kin

Uma nova base para código. Kin é um repositório de código nativo em grafo para pessoas e agentes de IA. Ele armazena código-fonte, relacionamentos de código registrados e histórico versionado como estado do repositório. O grafo é o modelo do repositório, não um índice de busca mantido ao lado de...

demo-cve-2026-4821

डेमो: CVE-2026-4821 भेद्यता सुधार यह रिपॉजिटरी प्रदर्शित करता है कि OpenExecution की प्रोवेनेंस प्रणाली AI एजेंट के CVE सुधार को पूर्ण क्रिप्टोग्राफिक ऑडिटेबिलिटी के साथ कैसे ट्रैक करती है। परिदृश्य भेद्यता : प्रमाणीकरण मॉड्यूल में SQL इंजेक्शन एजेंट : sentinel-x9 CyberSafe Inc. फ्लो : पता लगाना ...

Agent-Warden: EBPF-Based Kernel-Native Process-File Provenance Tracking for LLM Agents

LLM agents execute dynamically generated process and file operations that are often invisible to application-layer tracing. We present Agent-Warden, an extended Berkeley Packet Filter eBPF-based provenance monitor for tracking task and regular-file states across process creation, file access, and...

Topological Attribution Distance (TAD): Revealing Segment-Level RAG Influence on LLM Output Geometry for Incident Log Analysis

Large Language Models LLMs are increasingly being deployed in cybersecurity operations to assist cybersecurity analysts with rapid decision-making against emerging threats. However, there is a main criteria that must be met when using LLMs in cybersecurity, that is, trust in the generated outputs...

kin v0.4.8

The diff is not the change. AI agents can write a change faster than a team can establish what it touches, whether it reverses an earlier fix, and how far its consequences reach. Git records files and line history. Kin records the software itself as a graph of entities, relations, changes, and...

MutMem: Cryptographically Authorized Mutation in Persistent Agent Memory

Persistent agent memory must adapt as later outcomes change earlier evidence, yet mutable retrieval weights create an attribution problem: reviewers must distinguish authorized adaptation from database tampering. We present MutMem, an authorized-mutation protocol in HOM-AIMOS, a persistent...

REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming

Large language models LLMs are increasingly applied to reverse-engineering tasks, and recent threat-intelligence reporting shows them operating inside live offensive-security workflows. Claims about their capability, however, outpace our ability to measure it. Existing benchmarks for LLM-assisted...

Silent Subversion: Sensor Spoofing Attacks Via Supply Chain Implants in Satellite Systems

Spoofing attacks are among the most destructive cyber threats to terrestrial systems, and they become even more dangerous in space, where satellites cannot be easily serviced, and operators depend on accurate telemetry to ensure mission success. When telemetry is compromised, entire spaceborne...

Toxic_Flow_Analysis_Framework_For_Agentic_AI

Toxic Flow Analysis TFA Framework A Secure-by-Design framew...

Securing the Model Context Protocol (MCP): Risks, Controls, and Governance

The Model Context Protocol MCP replaces static, developer-controlled API integrations with more dynamic, user-driven agent systems, which also introduces new security risks. As MCP adoption grows across community servers and major platforms, organizations encounter threats that existing AI...