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.

2026-10-13 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

Meta unveils Muse Wonder frontier-model family

Open

Meta announced Muse Wonder and Muse Wonder Full, positioning them for agentic work, memory, and coding. Muse Wonder is available through Meta’s Model API, while Muse Wonder Full is offered through Muse Code subscriptions.[1]

Why it matters Builders should evaluate the models’ agentic capabilities, context limits, pricing, and API controls before adding another frontier provider.

Axios

OpenAI announces GPT-6 Sol and Luna

Open

OpenAI introduced GPT-6 Sol and Luna as models with different capability and cost trade-offs for everyday work. The release page also highlights GPT-5.6 as a higher-capability, cost-scaled option.[10]

Why it matters Teams should reassess model routing and cost-performance assumptions as frontier vendors expand differentiated model tiers.

OpenAI

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.

0 signals

OWASP And Web Risk

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

2 signals

OWASP publishes Top 10 for Agentic Applications

Open

OWASP introduced a community framework focused on securing autonomous, tool-using AI systems. The project describes the framework as a benchmark for agentic application security.[4]

Why it matters Security leaders should map agent permissions, tool calls, approval gates, and monitoring controls against agent-specific risks.

OWASP GenAI Security Project

OWASP updates LLM and GenAI security guidance

Open

OWASP identifies its 2026 LLM Applications guidance as the latest community-driven guide to major risks in LLM-powered applications. Its crosswalk connects GenAI risks with established security, governance, and compliance frameworks.[5][6]

Why it matters Organizations can use the guidance to align AI application threat models with existing security and compliance programs.

OWASP GenAI Security Project

Builder Tools

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

0 signals