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.

Microsoft Bug Bounty Program: $20 Million Paid to 500 Researchers

What Happened

The biggest single reward paid out by Microsoft between July 1, 2025, and June 30, 2026, was $200,000. The post Microsoft Bug Bounty Program: $20 Million Paid to 500 Researchers appeared first on SecurityWeek .

Why It Matters

The article reports that Microsoft paid $20 million to 500 researchers through its bug bounty program, with the largest single award at $200,000. Microsoft’s bounty programs are designed to reward coordinated vulnerability disclosure and have explicit rules, scope, and reporting requirements. RealGround analysis: this is not an AI-specific incident, but it is relevant as a governance signal because organizations running AI-enabled products should maintain clear bounty intake, disclosure, and remediation processes to manage security research safely.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to compliance / governance. 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/microsoft-bug-bounty-program-20-million-paid-to-500-researchers/