AI Development built for Cybersecurity companies
What is AI Development?
We design and ship production AI systems, not just proof-of-concept demos. For Cybersecurity companies, this means navigating SOC 2, ISO 27001 while shipping fast.
Who needs AI Development for Cybersecurity?
- Detecting threats in real time at scale
- False positive rates undermining analyst trust
- Integrating across fragmented security tool stacks
- AI pilots that never reach production
- Lack of in-house ML engineering talent
Best AI Development company
Security products are held to a higher engineering bar than almost any other software category.
We've designed our AI Development process specifically around the realities of Cybersecurity businesses in .
Stop guessing on AI Development — let's build a real plan together
Book a free 30-minute discovery callWhat Cybersecurity leaders in wish they knew before starting AI Development
- Detecting threats in real time at scale
- False positive rates undermining analyst trust
- Integrating across fragmented security tool stacks
- Meeting compliance certifications for enterprise sales
- Keeping pace with evolving attack techniques
How GarudLabs approaches AI Development for Cybersecurity companies in
Custom LLM application development
RAG pipeline implementation
Model fine-tuning and evaluation framework
AI infrastructure and MLOps setup
Production monitoring and cost-optimization dashboard
Core Technology Stack
PythonPyTorchLangChainOpenAI APIAnthropic APIPineconeFastAPIKubernetes
Timeline, investment & compliance
Typical timeline
6-14 weeks for first deployable AI feature
Typical investment
$25,000 - $180,000
AI Development engagements in this combination typically need to account for:
- SOC 2
- ISO 27001
- NIST frameworks
- GDPR
Proven Results
"We helped a cybersecurity startup reduce false positive alert rates by 37% with an improved detection pipeline."
Read the full case studyBring your AI Development idea to a team that ships for Cybersecurity
Get a free project cost estimateFrequently Asked Questions
Most AI Development engagements take 6-14 weeks for first deployable AI feature, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.
AI Development projects with us typically range from $20,000 - $180,000, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.
For ai development, we typically work with Python, PyTorch, LangChain, OpenAI API, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.
A typical ai development engagement includes custom llm application development, along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.
Most clients come to us for ai development because of ai pilots that never reach production, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.
We've delivered multiple cybersecurity projects addressing challenges like detecting threats in real time at scale. We helped a cybersecurity startup reduce false positive alert rates by 37% with an improved detection pipeline.
For cybersecurity clients, we pay close attention to SOC 2, ISO 27001, building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.
The most common challenges we solve for cybersecurity clients include detecting threats in real time at scale and false positive rates undermining analyst trust. We tailor our discovery process to surface the specific version of these problems your business faces.