Results for “inp”

Provides best practices for implementing authentication, authorization, input validation, CSRF protection, secrets management, rate limiting, and dependency security in Spring Boot services.

Secure Perl applications against injection, taint, and web vulnerabilities with validated patterns for input handling, file operations, process execution, and DBI queries.

Adds input and output guardrails to an agent, including validation, content filtering, domain scoping, and rate limiting, with TypeScript examples and wiring instructions.

Enforce API input/output contracts using OpenAPI specifications and JSON Schema to prevent injection, mass assignment, and data leakage attacks.

Provides a comprehensive security checklist and code patterns for authentication, input validation, secrets management, SQL injection prevention, XSS, CSRF, rate limiting, and sensitive data exposure.

Provides a security checklist and code patterns for authentication, input validation, secrets management, SQL injection prevention, XSS, CSRF, rate limiting, and sensitive data handling.

Audits frontend codebases for security vulnerabilities and bad practices, covering XSS, CSRF, DOM issues, CSP, input validation, file uploads, and Node.js/NPM dependencies across web, React, Astro, Twig, Node.js, and Bun.

Hardens serverless compute platforms (AWS Lambda, Azure Functions, Google Cloud Functions) by enforcing least privilege IAM roles, eliminating hardcoded secrets, scanning dependencies for vulnerabilities, validating input, securing function URLs, and enabling runtime monitoring.

Secure Django applications against common vulnerabilities with production-ready settings, authentication, authorization, and input validation.

Scaffolds and reviews custom WordPress REST API endpoints, covering registration, authorization, input validation, response shaping, and security best practices.

Generates custom safety policies for NVIDIA Nemotron content-safety guardrails, producing a Markdown policy, JSON taxonomy, and inference prompts from rough user input.

Add programmable safety guardrails to LLM applications at runtime, including jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, and toxicity detection.

Builds security-focused full-stack web applications by implementing integrated frontend and backend components with layered security at every level, covering the complete stack from database to UI.

Deploy Llama Guard, NeMo Guardrails, and LLM Guard as runtime input/output scanners to block jailbreaks, prompt injection, and toxic content in production LLM applications.

Audits WordPress plugin or theme PHP code for common security mistakes including missing nonce checks, capability checks, input sanitization, output escaping, SQL preparation, AJAX exposure, file traversal, and unsafe redirects.

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations, detecting attack vectors where attacker-controlled input reaches AI agents in CI/CD pipelines.

Builds input and output validation guardrails for LLM-powered applications to prevent prompt injection, data leakage, toxic content generation, and hallucinated outputs using NeMo Guardrails, Presidio, and Guardrails AI.