FCI

FCI & AI

AI in Cybersecurity

Implementation of AI tools can put your entire firm at risk.

FCI has been where AI meets cybersecurity for nearly a decade — using AI to protect, using AI to analyze, protecting clients from AI, and helping clients govern AI. This is operational heritage, not a marketing angle.

2017

AI-driven threat detection since

40,000+

endpoints protected by AI

400+

financial services environments

The Problem

AI is the fastest-moving risk in financial services — and most firms have no controls in place.

AI tools can process data at the speed of hundreds of thousands of humans. Without data classification and access controls, a single employee with broad access and an AI tool can expose an entire organization's NPI in seconds. AI may already be embedded in many cloud applications firms use. Standalone AI tools are proliferating faster than policies can keep up. Regulators are already asking about AI governance — acceptable use, vendor risk, data classification. Most firms cannot answer these questions today.

Shadow AI

Employees and affiliates may be using AI tools without the firm's knowledge or approval. Data entered into unauthorized AI tools may be stored, used for training, or exposed to third parties.

Embedded AI

AI features are being added to existing cloud applications — M365, CRM platforms, productivity tools — often without explicit notification. Default settings may expose firm data to AI processing the firm never authorized.

Speed of Exposure

A receptionist with broad access and an AI tool can process data at the speed of hundreds of thousands of humans. Without data tagging and access controls, the exposure is irrecoverable in seconds.

Regulatory Pressure

SEC, FINRA, NAIC, and state regulators are asking about AI governance. Acceptable use policies, vendor due diligence, data classification — these are no longer optional.

The Question Every Firm Should Ask

Does your firm know which AI tools your employees are using, what data they are entering, and whether your cloud applications are sharing firm data with AI models?

Framework Foundation

Aligned with CISA's Zero Trust Maturity Model 2.0

FCI's approach to cybersecurity is aligned with the Zero Trust Maturity Model 2.0, published in April 2023 by the Cybersecurity and Infrastructure Security Agency (CISA). The ZTMM defines five pillars — Identity, Devices, Networks, Applications & Workloads, and Data — plus cross-cutting capabilities including visibility, automation, and governance. FCI's six security domains map directly to this framework, translating federal guidance into the specific controls, enforcement, and evidence that financial services regulators expect.

Read the CISA ZTMM 2.0

How FCI Uses AI

FCI has been deploying AI in cybersecurity since 2017 — years before the current wave.

FCI's relationship with AI is not new, not reactive, and not a marketing angle. It is a decade-long operational capability.

AI-Driven Threat Detection (Since 2017)

Traditional detection matches known attack patterns. AI-driven detection identifies behavioral anomalies — deviations from baseline that indicate a threat even when the attack has never been seen before. Across 40,000+ endpoints, threats are caught faster with fewer false positives.

AI-Enhanced SIEM & Log Analysis

AI within Security Information and Event Management operations analyzes log data at a scale and speed manual analysis cannot match. Patterns indicating lateral movement, unusual access, and credential misuse are surfaced before they become incidents. Every flagged event creates a forensic trail for compliance evidence.

Extended Detection & Response (XDR)

FCI is expanding AI-powered analysis beyond the endpoint to look across multiple systems simultaneously — determining whether activity warrants investigation across all security domains. The natural evolution of FCI's multi-domain approach, amplified by AI.

Rapid Portal Development

FCI leverages AI in its own codebase to add features and functions to the FCI Portal at a pace competitors cannot match. The tool security officers depend on is getting better faster.

How FCI Governs AI

Protecting firms from AI is as important as using AI to protect them.

Cloud Application AI Hardening

Review and enforce controls on how AI features interact with the firm's data within cloud applications. Configure which AI features are enabled, restricted, or blocked entirely — based on the firm's cybersecurity program and regulatory expectations. The firm defines the policy. FCI implements the technical controls.

Acceptable Use AI Policy

Define how employees and affiliates may use AI tools, what data may be entered, what disclosures are required, and how AI outputs are reviewed before use. Not optional — regulators are already asking about it.

Vendor Risk Management

Due diligence on every AI vendor and solution. Who processes the data? Where is it stored? Can the vendor's AI model be trained on your firm's client data?

Data Classification

Clearly identify what is NPI so AI systems know what they can and cannot consume. Without classification, there is no enforcement. With it, DLP and access controls become meaningful.

Endpoint AI Controls

Enforcement can go as far as the firm's program requires — from selective restriction to full prohibition of specific AI tools on firm-controlled endpoints. Web controls and app controls block unauthorized AI access at the device level.

How FCI Is Different

FCI has been where AI meets cybersecurity longer than most firms have been thinking about it.

What Sets FCI Apart

FCI has been where AI meets cybersecurity longer than most firms have been thinking about it.

Proven Heritage

Not a company that added an "AI" badge to its marketing. AI-driven threat detection since 2017. AI-enhanced SIEM. Now XDR. Each chapter built on the one before.

Dual Capability

FCI both deploys AI to protect firms and helps firms govern AI. Most providers can do one or the other. FCI does both because the two are inseparable.

Financial Services Expertise

AI governance in financial services is not the same as AI governance in general. The regulatory requirements (SEC, FINRA, NAIC), the data sensitivity (NPI), and the compliance obligations are specific. FCI brings 30+ years of this context.

Enforcement, Not Just Policy

Anyone can write an AI acceptable use policy. FCI enforces it — through endpoint controls, cloud app hardening, and data classification that make the policy technically binding.

"The progression is natural — from using AI to protect, to using AI to analyze, to protecting clients from AI, to helping clients govern AI. Each chapter built on the one before it."

What You Can Prove

Evidence that AI risk is governed — not just acknowledged.

Regulators, home offices, and cyber insurance carriers all ask the same question: can you prove it? FCI produces continuous evidence as a byproduct of how it operates.

AI Policy Documented

Acceptable use policies for employees and affiliates, documented and enforceable.

Vendor Due Diligence

Every AI vendor assessed — data handling, storage, model training practices.

Data Classified

NPI identified and tagged so AI systems and DLP tools know what they cannot access.

Controls Enforced

Cloud app AI features configured, endpoint AI access controlled, restrictions verified.

Threats Detected by AI

AI-powered anomaly detection across endpoints, SIEM, and XDR — documented.

FCI Portal Evidence

All AI governance evidence accessible in the FCI Portal — current and historical.

FINRA SEC NAIC State Regulators Cyber Insurance Home Office Compliance

Ready to govern AI before your regulator asks how?

FCI works with broker-dealers and branch offices, insurance carriers and agencies, and RIAs. Start with a gap analysis — in 30 minutes, you'll see where your firm stands on AI risk.

Phone

973-227-8878

Web

fcicyber.com