You know AI can help your security team. You just don’t know where to start.
Every vendor is selling “AI-powered” security. But your real questions are simpler:
- Where will AI actually save my team time and money?
- Where is AI just hype that won’t deliver?
- If we adopt AI, how do we keep sensitive data secure?
- What will it cost, and what’s the realistic return?
- Do we build it ourselves or buy it?
AISAP answers all of these. Not with a generic report, but with a plan built specifically for your organization.
How It Works
We spend 2-3 days with your security team. We learn your tools, your workflows, your pain points, and your compliance requirements. Then we build your AI security roadmap.
Step 1. We map your security operations
Every function your team performs gets evaluated: vulnerability management, threat monitoring, incident response, compliance, cloud security, application security, and more. We identify what’s repetitive, what’s manual, and what’s slowing your team down.
Step 2. We determine where AI fits
Not everything needs AI. For each function, we answer: will AI make this faster, cheaper, or more accurate? If yes, what kind of AI solution fits best? If no, we tell you that too. No upselling, no unnecessary complexity.
Step 3. We design the architecture
For every recommended AI integration, we specify exactly how it connects to your existing tools. Your SIEM, your ticketing system, your cloud platforms, your EDR. We also determine whether the AI should run inside your network (for sensitive data) or in the cloud (for cost efficiency).
Step 4. We build your implementation plan
A phased roadmap: what to deploy first, what to expect at each stage, and how to measure success. We include cost projections, hardware requirements, and timeline estimates.
What You Receive
A comprehensive document (typically 40-80 pages) customized to your organization. This becomes your AI security playbook:
- Security operations assessment with AI readiness ratings for each function
- Architecture blueprint showing how AI integrates with your current tools
- Build vs buy recommendations for each use case
- Cost projections and expected return on investment
- Implementation roadmap with phases, milestones, and success criteria
- Risk analysis covering data privacy, accuracy limitations, and team adoption
What Happens After
You have two options:
Option A: Your team implements it. The document includes everything your team needs: step-by-step guides, technical specifications, and recommended tools. We provide 30 days of email support for questions.
Option B: We build it for you. Our engineering team implements the architecture: setting up AI infrastructure, building integrations with your tools, configuring automation workflows, and training your security team. We provide 90 days of post-deployment support.
Most clients start with Option A for lower-risk areas and engage us for Option B on the more complex integrations.
Why Us
We’re not a research firm writing theoretical recommendations. We build and operate the systems we recommend:
- We maintain CyberStrike, an open-source offensive security platform powered by the same AI architecture we design for clients
- We build and run production AI integrations for security tools (browser testing, cloud auditing, vulnerability intelligence, code analysis)
- We deploy on-premise AI infrastructure on hardware like NVIDIA DGX, not just recommend it on paper
- Our team comes from penetration testing and red teaming, so we know which security problems AI actually solves and which ones it doesn’t
Engagement Timeline
| Phase | Duration | What happens |
|---|
| Discovery | 2-3 days | We assess your security operations, tools, and team structure |
| Analysis | 1-2 weeks | We build your custom AI architecture and roadmap |
| Delivery | 1 day | You receive the complete AISAP document |
| Review | Half day | Walkthrough session with your leadership team |
| Support | Ongoing | Advisory as you implement (scope depends on chosen option) |
Frequently Asked Questions
Who is this for?
Security leaders (CISOs, VPs of Security, IT Directors) who want to adopt AI in their security operations but need a clear plan before investing. If you’ve been evaluating AI security tools and aren’t sure what to buy, build, or skip, this is for you.
What makes this different from hiring a consulting firm?
Traditional consultants write recommendations based on market research. We write recommendations based on systems we’ve actually built and deployed. Every architecture pattern in your AISAP document comes from real-world implementation experience.
Do we need AI expertise on our team?
No. The document is written for security professionals, not AI engineers. If your team has never worked with AI before, the implementation guides are designed to be followed step by step. For more complex components, we offer hands-on implementation support.
Can we implement it ourselves?
Yes. The blueprint is designed to be self-sufficient. Many clients implement the simpler integrations themselves and engage us for the more specialized work.
How long until we see results?
The consulting engagement takes 3-4 weeks from kickoff to delivery. If you implement immediately, initial AI integrations can be operational within 6-8 weeks. A full enterprise rollout typically takes 4-6 months.
The architecture is designed around security functions, not specific vendor products. If you switch your SIEM or EDR platform, the AI integration design adapts. We also offer periodic reviews to keep your plan current.
Is our data safe during the engagement?
All engagement data is covered under NDA. We don’t use your environment, configuration, or findings in any other engagement. The AISAP document is your property.
How does this relate to your other services?
AISAP is the planning layer. It tells you what to build and why. Our other services (AI Agent Cluster, Continuous Pentesting, Security Hardening) are the execution layer. Many clients start with AISAP and then use us for specific implementations identified in the plan.
