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.
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.
Your teams ship daily. Security still reviews weekly, and the gap between the two is where incidents come from.
Teams ship daily. Reviews still run weekly.
Issues found after deploy mean a rollback, a hotfix or an incident report.
Prompt injection and agent risk sit outside what SAST, DAST and SCA catch.
AWS, Azure, GCP, Terraform and Kubernetes each bring misconfigurations to track by hand.
Credentials and keys end up in code and pipelines because there's no managed alternative.
Proving every release was scanned and approved means screenshots and spreadsheets.
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.
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.
Automated gates replace manual review queues, so security stops being the step everyone waits on.
Controls mapped to recognised standards mean the evidence already exists. Your next audit becomes a report, not a six-week scramble.
Manual security reviews cannot keep pace with continuous delivery. We build one shared, automated baseline into the pipeline itself.
SAST and secrets scanning run on every commit, so risky code and exposed keys never reach the shared branch.
Software composition analysis flags vulnerable and outdated dependencies before anything gets packaged.
Dynamic testing and container image scanning check the running application and its images for exploitable flaws.
Infrastructure-as-code policy checks and admission control stop misconfigured resources from ever provisioning.
Runtime protection and drift detection catch threats and unplanned changes after release, not only before it.
SAST, DAST, and SCA integrated directly into your existing CI/CD pipelines.
Terraform and CloudFormation scanned for misconfiguration before anything ships.
Image scanning, admission control, and workload protection.
Centralized secrets management so credentials never live in code or configuration.
Least-privilege runners, signed artifacts, and protected branches.
LLM threat modeling, guardrail design, and agent permission boundaries mapped to the OWASP LLM Top 10 and NIST AI RMF.
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.
Shipping daily but security can't keep pace. Automated gates move review into the pipeline so releases stay fast and defensible.
A corporate mobility and relocation provider moved a business-critical web application from manual, risky releases to a GitHub-native DevSecOps pipeline: automated builds and deploys with backup and health checks, CodeQL scanning on every commit and OWASP ZAP against the live application. Release cycles are 70% faster and deployment errors are down 85%.
Zero-downtime DevSecOps for a private financial services enterprise reached zero critical or high vulnerabilities in production after go-live.
Zero-downtime DevSecOps delivered for a private financial services enterprise, zero critical or high vulnerabilities in production after go-live.
Agentic and LLM-powered features racing to production. Purpose-built controls close the gap traditional AppSec tooling can't see.
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
One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.
Security gates in every build and deploy, without slowing releases.
Map controls once and stay audit-ready every day.
Explore Cloud Compliance & Governance24x7 monitoring and response on defined SLAs.
Explore Managed Security Operations (SOC)A security review maps your pipeline, your GenAI surface, and the gaps that matter, and shows exactly where the next vulnerability would slip through.