FCI & AI

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.

2017

AI-driven 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.

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.

How FCI Uses AI

AI-powered protection across 40,000+ endpoints — since 2017.

FCI's AI capability is operational heritage, not a marketing angle.

AI-Driven Threat Detection

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. Since 2017.

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.

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.

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.

FCI helps firms define AI policy, enforce AI controls, and produce evidence that AI risk is governed.

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.

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.

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.

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.

How FCI Is Different

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.

Enforcement Not Just Policy

Anyone can write an AI acceptable use policy. FCI implements the technical controls that enforce it — through endpoint controls, cloud app hardening, and data classification.

What You Can Prove

Evidence that AI risk is governed — not just acknowledged.

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

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