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.

Daily AI Operating Brief

Morning Brief

A daily operating brief for AI builders and security leaders covering frontier and open-source models, expert commentary, AI security incidents, OWASP-relevant risks, and fast-moving developer tooling.

2026-10-15 5 sections 19 watch terms

JSON Discuss Signals

AI Models

Frontier lab releases, open-source checkpoints, multimodal systems, inference stacks, and model capability shifts.

2 signals

The Verge: Google and Meta re-enter the frontier-model race

Open

Google reportedly released Gemini 4 Argon, while Meta unveiled Muse Wonder Full. Both companies claim benchmark performance competitive with leading OpenAI and Anthropic models.[2]

Why it matters Builders should re-evaluate model routing, benchmark assumptions, and vendor concentration as frontier competition broadens.

The Verge

Mistral Large 4 enters public preview

Open

Mistral Large 4 is reported as a flagship API preview with a roughly 1-million-token context window; open weights are reportedly planned later in the month.[3]

Why it matters Long-context and potential open-weight availability could affect enterprise retrieval, code analysis, and self-hosted inference planning.

The Durability Curve

Expert Signal

Posts, podcasts, interviews, and public remarks from leading AI builders and lab executives.

0 signals

AI Security

New vulnerabilities, exploit writeups, agent abuse patterns, jailbreaks, model theft, data leakage, and supply-chain risk.

1 signals

CSO Online: Excessive agency rises in OWASP’s LLM risk ranking

Open

OWASP’s updated list continues to identify prompt injection and sensitive-information disclosure as leading risks. Excessive agency is highlighted as a major threat as systems gain the ability to call APIs and execute actions.[7]

Why it matters Security programs should constrain tool permissions, require approval boundaries, and log agent actions rather than treating model output as the only control point.

CSO Online

OWASP And Web Risk

OWASP Top 10 coverage for LLMs, agentic systems, APIs, and web application security.

1 signals

OWASP: 2026 Top 10 for LLM Applications

Open

OWASP describes its 2026 Top 10 as a community-driven guide to critical risks in LLM and agentic applications. The initiative focuses on raising awareness across generative-AI and emerging agentic systems.[4]

Why it matters Teams should use the current OWASP categories to structure threat modeling, authorization reviews, and security testing for AI features.

OWASP GenAI Security Project

Builder Tools

Vibe coding, OpenClaw, Hermes, coding agents, local dev workflows, and AI engineering tools worth watching.

0 signals