand its machine identity, PKI, and cryptographic security platform for AI and post-quantum enterprise use cases.[1][4][5] It says the company aims to help organizations secure machine identities and roll out quantum-safe cryptography across digital infrastructure.[4][5] RealGround analysis: this is not an incident report, but it is relevant to AI supply chain risk because the platform supports cryptographic trust and identity controls for AI-related systems, which can affect resilience and governance across dependent enterprise environments.

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/keyfactor-scores-1-billion-investment-for-ai-post-quantum-security/