Enterprise Security for Financial Institutions

ExposureManagementWithAIAgentsforFinancialInstitutions

Prioritize what attackers can actually exploit. Move beyond compliance-driven vulnerability queues to exposure prioritization that reflects financial risk.

Industry Landscape

Financial Services Sub-Industry Analysis

44%

Banks cite "unknown security gaps" as ransomware root cause. Nearly half of financial institutions are breached through vulnerabilities they didn't know existed - proving detection alone isn't enough.

Source
12.5%

Increase in destructive attacks targeting banks. Threat activity is shifting from disruption to irreversible operational damage.

Source
50%+

Banks affected by supply-chain security events. Exposure increasingly originates outside direct infrastructure ownership.

Source

Why Prioritization Breaks in Banks

Banks operate under continuous regulatory oversight while running deeply interconnected systems across core banking, payments, cloud infrastructure, and third-party services. The issue is not lack of findings. It is lack of validated exposure. When prioritization is driven by severity scores and compliance requirements, teams fix what is reported instead of what attackers can actually use.

Siloed visibility across core banking, cloud, and vendors
Severity scores ignore asset criticality and transaction risk
Exploitability is assumed instead of validated
Compliance-driven queues divert attention from real exposure
Use Cases

OneExposureEngine-End-to-EndSecurityExecution

Exposure is identified, prioritized, validated, and acted on across CTEM stages without fragmentation.

Strobes unifies the Exposure Assessment Platform and Adversarial Exposure Validation into a single workflow. Instead of switching between disconnected tools for scanning, prioritization, and testing, financial institutions get continuous visibility from discovery through remediation - with every decision grounded in validated exploitability and business impact.

EAP

ExposureAssessmentPlatform

Unified discovery, prioritization, and reporting in a single exposure view, where risk decisions reflect financial and regulatory impact instead of disconnected signals.

  • Attack Surface Discovery
    Continuous visibility into external and internal assets as environments change
  • Vulnerability Prioritization
    Rank vulnerabilities based on exploitability, asset criticality, and regulatory consequence
  • Finding Correlation
    Deduplicate and connect findings across scanners and security tools to reduce noise and clarify true exposure
  • Reporting
    Template-based, audit-ready reports with clear prioritization, evidence, and remediation status
Exposure Assessment
Live
142
Web Apps
89
APIs
216
Cloud
1,847
Endpoints
Prioritized Findings
Critical
12
High
47
Medium
183
Low
412
2,294
Assets
654
Findings
3%
Actionable
AEV

AdversarialExposureValidation

Move from theoretical risk to proven exposure. Validate which vulnerabilities are actually exploitable in your environment before attackers do.

  • Exploitation Testing
    Safely validate which vulnerabilities are exploitable
  • Attack Path Analysis
    Trace how attackers chain exposures to reach crown jewels
  • Control Validation
    Test whether existing security controls block real attack techniques, not just policy requirements
  • Evidence-Based Reporting
    Proof-of-exploitation for audit and compliance
Adversarial Validation
In Progress
Recon
Exploit
Validate
Report
Attack Paths Identified
TargetChainExploitableRisk
Payment API3 hopsYESCritical
Auth Service2 hopsYESHigh
Admin Portal4 hopsNOMedium
Data Store5 hopsYESCritical
4
Paths Found
3/4
Exploitable
75%
Validated
AI-Powered

Strobes AI Advantages

Purpose-built AI agents that understand financial services security, not generic LLM wrappers.

Autonomous Triage

AI agents analyze and prioritize findings without manual intervention. Security teams can't deliver 24/7 monitoring on their own

Context-Aware Reasoning

Understands business context, regulatory requirements (PCI DSS, SOX, FFIEC, GLBA), and operational constraints specific to financial services

Workflow Automation

Orchestrates remediation across security and IT teams with full change control alignment for regulated environments

Natural Language Queries

Ask questions about your exposure posture in plain language, no SQL, no manual reports

24/7 Operations

Never-sleeping agents monitor exposure changes in real-time and escalate what matters

Privacy & Guardrails

Data remains in your environment. AI operates under policy-enforced boundaries with human-in-the-loop approval for critical actions and full audit trails.

Stop Audit Scrambles with AI Agents Capturing Evidence in Real Time

AI agents record exposure validation and remediation activity as it happens across financial environments. Compliance reporting becomes structured output from exposure management, not a separate quarterly effort. Evidence remains clear, defensible, and aligned to regulatory and operational expectations.

PCI DSS · SOX · FFIEC · GLBA

Compliance

Built-in Regulatory Alignment

Defensible Financial Exposure Records

Exposure validation and remediation decisions are preserved with business and regulatory context, eliminating reconstruction before audits.

  • Validated exposure context: Evidence reflects confirmed exploitability within financial infrastructure, not theoretical severity
  • Remediation traceability: Actions, ownership, and status updates remain linked to the originating exposure
  • Financial impact linkage: Findings connect to transaction systems, customer data, and revenue-critical services
  • Structured reporting foundation: Evidence is organized to support repeatable regulatory reporting

Exposure decisions withstand regulatory review because they are grounded in documented proof.

CTEM Framework

How Strobes Drives Exposure - From Signal to Action

In financial environments, exposure breaks down when each stage operates in isolation. Strobes aligns the exposure lifecycle end to end, consistent with the CTEM framework, so prioritization, validation, and response reflect real financial risk rather than fragmented signals.

01

Scoping

The platform defines and locks critical business workflows, sensitive data paths, and high-impact assets into scope. Security effort stays focused on what would cause real financial or regulatory damage.

02

Discovery

Assets, connections, and exposures are continuously surfaced across applications, cloud infrastructure, APIs, and external attack surface, keeping visibility current as environments change.

03

Prioritization

The platform elevates exposures that attackers can realistically exploit, factoring in business impact and regulatory consequences. Severity alone never dictates action.

04

Validation

Exploitability is confirmed in context before the remediation effort is committed. Assumptions are removed, and teams act on proven exposure rather than reported noise.

05

Mobilization

Remediation moves forward with evidence and execution context aligned to change control and uptime requirements. Action progresses without rework, debate, or false urgency.

Key Insight

Howa$3.7BFinancialFirmFoundandClosedaCriticalAttackPathHiddeninPlainSight

A routine external scan revealed several vulnerabilities that initially seemed manageable. But as the security team correlated findings across systems, they uncovered a critical attack path that could compromise customer data and regulatory compliance.

Explore the Case Study →

100+
Integrations

Aggregate findings from every scanner and security tool in your stack

70%
Noise Reduced

Deduplication and risk-based prioritization cut through alert fatigue

24h
Mean Time to Fix

Critical findings remediated within SLA with automated routing

3%
Actionable Risk

Focus on the findings that actually matter to your business

FAQ

Frequently Asked Questions

Every Unvalidated Exposure Is a Bet on Your Balance Sheet

Stop assuming. Start knowing what attackers can actually reach in your financial environment.