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CodeAnt AI Code Security Platform

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CodeAnt AI covers code, cloud, and runtime security in one platform. Code security: AI SAST detects vulnerabilities during development and establishes which are reachable before surfacing them, with 95% fewer false positives than pattern-matching scanners and findings mapped to OWASP and CWE. Software composition analysis identifies vulnerable and malicious packages across direct and transitive dependencies, protecting more than 2 billion monthly package downloads. Secret detection scans full commit history for hardcoded credentials, API keys, and tokens. SBOM generation runs continuously across every repository. Cloud security: Cloud security posture management detects misconfigurations across your cloud accounts and maps them to compliance frameworks. Threat detection surfaces active adversary behavior in the cloud environment. Container scanning inspects images and registries for vulnerable packages and embedded secrets. Virtual machine scanning covers running workloads and their installed dependencies. Runtime security: Dynamic application security testing probes running applications for exploitable behavior. Attack surface management continuously discovers exposed assets, domains, and services outside the perimeter. Grey box AI pentesting runs more than 500 AI agents against that surface, chaining weaknesses into complete attack paths. Remediation arrives as a fix inside the pull request. Continuous AI learning draws on more than 1 billion lines of codebase history. Our security research team has discovered over 150 CVEs in production software, and CodeAnt has pentested more than 1,000 companies.

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