The Real Security Story Behind the First Reported Agentic Ransomware
JadePuffer shows why the key agentic ransomware risk is control-plane compression: agents can observe, diagnose, retry, and continue destructive workflows at runtime.
GenseeAI Technical Blogs
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AP-001: Multi-Step Data Exfiltration in AI Coding Agents
AP-001 explains how retrieval, synthesis, recomposition, and outbound sharing can turn normal coding-agent actions into workflow-level data exfiltration.
Claude Code Prompt Steganography Shows Why Agent Security Needs Runtime Evidence
A newly revealed Claude Code prompt-steganography issue shows why coding-agent trust needs runtime evidence, attribution, provenance, and deeper host-level controls.
What Is Agent Defense and Response? A Practical Guide to AI Agent Security
Agent Defense and Response explained for developers, founders, and small teams: permissions, prompt injection, tool misuse, least privilege, logs, and recovery.
Claude Fable 5 Shows Why AI Agent Security Is Becoming Runtime Security
Claude Fable 5 is a reminder that agent security is moving beyond prompts into runtime visibility, attribution, process lineage, tool execution, and long-horizon provenance.
Open-Sourcing Gensee Crate
Runtime safety for coding agents that goes deeper into system events, tool calls, skills, and memory, and longer across requests and sessions where risk emerges as a chain.
AI Agent Safety Ecosystem Map
A practical map of the AI agent safety stack: where agentic systems create risk, which layers reduce that risk, and why runtime control becomes the missing layer as agents start taking real actions.
Automating a Real Insurance Receipt Workflow with GenseeAI
An ALE insurance claim with ~100 messy HEIC and JPG meal receipts, a ClaimXperience portal with no bulk upload, and browser security that blocked local automation. Here's how GenseeAI's cloud Hermes Agent drove the portal end to end — vision extraction, CDP file uploads, exception handling, and final reconciliation.
Memory Poisoning Attacks on Long-Horizon AI Agents
As AI agents gain persistent memory across sessions, attackers have found a new vulnerability: memory poisoning. Learn what it is, real attack examples including credential harvesting and slow trust exploits, and defense strategies for security teams.
Multi-Session Agent Safety: When Persistent Memory Goes Wrong
Beyond security attacks, long-horizon AI agents face safety challenges from accidental failures: context drift, state inconsistency, session boundary confusion, and cascade failures. Here's how to design safer multi-session experiences with recovery patterns and UX guardrails.
Beyond prompt injection: Meta's Instagram AI exploit and CVE-2026-2256
Two recent incidents — Meta's AI-powered Instagram support exploit and CVE-2026-2256 in ModelScope's ms-agent — show that AI agent security is a cross-layer execution problem. Defense in depth, real-time safeguards, prevention before execution, and rollback are what work.
AI Agent Security: Risks, Defenses, and ADR
The real risks individuals and businesses face when they rely on AI agents, the layered defenses that work, and what ADR (Agent Detection and Response) is — the agent-economy counterpart to EDR. In production, credential exposure leads, not prompt injection.
From Image Generation to Workflow Generation
How to set up image generation in GenseeAI, early play-arounds (virtual try-on, flyers, background changes), and where it gets useful inside real workflows — e-commerce, website building, and slide creation. Supports text-to-image and image-to-image.
Image Generation Is Now Part of Your Workflow in GenseeAI
Bring your own API and generate images directly inside your GenseeAI workflows — slides, websites, social posts, research figures, and image-to-image flows like virtual try-on. Supported in OpenClaw and Hermes, on desktop and mobile.
A More Affordable and Flexible Way to Handle Extra AI Agent Usage
Monthly plans provide the foundation. Token add-ons provide extra flexibility when AI agent work temporarily expands.
Why Mobile Should Be a Real Control Surface for AI Agents, Not Just a Companion
AI agent products need mobile to be more than a notification layer. GenseeAI Guided Mode makes mobile a real control surface for workflows, tasks, connectors, files, and agents.
AI Workflows Need Continuity, Not Just Chat
Why real AI workflows need persistent conversations, restore behavior, connected artifacts, and recurring task results that return to the same flow.
Why Role-Based Agents Are a Better Fit for Real Workflows
Why generic AI chat falls short for recurring work, and why role-based agents with workflow context, memory, skills, and guided setup fit real professional workflows better.
Why We Expanded GenseeAI Beyond the Original OpenClaw Starting Point
Most users arrive with intent, not a desire to learn system concepts first. That realization reshaped how we think about the product.
Introducing GenseeAI Guided Mode: A Simpler Way to Run AI Workflows
Start from your role — founder, investor, marketer — not from system concepts. Personalized AI agents, recurring tasks, persistent conversations, and full mobile access.
Introducing GenseeAI — Your Private Cloud Computer for AI Agents
A dedicated, always-running cloud computer for your AI agents. No setup, no infrastructure, no maintenance. From an early experiment to a platform you can rely on.
Managing Multiple OpenClaw Instances
March 13, 2026
Learn how to efficiently manage multiple OpenClaw instances for different projects and workflows.
Zero to Website in One Hour
March 12, 2026
Watch how Gensee Crate helps you build and deploy a complete website from scratch in under an hour.
One Prompt, One Seattle Trip
March 11, 2026
How a single prompt helped plan an entire Seattle trip with detailed itinerary and recommendations.
When People Pay $6,000 for OpenClaw Installation
March 10, 2026
Stories from the field about enterprise OpenClaw deployments and what customers value most.
The Glass Wall Shatters: A Professor's Reflection on the ICLR 2026 Breach
Dec 2, 2025
A professor's perspective on the OpenReview data breach, AI-generated peer reviews, and the future of scientific validation in the age of AI.
Why Your AI Application Needs a Search Agent, Not a Search Tool
Aug 23, 2025
Learn about how the Gensee Search Agent handles all the complexity of searching, crawling, error handling, and information extraction in a single API call.
Databricks Agent Bricks vs. AWS AgentCore vs. Gensee
July 31, 2025
An in-depth comparison of three leading platforms for building and deploying the next generation of AI agents.
Agent Auto-Tuning with Cognify Pt.2
March 13, 2025
Dive deeper into the technical secret sauce behind Cognify's efficient and effective autotuning: the AdaSeek algorithm.
Agent Auto-Tuning with Cognify Pt.1
March 12, 2025
Is it possible to autotune a 4-step gen-AI workflow's generation quality with a budget of $5 and 30 minutes instead of $168K and weeks?
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