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.

2026-09-30 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

OpenAI lists GPT-6 Sol and Luna releases

Open

OpenAI’s research release page lists GPT-6 Sol and Luna as models designed to balance frontier capability and cost. The same page also highlights GPT-5.6 as a model intended to scale with user requirements.

Why it matters Builders should assess capability-per-dollar and workload fit rather than treating frontier performance as a single dimension.

OpenAI

Frontier labs reportedly accelerate release cadence

Open

AI Intel Report says Anthropic, OpenAI, and xAI shipped four models across two days, with emphasis on efficiency and safety controls. The search result does not provide a complete model-by-model breakdown.

Why it matters Rapid release cycles increase the need for evaluation harnesses, version pinning, and regression testing before production adoption.

AI Intel Report

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.

2 signals

OWASP reports agent and model-application incidents in Q1 2026

Open

OWASP’s Q1 exploit roundup lists a Claude-assisted attack workflow, an OpenClaw inbox-deletion incident, a Meta internal AI-agent data leak, and a Claude Code source-leak and malware-lure campaign. It also references CVE-2025-59528, described as remote code execution through custom MCP configuration.

Why it matters Security leaders should treat agent tools, inboxes, source repositories, MCP configuration, and internal data as connected attack surfaces.

OWASP GenAI Security Project

Microsoft maps the agentic attack surface to ten risk classes

Open

Microsoft’s overview of the OWASP Top 10 for Agentic Applications identifies risks including goal hijacking, tool misuse, identity and privilege abuse, agentic supply-chain vulnerabilities, unexpected code execution, memory poisoning, and cascading failures. The framework focuses on systems that use real identities, data access, and tools across workflows.

Why it matters Agent deployments need controls for delegated identity, tool authorization, untrusted content, memory integrity, and cross-agent failure propagation.

Microsoft Security

OWASP And Web Risk

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

2 signals

OWASP emphasizes excessive agency alongside prompt injection

Open

A CSO Online report on OWASP’s updated LLM-vulnerability list says prompt injection and sensitive-information disclosure remain leading threats, while excessive agency has risen to third place. The report describes excessive agency as excessive functionality, permissions, or insufficient oversight that lets an LLM act beyond permitted bounds.

Why it matters API and web-application authorization must be enforced outside the model, with least privilege and explicit approval for high-impact actions.

CSO Online

OWASP maintains dedicated guidance for LLM and agentic applications

Open

OWASP’s GenAI Security Project describes its LLM and GenAI Top 10 as a community-driven effort covering critical risks in LLM, generative-AI, and agentic systems. Its agentic-applications initiative provides a shared language for risks and mitigations across autonomous workflows.

Why it matters Teams can use the OWASP taxonomies as a common baseline for threat modeling, security testing, and control ownership.

OWASP GenAI Security Project

Builder Tools

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

1 signals

OpenClaw appears in OWASP’s incident roundup

Open

OWASP lists an OpenClaw inbox-deletion incident among its Q1 2026 exploit examples. The available result does not provide technical details about the root cause, affected deployment, or remediation.

Why it matters Builders using autonomous inbox or workflow tools should isolate credentials, constrain destructive actions, and require confirmation for irreversible operations.

OWASP GenAI Security Project