Future Secure AI tech stack
Future Secure AI builds mostly with Python, TypeScript, PowerShell, Ruby. Its stack also includes AWS, Azure, LangChain, LlamaIndex. Python is named in 15 of the 30 job postings Future Secure AI published in the last 12 months (50%). Counted by Alion from the job postings of Future Secure AI, updated Sep 26, 2026.
What programming languages does Future Secure AI use?
Python is named in 50% of job postings at Future Secure AI, followed by TypeScript (27%), PowerShell (27%), Ruby (20%).
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What frameworks and libraries does Future Secure AI use?
LangChain is named in 23% of job postings at Future Secure AI, followed by LlamaIndex (13%), LangGraph (10%), JUnit (7%).
What cloud and platforms does Future Secure AI use?
AWS is named in 33% of job postings at Future Secure AI, followed by Azure (33%), Kubernetes (30%), GCP (27%).
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What developer tools does Future Secure AI use?
Helm is named in 23% of job postings at Future Secure AI, followed by Terraform (23%), ArgoCD (17%), Docker (7%).
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What AI and ML technologies does Future Secure AI use?
LLM is named in 27% of job postings at Future Secure AI, followed by Claude (3%).
Which engineering practices does Future Secure AI ask for?
CI/CD is named in 40% of job postings at Future Secure AI, followed by AI Agents (23%), RAG (23%), Platform Engineering (20%).
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What does each Future Secure AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
6 postingsDevOps
4 postingsSolutions
3 postingsSupport
3 postingsBackend
3 postingsHow does your stack fit Future Secure AI?
How is the Future Secure AI stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Future Secure AI stack?
Future Secure AI scores 78 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
Questions about the Future Secure AI tech stack
What programming languages does Future Secure AI use?
The languages named in Future Secure AI job postings are Python (50%), TypeScript (27%), PowerShell (27%), Ruby (20%), JavaScript (20%), as a share of the 30 postings of the last 12 months.
Does Future Secure AI use LangChain?
Yes. LangChain is named in 7 of 30 job postings (23%) and required in 7 of them.
What cloud and platforms does Future Secure AI use?
The cloud and platforms named in Future Secure AI job postings are AWS (10), Azure (10), Kubernetes (9) (postings in brackets).
What skills do you need for a AI/ML job at Future Secure AI?
AI/ML postings at Future Secure AI most often require LangChain (4), Python (4), TypeScript (4), LLM (3), out of 6 postings in the last 12 months.
Is the Future Secure AI tech stack changing?
Yes. Microsoft Entra ID, Okta, Crowdstrike, SIEM first appeared in Future Secure AI job postings in the last six months.
How modern is the Future Secure AI tech stack?
Future Secure AI scores 78 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
How does Alion know the Future Secure AI tech stack?
Alion reads every job posting Future Secure AI publishes and tags the technologies each one names. The figures on this page count the 30 postings of the last 12 months and were updated on Sep 26, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Future Secure AI tech stack: 75 technologies from 30 job postings", as of Sep 26, 2026. https://alion.io/company/futuresecure/technologies
