CodeAnt AI

CodeAnt AI is an agentic application-security platform that correlates code, infrastructure and runtime context, simulates exploits, reviews code and provides proof-oriented remediation guidance. Teams should minimize repository and cloud permissions, protect secrets, validate reproduced findings and fixes, tune policies, test in safe environments and retain accountable security and release approval.

Use authorized, minimal inputs and grant integrations the least access required. Configure privacy, retention, sharing, quality, accessibility, disclosure, export, governance, moderation and spending controls. Test representative cases, verify generated facts, calculations, citations, customer messages, code, trades and financial details, preserve originals and version history, and retain accountable human approval before publication, outreach, deployment or operational action.

A free AI pentest scan and free low- and medium-severity findings are advertised, while paid unlocks and organizational plans use custom pricing. Applications, repositories, scans, findings, contributors, deployment, support and contract terms determine cost.

AI output can be inaccurate, biased, derivative, insecure, incomplete or misleading. Review consent, copyright, financial risk, training and retention terms, renewals, refunds, platform rules and applicable law. Medical, education, finance, investment, compliance, marketing, travel and customer-facing workflows require qualified human review.