Akasa Air Secured 1M+ Lines of Code with CodeAnt AI

900+

900+

Security Issues Flagged
Security Issues Flagged

1 Million+

1 Million+

Lines of Code Scanned
Lines of Code Scanned

100K+

100K+

Quality Issues Identified
Quality Issues Identified
Problem

Akasa Air’s fast-growing GitHub ecosystem lacked unified, continuous security and code quality coverage across 1M+ lines of mission-critical aviation code.

Solution

CodeAnt AI became the always-on Code Health layer inside GitHub — automating SAST, IaC, SCA, secrets detection, and quality enforcement across every service without slowing developers down.

Founded

2021

Stage

Series B

Industry

Aviation

Since adding CodeAnt AI to our GitHub workflow, reviews have become faster and more focused. We’re spotting issues early and shipping better code with less back-and-forth

Adil Khanday

Software Architect, Akasa Air

Since adding CodeAnt AI to our GitHub workflow, reviews have become faster and more focused. We’re spotting issues early and shipping better code with less back-and-forth

Adil Khanday

Software Architect, Akasa Air

Since adding CodeAnt AI to our GitHub workflow, reviews have become faster and more focused. We’re spotting issues early and shipping better code with less back-and-forth

Adil Khanday

Software Architect, Akasa Air

About Akasa Air

Akasa Air’s engineering division powers digital systems for flight operations, crew management, pricing, and customer experience, it’s all built on distributed GitHub repositories.

To maintain speed, quality, and safety while scaling, the team needed AI-driven reviews, automated security checks, and faster feedback loops, without disrupting workflows.

How CodeAnt AI Transformed Akasa Air

Akasa Air adopted CodeAnt AI as their unified Code Health Platform across all GitHub repositories.

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The Challenge Before AI

Before CodeAnt AI, Akasa Air struggled with:

  • Fragmented tools and inconsistent scanning coverage across teams

  • Vulnerabilities, secrets, and misconfigurations caught late in the cycle

  • No centralized dashboard for leadership to assess security posture

  • Pressure to meet aviation-grade compliance standards

  • Growing codebase with no automated risk detection

The result: blind spots, manual checks, and slower delivery.

The AI Breakthrough

CodeAnt AI became the always-on code security engine across Akasa Air.

  • SAST Security: Flagged insecure patterns, SQL risks, unsafe APIs, missing validations

  • IaC Security: Detected K8s/Docker/YAML misconfigs — privilege escalation, missing limits, root user, weak security rules

  • SCA Scanning: Surfaced critical/high CVEs across Python, Node, Java with fix suggestions

  • Secrets Detection: Caught hard-coded secrets, AWS keys, and credentials instantly

  • Code Quality Checks: Identified dead code, duplicates, anti-patterns, missing documentation

  • Risk Funnels: Provided leadership a clear view of where security & quality risks concentrated across services

Outcome

Akasa Air now uses CodeAnt AI as their system of record for Code Health, covering security, quality, and dependency risk across mission-critical aviation systems.

The combination of:

  • Automated SAST

  • Deep IaC scanning

  • Continuous dependency vulnerability checks

  • Secrets monitoring

  • Quality enforcement

  • GitHub-native workflows

has transformed their engineering posture.

CodeAnt AI now powers Akasa Air’s platform engineering stack and supports their enterprise expansion, including the Air India deal cycle.