All Documents
3,528 documents available
Database Sanitization Framework - User Stories
Defines 28 user stories across 6 phases for building a domain-agnostic SQL Server database sanitization framework in Python.
Security and IAM for GenAI
Covers IAM least privilege, data masking, anonymization, key salting, and IAM user/group rules for GenAI pipelines on AWS.
15.3 Security & Compliance
Defines authentication, authorization, encryption, PII redaction, compliance frameworks, and incident response for a log platform.
Security Overview
Documents the security architecture, practices, and procedures for an AI knowledge website system.
detail
Defines trustworthiness requirements for AI in ADAS, covering explainability, fairness, robustness, safety, and compliance with automotive standards.
MCP Security & Access Control Analysis
Analyses security gaps in an MCP server exposing Oracle procurement data, listing vulnerabilities and fixes.
System Architecture
Documents the architecture of a polyglot log intelligence system with Go ingestion and Python ML analysis.
MCP Server Specification: Grok Discussion Server
Specifies a production-ready MCP server for multi-turn discussions with Grok-4 AI, including context gathering, baseline generation, and session management.
AI Agent Architecture for Croner App
Defines a provider-agnostic AI agent architecture with specialized agents, RAG pipeline, and Kubernetes deployment for an admin portal.
Comprehend
Explains Amazon Comprehend NLP service features, use cases, implementation steps, and cost considerations for text analysis on AWS.
STRIDE: Repudiation — Threat Modeling Prompt Pack
Provides a copyable AI prompt and checklist to identify repudiation threats and audit logging gaps in a system architecture.
Work Stream 54: Remove Sensitive Data from Logs (CRIT-002)
Documents the removal of password reset tokens and DISC scores from logs, replacing them with a sanitization utility across two services.
LLM Firewall - Production-Ready Blueprint
Outlines a production-grade LLM firewall architecture with five security layers, gRPC communication, and OpenTelemetry observability for enterprise deployment.
🔴 Critical Issues, Gaps & Gray Areas - System Improvement Plan
Catalogues security, performance, data, and compliance gaps in a Next.js app with a priority-ranked remediation plan and implementation checklist.
SafeLayer (SL) Compliance & Audit Guide
Documents SafeLayer's compliance controls, audit logging, and regulatory alignment for auditors and compliance officers evaluating the library for regulated AI deployments.
Security Overview
Documents a security module with PII scanning, data masking, encryption, RBAC, and tamper-evident audit logging.
PII Detection & Data Classification
Scans Snowflake tables for PII using regex patterns, column heuristics, and sample data, then classifies, tags, and generates Dynamic Data Masking policies.
✅ Observability Implementation - Complete
Documents a full observability implementation for a NestJS Shipping module with correlation IDs, structured logging, integration logging, and database queries.
Agent Security and Interoperability
Defines security and interoperability standards for enterprise agentic AI deployments, covering authentication, authorization, and agent interaction protocols.
AI Privacy Layer MVP - Technical Design Document
Designs a transparent proxy that anonymizes sensitive data before sending it to LLM APIs and de-anonymizes responses, requiring only a URL change.
Security Guardian Agent
Defines a security review agent for Databricks code, covering PII handling, SQL injection, secrets management, and compliance with GDPR, HIPAA, CCPA, and SOC2.
LLM Privacy Layer — Complete Research Synthesis
Synthesises research on Secludy's privacy-safe synthetic data product and maps it to an MVP plan using spaCy and Faker instead of differential privacy.
ShieldAI Sales Deck
Presents a 16-slide sales deck for a Canadian AI compliance gateway that detects and masks PII before forwarding requests to OpenAI or Claude.
PII Protection and Security Compliance
Documents PII minimization, handling, incident response integration, and compliance mapping for a logging system.