#Code security
4 tools curated for you
Eliminate false positives and focus only on real threats with threat validation that confirms vulnerabilities before recommending fixes Maintain complete control over security changes by reviewing and approving every patch recommendation before implementation Automate the tedious work of vulnerability hunting with a built-in scanner that inspects your entire codebase Receive specific, actionable fixes for confirmed vulnerabilities instead of generic security warnings Bridge the entire security workflow from identification to remediation in one seamless, end-to-end process
Find twice as many real vulnerabilities while eliminating 75% of false positives through AI that understands code context and developer intent Get instant security feedback with one-click fixes directly in pull requests, turning security from roadblock to enabler Automatically fix broken authentication, vulnerable dependencies, and compliance breaches with AI-generated solutions Maintain continuous compliance with automated reporting for SOC2 and ISO27001 standards through executive dashboards Receive educational security feedback that helps developers improve their coding skills and security awareness Seamlessly integrate security scanning into existing workflows with native GitHub, GitLab, Bitbucket, and Azure DevOps support
Eliminate false positives by acting only on verified vulnerabilities with proof-of-concept exploitation and CVSS scoring with confidence metrics. Fix business logic flaws like auth bypass and financial manipulation by leveraging full-text search across titles and descriptions to understand your application's specific business flow. Visualize the exact attack path from user input to vulnerable code with source-to-sink data flow tracking, so you understand how an attacker exploits your application. Prioritize fixes instantly by filtering vulnerabilities by severity, confidence, scan version, and status for a streamlined triage workflow. Track every vulnerability from detection to resolution with a full lifecycle system including validation notes, timestamps, and bulk operations for clear team communication. Scan only changed files or the entire codebase with incremental and full-codebase scans to match your development pace. Eliminate duplicate reports across multiple scans using similarity scoring, saving time and focusing your team on unique fixes. Secure codebases in any language—including niche ones like Arc and Haskell—with universal language support that goes beyond pattern matching.
Stop API keys, tokens, and private keys from leaking to ChatGPT, Claude, or Cursor by scanning files and staged git changes before they ever reach an AI tool with Offsend's local-first check command. See exactly which sensitive files and folders are visible to AI tools like Cursor or Claude before you paste or share context using the read-only show command that categorizes exposed paths by data type. Block commits containing privileged information automatically by installing a pre-commit git hook that screens every staged change for secrets and rejects the commit if anything sensitive is found. Enforce AI data boundaries per repository without manual ignore file management by running the prepare command to generate missing .cursorignore, .claudeignore, and .aiexclude files in seconds. Tailor secret detection to your specific tech stack across every project by committing a .offsend.yml configuration file that tunes detectors, exclusions, and custom dictionaries for each repository. Run security checks in your CI pipeline without sending code to any server by integrating the local-first CLI into automated workflows—no account, no upload, no cloud dependency. Install and start protecting your codebase in seconds on macOS with a single brew command, no signup required, using the free open-source CLI that operates entirely on your machine.