4. Security & Compliance

Automates data retention, archival, and deletion processes to ensure compliance with regulations such as GDPR and HIPAA.

Manages the full lifecycle of security vulnerabilities including discovery, assessment, remediation, and reporting to maintain system security.

Provides a comprehensive guide to implementing safety guardrails for LLM systems, ensuring secure and compliant AI deployments.

Comprehensive guide to implementing Role-Based Access Control (RBAC) for enterprise applications with hierarchical roles and custom permissions.

Securely integrates major payment gateways with PCI compliance, error handling, and webhook management.

Comprehensive guide for implementing secure permission systems in AI agent tools, covering RBAC, approval workflows, and security policies.

Implements NIST PQC standards for quantum-resistant IoT security, including mTLS and crypto-agility migration planning.

Scans and reviews skills/plugins for security vulnerabilities, malware, and supply chain risks to ensure safe deployment.

Guides structuring essential trust pages including Privacy Policy, Terms of Service, Security, and FAQ for compliance and credibility.

Ensures data privacy and regulatory compliance throughout the machine learning lifecycle, from data training to inference phases.

Enables network and application-level segmentation to restrict lateral movement and contain security breaches in IoT environments.

Provides knowledge on OWASP Top 10 security risks and mitigation strategies for web applications.

Conducts systematic security audits to identify vulnerabilities, assess compliance, and validate security controls across organizational policies and procedures.

Provides a security policy for automated scanning in CI/CD pipelines, covering dependency audits, SAST, and secret detection.

Secures AI supply chains by implementing SBOM/MBOM, managing vulnerabilities, and defending against adversarial attacks from training to deployment.

Provides secure logging practices to redact PII and secrets, preventing data leaks and ensuring compliance with regulations.

Audits MCP server code for security vulnerabilities, missing validations, error handling, and production readiness during PR reviews.

Provides data lifecycle strategies to ensure legal compliance while optimizing storage costs and system performance.

Enforces data protection policies to detect, classify, and safeguard Personally Identifiable Information (PII) within data platforms, ensuring regulatory compliance.

Enables implementation of algorithmic accountability frameworks to comply with regulations including EU AI Act and NYC Local Law 144.

Provides a comprehensive guide for conducting access audits, periodic reviews, anomaly detection, and segregation of duties to ensure security and compliance.

Enables comprehensive logging, tracking, and audit trails for AI systems to ensure regulatory compliance and support debugging workflows.

Enables passwordless user authentication via blockchain signatures, implementing Sign-In with Ethereum (SIWE) for secure identity verification and session management.

Analyzes binary formats and code using command-line tools to uncover structure, behavior, or security vulnerabilities.