---
title: "Digvijay Parmar | AI Security & Zero Trust Architect"
description: "Personal website of Digvijay Parmar, AI Security and Zero Trust Architect specializing in SASE, firewall automation, cloud security, NAC, and agentic security systems."
image: https://www.digvijayp.com/og-image.jpg
---
# Digvijay Parmar
**AI Security & Zero Trust Architect**

Building AI-Native Security Systems for the Identity-First Enterprise.

Zero Trust, SASE, firewall governance, and AI agents for Fortune 100 and global financial institutions.

## Profile

- Location: New Jersey, USA
- Email: Digvijay@digvijayp.com
- Phone: +1 312-678-4223
- LinkedIn: https://www.linkedin.com/in/digvijay-parmar47/
- GitHub: https://github.com/digvijay378
- Resume: https://www.digvijayp.com/Digvijay_Parmar_Resume.pdf

## Highlights

- **12+** — Years in cybersecurity
- **7000+** — Firewalls deployed at scale
- **5+** — AI security platforms built
- **3** — Published AI security books

## About

Cybersecurity architect turned AI-native security builder.

Over 12+ years I've designed, deployed, and operated security at the scale that Fortune 100 enterprises and global financial institutions demand — Zero Trust, SASE, NGFW architecture, NAC, microsegmentation, and cloud security across AWS and Azure.

Today I connect security architecture, operational telemetry, AI automation, and governance into practical systems. I build platforms that correlate firewall policy, Cisco ISE / NAC authorization logs, routing data, and infrastructure telemetry — reducing investigation time, improving audit readiness, and strengthening Zero Trust enforcement.

My work sits at the intersection of enterprise security engineering and applied AI: RAG pipelines, LLM reasoning, and agentic workflows that turn fragmented security data into evidence-backed answers.

- **Zero Trust by default:** Least privilege, continuous verification, and identity-aware segmentation as first principles — not afterthoughts.
- **Automation over toil:** Deterministic validation and AI-assisted reasoning that compress 45-minute investigations into minutes.
- **Governed AI:** AI introduced into SecOps with traceability, compliance alignment, and secure data pipelines.
- **Evidence-backed answers:** Every recommendation is grounded in policy, logs, and telemetry — audit-ready by design.

## Expertise

- **AI-Driven Security Operations** (AI SecOps): LLM + RAG pipelines that correlate telemetry, automate investigation, and surface engineering insight.
- **Zero Trust Architecture** (ZTA): Least-privilege, identity-centric access and continuous verification across hybrid estates.
- **SASE / ZTNA** (SASE): Converged network security: SWG, CASB, FWaaS, and ZTNA for secure remote access.
- **Firewall Policy Optimization** (NGFW): Detect shadowed, redundant, unused, and overly permissive rules; enforce least privilege.
- **NAC / Cisco ISE** (NAC): Identity-aware ACLs, posture, and automated remediation across the access layer.
- **Cloud Security: AWS & Azure** (Cloud): Cloud security controls, posture, and architecture for complex multi-cloud deployments.
- **Palo Alto / Cisco / Fortinet** (Vendors): NGFW architecture, Panorama, Firepower/FTD/FMC, and multi-vendor security engineering.
- **Microsegmentation** (Segmentation): Boundary design and deterministic validation to stop lateral movement.
- **RAG & LLM-Powered Automation** (RAG): Retrieval-augmented reasoning over policy, logs, and routing for security workflows.
- **Agentic Security Workflows** (Agents): AI agents that triage, classify, and remediate using LangChain & LangGraph.
- **Security Governance & Compliance** (Governance): Policy mapping to standards, audit readiness, and regulatory-aligned SecOps.
- **Financial-Sector Cybersecurity** (FinSec): Security engineered for hedge funds and global banks under SEC / OCIE constraints.

## Projects

### FirewallIQ
*AI Firewall Governance & Remediation Platform*
A decision system for firewall policy operations: set-math analysis, reachability graphs, and zero-false-deny proofs under strict change governance.

Most “policy optimizers” rely on static heuristics and metadata flags. FirewallIQ is different: its analysis engine performs real IP/CIDR/port set-mathematics to detect genuinely shadowed, duplicate, and redundant rules, computes reachability graphs across network segments, and generates zero-false-deny least-privilege proofs that mathematically guarantee no observed traffic is dropped by a proposed change. It runs end-to-end on realistic mock data out of the box, and the same connector interfaces transparently switch to live vendor APIs the moment credentials are supplied. Enterprise rulebases accumulate thousands of contradictory, risky rules that nobody dares touch — FirewallIQ solves the trust problem: it proves changes are safe before anyone approves them, explains every recommendation with computed evidence (not opaque scores), and enforces governance so nothing executes without approvals, a passed simulation, and guardrail checks.

Key metrics: 60%: less policy review time · 30%+: legacy rules removed · Audit-ready: policy traceability

Stack: Python, CIDR / Set Mathematics, Reachability Graphs, RAG, Simulation Engine, SHA-256 Evidence

  - Connectors: Palo Alto Panorama, Cisco FMC, FortiManager, Check Point, AWS, Azure, GCP, Splunk, ServiceNow, Jira

### NAC Coverage Assurance & Endpoint Visibility Platform
*Enterprise NAC Coverage Assessment & Endpoint Visibility*
Enterprise NAC coverage assessment for Cisco ISE and switch environments: eligible-port analysis, drift detection, and endpoint visibility.

I built a NAC assurance platform that connects directly to Cisco switches (extensible to other switch vendors), runs a controlled set of read-only commands, and collects interface-level configuration to determine whether each eligible port is properly secured with 802.1X, MAB, or other access-control configuration. For example, if an organization has 22,000 eligible access ports and only 21,000 are NAC-covered, the tool highlights the remaining 1,000 as security gaps for review and remediation. Intelligent eligibility logic excludes ports that should not count toward NAC coverage — specific VLANs, access point ports, uplink ports, 25G/100G ports, infrastructure links, or any custom exclusion — so reporting reflects ports that genuinely require enforcement rather than inflated numbers. Interface-level compliance analysis identifies missing 802.1X or MAB, excluded categories, and ports that belong in the overall compliance calculation. Endpoint visibility correlates MAC address data with vendor/OUI information and switchport details to profile connected devices — endpoints, cameras, IoT, access points, printers — and flag devices sitting on unsecured ports. Recurring scheduled scans (every 24 hours or weekly) diff against the prior run to detect NAC drift, such as a port that was previously protected but is now deconfigured. Email integration sends post-scan summaries with coverage numbers, deltas, newly identified gaps, and interfaces requiring attention — turning raw switch configuration into measurable NAC coverage, endpoint visibility, and actionable remediation intelligence.

Key metrics: Eligible vs covered: organization-wide NAC gaps · Drift detection: scan-to-scan delta alerts · Endpoint visibility: MAC / vendor profiling

Stack: Python, Cisco ISE, Cisco Switches, 802.1X / MAB, MAC/OUI Profiling, Scheduled Scans, Email Reporting

  - Connectors: Cisco IOS/XE Switches, Cisco ISE, Multi-vendor Switches, SMTP Email Reports, Scheduled Scan Engine

### AI-Driven Security Investigation Platform
LLM platform correlating firewall policy, Cisco ISE logs, and routing data to cut diagnostic latency by 75%.

Built an LLM-enabled network security automation framework that ingests firewall policies, NAC (Cisco ISE) authorization logs, and BGP/OSPF routing data to validate microsegmentation boundaries and enrich access alerts. Operationalized Zero Trust controls via deterministic validation of identity-aware ACLs — cutting Time-to-Answer for complex investigations from ~45 minutes to under 5.

Key metrics: 75%: diagnostic latency reduction · 45→<5 min: time to answer · 40%: faster incident resolution

Stack: Python, LLMs, RAG, LangChain, Cisco ISE, BGP/OSPF

### Zero Trust / SASE Architecture for Financial Institutions
Zero Trust and Prisma Access / SASE for large financial environments: least privilege, reduced attack surface, secure remote access.

Architected Palo Alto Prisma ZTNA for one of the world's largest financial institutions, securing thousands of remote users and high-value transaction systems. Integrated AI-driven analytics into the SASE framework for proactive detection — achieving a 30% reduction in MTTD and a 50% increase in proactive risk mitigation.

Key metrics: 30%: lower MTTD · 50%: more proactive mitigation

Stack: Prisma Access, ZTNA, SASE, AI Analytics

### Enterprise Firewall Migration Leadership
Led 35+ large-scale firewall migrations across Cisco ASA, Palo Alto, Fortinet, Check Point, Juniper, and Firepower.

Directed over 35 migrations from legacy Cisco ASA to modern Palo Alto and Fortinet NGFWs with zero downtime, alongside greenfield programs deploying 7,000+ firewalls for Cisco's largest enterprise customers. Built Python/Ansible automation for rule deployment, migration gap analysis, and compliance checks.

Key metrics: 35+: migrations led · 7,000+: firewalls deployed · Zero: downtime transitions

Stack: Cisco ASA, Palo Alto, Fortinet, Firepower, Ansible

### AI-Native Security Copilot — Nexa Copilot Concept
Security copilot concept: natural-language queries across firewalls, NAC, cloud, and policy with evidence-backed answers.

A RAG-based architecture connecting enterprise infrastructure to an NLP-driven interface through a secure hub-and-spoke model for sensitive backend controllers. Designed for national financial networks — engineers query in plain language and receive grounded, traceable answers with citations to policy and telemetry.

Key metrics: NLP: natural-language queries · Hub-spoke: secure architecture · Evidence: backed answers

Stack: RAG, LangGraph, LLMs, Python, Vector Search

## Experience

### Sr Security Consultant — Point72 Asset Management

Oct 2025 — Present · New York, USA

AI-driven security automation, firewall governance, NAC governance, Zero Trust validation, financial-sector workflows.

  - Built AI-driven security automation using Python, REST APIs, LLMs, RAG, LangChain, and LangGraph to correlate operational data and generate actionable engineering insight.
  - Developed an AI-enabled Palo Alto firewall governance & remediation platform (FirewallIQ) — cut policy review time 60% and improved audit readiness and traceability.
  - Built an enterprise NAC coverage assessment and endpoint visibility platform for Cisco ISE and switch environments — automated eligible-port analysis, drift detection, and remediation gap reporting across thousands of switchports.
  - Operationalized Zero Trust controls via deterministic validation of identity-aware ACLs and microsegmentation — reduced diagnostic latency 75% (45 min → <5 min).
  - Designed a RAG-based Security Intelligence Platform for national financial networks via a secure hub-and-spoke model.

Tags: AI Automation, Zero Trust, Palo Alto, Cisco ISE, NAC

### Senior SASE / Zero Trust Consultant — J.P. Morgan & Co.

Jun 2024 — Oct 2025 · Jersey City, USA

Prisma Access, ZTNA, SASE, AI analytics, remote access security for a global financial institution.

  - Designed and deployed Palo Alto Prisma ZTNA to enforce least-privilege access and replace traditional VPN risk.
  - Engineered AI-driven analytics within the SASE architecture — 30% reduction in MTTD and 50% increase in proactive risk mitigation.
  - Built Python / REST API solutions for security automation and real-time log analysis.
  - Led design and execution of a Palo Alto SASE proof-of-concept under strict regulatory and compliance standards.

Tags: Prisma Access, ZTNA, SASE, AI Analytics

### Senior Security Consulting Engineer — Cisco Systems

Jan 2023 — Apr 2024 · New York, USA

Fortune 100 security architecture, Cisco SASE, Firepower/FTD, ISE, Zero Trust, ransomware remediation.

  - Led customer-facing discovery, architecture, PoC execution, and production deployment for Fortune 100 environments.
  - Implemented ZTNA and microsegmentation with Cisco security solutions to prevent unauthorized lateral movement.
  - Configured Cisco SASE — CASB, ZTNA, and FWaaS — for comprehensive, seamless protection.
  - Directed technical peer reviews, mentored new hires, and delivered HLD/LLD and training curricula.

Tags: Cisco SASE, Firepower/FTD, ISE, HLD/LLD

### Senior Network Security Engineer — Altice USA

Mar 2022 — Jan 2023 · New York, USA

Firewall policy, Panorama, Cisco FMC, lab validation, cloud security controls.

  - Leveraged Panorama and Cisco FMC for unified policy enforcement and comprehensive reporting.
  - Applied deep TCP/IP, BGP, OSPF, EIGRP, NAT, and VPN expertise to architect and troubleshoot secure networks.
  - Defined cloud security controls and led on-prem-to-Azure security assessments at enterprise scale.
  - Maintained validation labs with scale, performance, and topology testing using IXIA and SPIRENT.

Tags: Panorama, Cisco FMC, Azure, BGP/OSPF

### Security Consulting Engineer — Cisco Systems

Jul 2018 — Jan 2022 · Chicago, USA

Firewall migrations, Python/Ansible automation, Zero Trust remote access, ransomware remediation.

  - Built Python and Ansible automation for rule deployment, migration gap analysis, and compliance checks.
  - Led multi-vendor migrations (Check Point, Juniper, Palo Alto, SonicWall) to Cisco Firepower Threat Defense.
  - Architected emergency Zero Trust remote access for healthcare during COVID-19 — scaled AnyConnect VPN with posture validation (HIPAA).
  - Served as lead technical consultant on Maze ransomware remediation for a Fortune 500 provider.

Tags: Firepower, Python/Ansible, VPN, Incident Response

### Network Security Engineer — Northern Trust Corporation

May 2017 — Apr 2018 · Chicago, USA

FirePOWER, Cisco ISE, Gigamon, secure network architecture for banking.

  - Configured FirePOWER 9300 clustered mode and integrated Cisco ISE for automated remediation.
  - Completed Cisco ACS to Cisco ISE 2.2 migrations using automated and manual processes.
  - Deployed Gigamon network security tap and analysis tooling.
  - Validated architecture and design to produce detailed engineering specifications.

Tags: FirePOWER 9300, Cisco ISE, Gigamon, Banking

### Network Security Engineer — Capgemini

Sep 2014 — Dec 2015 · Bengaluru, India

Palo Alto, Cisco ASA, Sourcefire, VPNs, incident/change management, data center security.

  - Configured Palo Alto / Cisco ASA firewalls, zone-based firewalling, and security rules.
  - Managed Sourcefire NGIPS/IDS and analyzed results for threat response.
  - Built site-to-site IPsec VPN tunnels between client and partner sites.
  - Handled incident and change management and data center connectivity troubleshooting.

Tags: Palo Alto, Cisco ASA, Sourcefire, IPsec VPN

## Books

- **The Gen AI Security Playbook** — Practical Defenses for GenAI Applications. A practitioner's playbook for defending GenAI — covering model risk, secure data pipelines, prompt and context threats, and governance for AI in the enterprise.
Link: https://a.co/d/05j8PcdN
- **Architecting Zero Trust with AI** — Modern Zero Trust architecture, AI-augmented. How to design and implement modern Zero Trust architectures augmented with AI — from identity-centric access and microsegmentation to AI-driven detection and response.
Link: https://a.co/d/0j8Eymbr
- **AI Awareness for High School Students** (upcoming) — Building AI literacy & safety for the next generation. An upcoming book that makes AI literacy, safety, and responsible use accessible to high-school students — covering privacy, security fundamentals, and critical thinking for the AI era.

## Research Interests

- **AI Anomaly Detection for Industrial IoT:** Resilient, lightweight ML models for real-time anomaly detection on resource-constrained critical-infrastructure hardware.
- **Generative AI × Zero Trust Integration:** Embedding GenAI into Zero Trust architectures for endpoint security — supporting SMBs and supply-chain security.
- **Adversarial Training:** Hardening AI models against data manipulation and sensor-spoofing attacks through adversarial techniques.
- **Secure AI Data Pipelines:** Designing pipelines that protect model integrity and provenance end-to-end across the AI lifecycle.
- **AI Security for SMBs & Supply Chain:** Accessible, deployable AI security patterns for smaller organizations and complex supply chains.
- **Lightweight Real-Time Threat Models:** Efficient models that enable real-time threat detection and automated response at the edge.

## Skills

### AI & Automation
- Python
- REST APIs
- LLMs
- RAG
- LangChain
- LangGraph
- AI Agents
- Prompt Engineering
- Context Engineering
- CI/CD

### Security Architecture
- Zero Trust
- SASE
- ZTNA
- Microsegmentation
- Firewall Governance
- NAC
- IAM
- DLP
- Incident Response

### Vendors & Platforms
- Palo Alto
- Prisma Access
- Cisco ISE
- Cisco Firepower/FTD
- Cisco SASE
- Fortinet
- AWS
- Azure
- Splunk
- CrowdStrike
- SentinelOne
- Tenable

### Network Security
- TCP/IP
- VPN
- BGP
- OSPF
- NAT
- IDS/IPS
- Proxy
- Web Security
- Cloud Security Controls

## Certifications & Education

- Cisco Security Core
- IBM Gen AI Security Professional
- Azure AZ-500 Security
- CCNA & CCNP (Security / R&S)
- PCNSE — Palo Alto
- AWS Solutions Architect

**M.S. in Cybersecurity** — DePaul University, Chicago (2018)

## FAQ

### Who is Digvijay Parmar?
Digvijay Parmar is an AI Security & Zero Trust Architect with 12+ years across Fortune 100 and global financial institutions, building AI-native security automation with RAG, LLMs, and AI agents.

### What is FirewallIQ?
FirewallIQ is his flagship firewall policy decision system. It uses IP/CIDR/port set-mathematics and reachability graphs to detect shadowed, duplicate, and redundant rules, and generates zero-false-deny least-privilege proofs under a strict change-governance workflow.

### What is the NAC Coverage Assurance Platform?
An enterprise NAC assurance and endpoint visibility platform for Cisco ISE and switch environments. It measures organization-wide 802.1X/MAB coverage, identifies ports missing NAC controls with intelligent eligibility logic, detects configuration drift between scans, and provides endpoint visibility via MAC/vendor profiling.

### How can I contact or hire Digvijay?
Use the contact form on this site, email Digvijay@digvijayp.com, or connect on LinkedIn at linkedin.com/in/digvijay-parmar47.

## Contact

Use the contact form on the website or reach out directly:
- Email: Digvijay@digvijayp.com
- LinkedIn: https://www.linkedin.com/in/digvijay-parmar47/
- GitHub: https://github.com/digvijay378

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