Secure & Comply

Application Security and DevSecOps for Fast-Moving Teams

Your teams ship daily, but manual reviews and late-stage scans make every release a gamble. Flentas builds security into your pipeline and your GenAI stack, catching vulnerabilities before production, not after.

The Reality

Every Release Is a Bet That Nothing Slips Through

Your teams ship daily. Security still reviews weekly, and the gap between the two is where incidents come from.

Manual reviews can't keep pace

Teams ship daily. Reviews still run weekly.

Vulnerabilities surface late

Issues found after deploy mean a rollback, a hotfix or an incident report.

The GenAI stack has no coverage

Prompt injection and agent risk sit outside what SAST, DAST and SCA catch.

Every cloud adds its own gaps

AWS, Azure, GCP, Terraform and Kubernetes each bring misconfigurations to track by hand.

Secrets live in the repo

Credentials and keys end up in code and pipelines because there's no managed alternative.

Audit evidence is assembled by hand

Proving every release was scanned and approved means screenshots and spreadsheets.

Key Benefits

Security That Moves With Your Pipeline, Not Against It

  • Shift Security Left

    Automated gates at every pipeline stage catch vulnerabilities, exposed secrets, and risky infrastructure before code merges. Findings land inside the pull request, not in a report weeks later.

  • Cover the AI Attack Surface

    Purpose-built controls for LLM and agentic apps: prompt-injection defense, agent permission boundaries, and activity monitoring, mapped to the OWASP LLM Top 10 and NIST AI RMF.

  • Releases That Stay Fast

    Automated gates replace manual review queues, so security stops being the step everyone waits on.

  • Audit-Ready by Default

    Controls mapped to recognised standards mean the evidence already exists. Your next audit becomes a report, not a six-week scramble.

AIQ · AI Security Assessment

Is Your AI Attack Surface Covered?

AIQ, the Flentas AI Security Assessment, maps your models, prompt paths, agent permissions and control gaps against OWASP LLM Top 10 and NIST AI RMF, so the GenAI features your pipeline ships are as governed as the code around them.

Proof Points

Security That Holds Up in Production

Live application workloads secured across client cloud environments
500+
Critical or high vulnerabilities reaching production after go-live on our DevSecOps work
Zero
Client retention across security and cloud engagements
96.5%
How It Works

Security Gates at Every Stage, Without Slowing Releases

Manual security reviews cannot keep pace with continuous delivery. We build one shared, automated baseline into the pipeline itself.

  1. 1

    Code

    SAST and secrets scanning run on every commit, so risky code and exposed keys never reach the shared branch.

  2. 2

    Build

    Software composition analysis flags vulnerable and outdated dependencies before anything gets packaged.

  3. 3

    Test

    Dynamic testing and container image scanning check the running application and its images for exploitable flaws.

  4. 4

    Deploy

    Infrastructure-as-code policy checks and admission control stop misconfigured resources from ever provisioning.

  5. 5

    Operate

    Runtime protection and drift detection catch threats and unplanned changes after release, not only before it.

Technology Stack

Technologies & Tools We Use

  • CI/CD Security Integration

    SAST, DAST, and SCA integrated directly into your existing CI/CD pipelines.

  • Infrastructure-as-Code Scanning

    Terraform and CloudFormation scanned for misconfiguration before anything ships.

  • Container & Kubernetes Security

    Image scanning, admission control, and workload protection.

  • Secrets Management

    Centralized secrets management so credentials never live in code or configuration.

  • Pipeline Hardening

    Least-privilege runners, signed artifacts, and protected branches.

  • GenAI Application Security

    LLM threat modeling, guardrail design, and agent permission boundaries mapped to the OWASP LLM Top 10 and NIST AI RMF.

Delivery Accelerator · ChangeSafe

Know What a Change Will Break Before It Ships

ChangeSafe AI maps your codebase into a live dependency graph, so every release, refactor and security fix is reviewed against what it actually touches, before it reaches production.

Case Studies

Where Application Security & DevSecOps Makes a Difference

Corporate Mobility Provider

SaaS / Continuous Delivery Teams

80% Reduction in deployment effort

Shipping daily but security can't keep pace. Automated gates move review into the pipeline so releases stay fast and defensible.

ASEAN Financial Services

Financial Services / Regulated Workloads

Zero Critical/High Vulns in Production

Zero-downtime DevSecOps for a private financial services enterprise reached zero critical or high vulnerabilities in production after go-live.

Teams Shipping GenAI Features

Agentic and LLM-powered features racing to production. Purpose-built controls close the gap traditional AppSec tooling can't see.

Multi-Cloud Engineering Orgs

Security controls integrated across AWS, Azure, and GCP, and across Terraform, CloudFormation, and Kubernetes, without replacing the stack you already run.

“Every release used to be a gamble, a late-stage scan that either passed or blew up our sprint. Flentas wired SAST, DAST, and SCA straight into our pipelines and our infrastructure-as-code. We've shipped through two audit cycles since go-live with zero critical vulnerabilities reaching production.”

VP of EngineeringRegulated Financial Services Platform, ASEAN

What's Next

Where This Fits in Your Journey

One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.

Get Started

Find the Gaps Before Someone Else Does

A security review maps your pipeline, your GenAI surface, and the gaps that matter, and shows exactly where the next vulnerability would slip through.