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.

Securing Claude Code: The New Compliance API, Local Visibility, and Identity Governance

What Happened

Claude Code reads files, runs shell commands, invokes MCP tools, and acts through the credentials available on a developer’s machine. Anthropic’s new Compliance API endpoints give security teams their clearest view yet into that activity. They also expose a larger problem: activity logs alone cannot tell you whether an agent’s access is legitimate. AI has moved from the browser tab to the

Why It Matters

The article describes Anthropic’s new Compliance API for Claude Code, which gives security teams detailed visibility into how the AI agent reads files, runs shell commands, invokes MCP tools, and uses the credentials available on a developer’s machine. It also reports that these logs expose a broader governance issue: telemetry alone cannot determine whether an agent’s access or actions are legitimate. From a RealGround perspective, this highlights the need for organizations to pair technical logging with clear access policies, identity governance controls, and defined decision boundaries for AI agents. Aligning these controls through an AI Security Readiness Assessment can help ensure Claude Code and similar tools operate within compliant, least-privilege, and auditable frameworks.

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://thehackernews.com/2026/08/securing-claude-code-new-compliance-api.html