Generative AI Development built for Cybersecurity companies
What is Generative AI Development?
We turn generative AI from a flashy demo into a feature your customers depend on. For Cybersecurity companies, this means navigating SOC 2, ISO 27001 while shipping fast.
Who needs Generative AI Development for Cybersecurity?
- Detecting threats in real time at scale
- False positive rates undermining analyst trust
- Integrating across fragmented security tool stacks
- Generative AI demos that impress but never ship
- Hallucinations undermining user trust in AI features
Best Generative AI Development company
Security products are held to a higher engineering bar than almost any other software category.
Every Cybersecurity company eventually needs reliable Generative AI Development — we make that step less risky.
Ready to talk Generative AI Development for your Cybersecurity business?
Book a free 30-minute discovery callThe real cost of getting Generative AI Development wrong in Cybersecurity
- 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 we tailor Generative AI Development to what Cybersecurity teams actually need
LLM application architecture and prompt engineering
Retrieval-augmented generation (RAG) pipeline
Output evaluation and guardrail framework
Cost monitoring and model routing setup
Fine-tuning pipeline for domain-specific tasks
Core Technology Stack
OpenAI APIAnthropic APILangChainLlamaIndexPineconePythonFastAPI
Timeline, investment & compliance
Typical timeline
6-14 weeks
Typical investment
$25,000 - $160,000
Generative AI Development engagements in this combination typically need to account for:
- SOC 2
- ISO 27001
- NIST frameworks
- GDPR
Our Approach
Cybersecurity software fails quietly if it isn't built for detecting threats in real time at scale from the start. We scope for SOC 2 and ISO 27001 requirements up front, and keep the review cadence tight enough to catch drift before it ships.
See our case studiesReady to talk Generative AI Development for your Cybersecurity business?
Get a free project cost estimateFrequently Asked Questions
Most Generative AI Development engagements take 6-14 weeks, 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.
Generative AI Development projects with us typically range from $20,000 - $160,000, 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 generative ai development, we typically work with OpenAI API, Anthropic API, LangChain, LlamaIndex, 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 generative ai development engagement includes llm application architecture and prompt engineering, 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 generative ai development because of generative ai demos that impress but never ship, 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.