AI Security Guide
How to Hire an AI Security Consultant for Financial Services
Hire an AI security consultant who has operated security at Fortune 100 and financial-institution scale and who builds RAG, LLM, and agentic automation in production — not a demo. Digvijay Parmar has 12+ years across Point72, J.P. Morgan, Cisco, and Northern Trust, and currently builds AI-driven security automation at Point72 Asset Management.
Buyer question: How do I evaluate and hire an AI security consultant for a regulated financial environment?
What does good AI security consulting look like for financial services?
Good AI security consulting applies LLMs, RAG, and agentic workflows to live SecOps data — firewall policy, identity logs, routing, and telemetry — with governance and an audit trail a change board can accept. It is production automation under SEC/OCIE constraints, not a generative-AI risk slide deck.
AI security consulting is not a slide deck about generative AI risks. It is the practice of applying large language models, retrieval-augmented generation (RAG), and agentic workflows to live security operations — correlating firewall policy, identity and access logs, routing data, and infrastructure telemetry so engineers get evidence-backed answers instead of 45-minute manual investigations.
In regulated financial environments, every recommendation must be traceable, audit-ready, and governed. SEC and OCIE expectations do not relax because a model is involved. The consultant you hire should already know how to introduce AI with secure data pipelines, approval gates, and an evidence trail — because they have done it under those constraints.
Ask for production proof: platforms that run on realistic production-shaped data, switch to live vendor APIs when credentials are present, and produce outputs a change board can accept. Digvijay’s FirewallIQ and AI-Driven Security Investigation Platform were built to that standard at Point72 Asset Management.
Align the engagement to frameworks auditors already recognize — NIST AI RMF for AI risk governance, OWASP LLM Top 10 / Agentic AI guidance for application threats, and NIST SP 800-207 when Zero Trust is in scope — but insist the consultant maps those frameworks to your actual control plane, not generic checklists.
What questions should I ask before signing an AI security SOW?
Ask where they operated security at enterprise scale, which quantified SecOps outcomes they can show, how agent actions are governed (Assist/Approve/Automate), and whether the first session produces a written artifact. Digvijay’s published results include 60% less firewall policy review time, 75% diagnostic latency reduction, and 30% lower MTTD with AI-driven SASE analytics.
Where has the consultant operated security at enterprise scale — not only advised on AI? Digvijay’s background includes Point72 Asset Management, J.P. Morgan, Cisco Systems, Altice USA, Northern Trust, and Capgemini.
Can they show quantified outcomes from AI in SecOps? Published results from Digvijay’s work include 60% less firewall policy review time with AI, 75% diagnostic latency reduction (roughly 45 minutes to under 5), and 30% lower mean time to detect with AI-driven SASE analytics at a global financial institution.
How do they govern agent actions? Look for Assist / Approve / Automate modes, multi-step approvals, simulation gates, and cryptographic evidence packs — the pattern Digvijay uses in FirewallIQ — not unconstrained chatbots writing firewall rules into production.
Will the first session produce a written artifact? The Agentic AI Standup is free for 40 minutes: you bring one real AI security or Zero Trust problem and receive a diagnosis, two or three concrete recommendations, and a written summary within 24 hours. No pitch and no deck.
| Evaluation signal | Weak answer | Strong answer |
|---|---|---|
| Operating pedigree | AI advisory only | Fortune 100 / financial SecOps plus production AI platforms |
| Proof of outcomes | Case studies without metrics | Measured review-time, latency, or MTTD improvements on named platforms |
| Agent governance | Chatbot that “helps engineers” | Assist / Approve / Automate with simulation gates and evidence packs |
| First deliverable | Sales discovery only | Written diagnosis within 24 hours of a working session |
How is AI security consulting different from Big-4 or product-only advice?
Big-4 programs excel at governance frameworks; product vendors excel at tooling. Independent AI security consulting should bridge both: design controls for your stack, build or govern the automation that runs on it, and leave evidence an auditor can replay. Digvijay’s lane is practitioner-built systems (FirewallIQ, investigation platform, NAC coverage) inside financial-sector constraints.
If you only need ISO 42001 documentation, a large advisory firm may be enough. If you only need a SKU, buy the product. Hire an AI security consultant when the bottleneck is turning live policy, identity, and telemetry into governed automation your team will actually run.
Digvijay’s differentiator is the combination of Zero Trust / SASE / NGFW / NAC operating depth and AI systems already built for SecOps — not AppSec red teaming alone, and not strategy slides without an implementation path.
- Demand connectors to the real control plane (Panorama/FMC/ISE/Prisma), not demos on synthetic tickets alone.
- Demand least-privilege proofs or equivalent evidence for firewall and access changes.
- Demand a written artifact from the first working session before you expand scope.
How does this guide connect to a working engagement?
Use this guide to shortlist consultants; use a free 40-minute Agentic AI Standup to pressure-test one real problem. You leave with a diagnosis and a written summary in 24 hours. The AI Security Consulting vertical page describes the full engagement; this guide is the evaluation lens.
Use this guide to shortlist and pressure-test consultants. When you are ready to stress-test one real problem — RAG security, agent governance, or AI investigation latency — book a free standup. If the problem needs more than 40 minutes, you will hear what kind of help to seek, whether that is Digvijay or someone else.
For the full capability set and service framing, see the AI Security Consulting vertical page. This guide is the evaluation lens; that page is the engagement description.
What collaborators say
"While working with Digvijay on the same network engineering team but different projects, he was very responsive and with detailed accurate information every time. No matter if it was requesting where to locate documentation, identify a specific config on a device or explain how an appliance is working the way it is, you could always depend on Digvijay to get things done in a timely detailed manner."
— Matthew Calhoun, Manager of US Security Operations, Northern Trust
"Digvijay is very talented in Network Security and he comes up with different ideas to solve the problems, tracing an unknown network, understanding the situation and solving them. He introduces us to new ways to solve the issues and also makes our team aware of it."
— Vibhor Katiyar, Technical Operations Manager, Amazon Web Services
Frequently asked questions
- What should I look for in an AI security consultant for banks or hedge funds?
- Prior operating experience in regulated environments plus production AI automation (RAG, LLMs, agents) with governance and audit trails. Digvijay Parmar has 12+ years across Fortune 100 and financial institutions and builds these systems at Point72.
- Is a free discovery call useful, or is it just a sales pitch?
- The Agentic AI Standup is a working session: one real problem, diagnosis, concrete recommendations, and a written summary in 24 hours. Digvijay’s format is explicitly no pitch and no deck.
- How is AI security consulting different from traditional cybersecurity consulting?
- Traditional consulting advises on architecture and policy. AI security consulting builds systems that reason over live security data and return evidence-backed answers — automation that compresses long investigations into minutes.
- What stack should an AI security consultant know?
- Python, REST APIs, LLMs, RAG, LangChain, and LangGraph, plus the security control plane — firewalls, NAC/ISE, SASE/ZTNA, and cloud posture — so AI recommendations stay grounded in real telemetry.
- Which frameworks should an AI security SOW reference?
- At minimum: NIST AI RMF for AI risk, OWASP LLM / agentic guidance for application threats, and NIST SP 800-207 when Zero Trust is in scope. Digvijay maps those frameworks to production control planes rather than leaving them as paper controls.
- Who is Digvijay Parmar as an AI security consultant?
- An AI Security & Zero Trust Architect with 12+ years across Point72, J.P. Morgan, Cisco, and Northern Trust; author of The Gen AI Security Playbook and Architecting Zero Trust with AI; builder of FirewallIQ and AI investigation platforms used in financial-sector SecOps.
Related
Bring one real problem. Leave with a direction.
The Agentic AI Standup is a free 40-minute working session. You bring one real AI security or Zero Trust problem; you leave with a diagnosis, two or three concrete recommendations, and a written summary in your inbox within 24 hours.
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