AI Security Consulting
AI Security Consulting for the Zero Trust Enterprise
Digvijay Parmar is an AI security consultant who has spent 12+ years architecting and operating security for Fortune 100 enterprises and global financial institutions, and now builds AI-native security automation in production as a Senior Security Consultant at Point72 Asset Management.
What an AI security consultant actually does
An AI security consultant applies large language models, retrieval-augmented generation (RAG), and agentic workflows to real security operations — not slideware. The work correlates firewall policy, identity and access logs, routing data, and infrastructure telemetry so engineers get evidence-backed answers instead of 45-minute manual investigations.
My current role at Point72 Asset Management is to build exactly that: AI-driven security automation using Python, REST APIs, LLMs, RAG, LangChain, and LangGraph that correlates operational data and turns it into actionable engineering insight. The platforms I have shipped — FirewallIQ and an AI-Driven Security Investigation Platform — run on realistic production-shaped data and switch transparently to live vendor APIs the moment credentials are supplied.
The difference between an AI security consultant who has operated security at scale and one who has not is simple: the first designs AI around the controls, governance, and evidence trail a Fortune 100 environment demands. The second builds a demo.
Why financial services and Fortune 100 environments are different
Hedge funds and global banks operate under SEC and OCIE constraints where every change must be traceable, every recommendation audit-ready, and every AI decision governed. I have delivered security engineering for Point72 Asset Management, J.P. Morgan, Cisco Systems, Altice USA, Northern Trust, and Capgemini — the kind of environments where a wrong firewall change or an ungoverned AI recommendation is expensive.
In financial environments, AI is introduced with traceability, compliance alignment, and secure data pipelines. Every recommendation is grounded in policy, logs, and telemetry — audit-ready by design. That is the standard I build to, and the standard an AI security consultant should be measured against for regulated industries.
What I have built and the results it produced
FirewallIQ is my flagship AI firewall governance and remediation platform. It ingests firewall rules, network topology, applications, owners, traffic evidence, and compliance context, then performs real IP/CIDR/port set-mathematics to detect shadowed, duplicate, and redundant rules, computes reachability graphs, and generates zero-false-deny least-privilege proofs under a strict change-governance workflow. It cut policy review time by 60% and improved audit readiness and traceability.
The AI-Driven Security Investigation Platform correlates firewall policy, Cisco ISE / NAC authorization logs, and BGP/OSPF routing data to automate investigation workflows and validate Zero Trust segmentation. It reduced diagnostic latency by 75% — taking time-to-answer on complex investigations from roughly 45 minutes to under 5.
At J.P. Morgan, I engineered AI-driven analytics within a Palo Alto Prisma Access / SASE architecture, achieving a 30% reduction in mean time to detect and a 50% increase in proactive risk mitigation for a global financial institution.
What a working session covers
I run a free 40-minute Agentic AI Standup for security leaders deploying AI agents, LLM applications, or Zero Trust. You bring one real problem; you leave with a diagnosis, two or three concrete recommendations specific to your stack, and a one-page written summary in your inbox within 24 hours.
There is no pitch and no deck. If your problem needs more than 40 minutes, I will tell you what kind of help to look for — whether that is me or someone else.
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
Stack & tooling
Related work
Frequently asked questions
- What does an AI security consultant do?
- An AI security consultant applies LLMs, RAG, and agentic workflows to security operations — correlating firewall policy, identity logs, routing, and telemetry to automate investigation, validate Zero Trust, and produce audit-ready recommendations. Digvijay Parmar builds and operates these systems in production at Point72 Asset Management.
- 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 your live security data — firewall rules, NAC logs, routing — and return evidence-backed answers. The output is automation that compresses 45-minute investigations into minutes, not a slide deck.
- Is AI security consulting safe for regulated financial environments?
- Yes, when it is built with governance. Digvijay introduces AI into SecOps with traceability, compliance alignment, and secure data pipelines — every recommendation grounded in policy, logs, and telemetry. He has delivered this for Point72, J.P. Morgan, and other financial institutions under SEC and OCIE constraints.
- How much does it cost to engage an AI security consultant?
- The first 40-minute Agentic AI Standup is free. Bring one real AI security or Zero Trust problem and leave with a diagnosis and a written summary in 24 hours. Deeper engagements are scoped from there — book a free session to get a concrete read on your problem first.
- What stack does Digvijay use for AI security automation?
- Python, REST APIs, LLMs, RAG, LangChain, and LangGraph for the AI layer; Palo Alto, Cisco ISE, Cisco Firepower/FTD, Fortinet, AWS, and Azure for the security layer; Splunk, CrowdStrike, and SentinelOne for telemetry. Every platform is built to switch from mock data to live vendor APIs the moment credentials are supplied.
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 consulting problem; you leave with a diagnosis, two or three concrete recommendations, and a written summary in your inbox within 24 hours. Three slots open each week.
Book your free session See how it works