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.

China-Aligned TA419 Targets U.S. AI Policy Experts With Microsoft AitM Phishing

What Happened

A new China-nexus cyber espionage group known as TA419 has been attributed to multiple credential phishing campaigns targeting artificial intelligence (AI) experts working for U.S. think tanks, universities, and legal sector organizations. The campaigns have impersonated prominent economists and AI policymakers, as well as a prominent Anthropic employee, to single out an AI policy expert at a

Why It Matters

The report describes TA419 credential-phishing campaigns targeting U.S. AI policy experts through impersonation, counterfeit Microsoft sign-in pages, and adversary-in-the-middle phishing that can capture Microsoft 365 credentials, MFA codes, and session cookies. The activity is aimed at accessing communications and sensitive policy-related information rather than attacking an AI model directly. RealGround analysis: organizations employing AI policy, research, or legal personnel should assess identity protections, phishing-resistant MFA, session-cookie defenses, SaaS access controls, and incident-response readiness to reduce data-leakage risk.

Healthcare Fintech SaaS SMB AI startups

RealGround Analysis

This signal maps to data leakage. 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/2026/10/china-aligned-ta419-targets-us-ai.html