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AI Security Study: Closing the Gap in Enterprise AI Security

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FINANCIAL SERVICES

Financial Services Security That Holds Up Under Real Pressure 

See how your defenses perform against real adversary behavior. UltraViolet brings practitioner-led, AI-accelerated offensive and defensive security together to address exposure and sharpen detection and response across identity, digital banking, payments, third party risk, and AI systems.



Book a Working Session

~15,000

Investigations run every month

7,000+ 

 Security assessments delivered annually

400+

Global 2000 and federal customers

30+ yrs

Securing the world's most complex organizations

THE POWER OF PURPLE

Keep Money Moving and Prove Defenses Hold

The Power of Purple brings offense and defense together as one program, so each continuously sharpens the other — continuous security validation and real-time defense, working together, not in rotation. The result is protected customer access, financial operations that keep running, and evidence for customers, boards, and examiners that closes the gap between what's tested and what's detected.


Strengthen Defenses Against Real Tradecraft

Find weaknesses across banking applications, payment APIs, AI, and infrastructure. Findings sharpen SOC detections and response playbooks, validated through purple team exercises.


Protect Critical Financial Operations

Find weaknesses across banking applications, payment APIs, AI, and infrastructure. Findings sharpen SOC detections and response playbooks, validated through purple team exercises.

Prove Your Defenses Hold Up Under Scrutiny
CREST-accredited testing and documented remediation give customers, your board, and regulators clear proof of detection and response, not just a report.
Transformational MSSP
No. 19 Managed Security Service Provider
No. 2642 Fastest-Growing Private Company 
Trailblazing MSSP 
Customer Outcomes

Modernizing SIEM Operations Without Disrupting Detection

Read the Full Case Study

A Phased SIEM Migration Built for Scale and Continuity

Financial Services

A global digital banking provider needed to move from an existing SIEM processing more than 70 TB each day without disrupting security operations. UltraViolet Cyber led a phased migration to SentinelOne, modernizing detections and preserving continuity throughout.

 

The Challenge

  • The existing SIEM was processing more than 70 TB of data each day, driving up licensing and infrastructure costs.
  • More than 4,000 saved searches, alerts, and dashboards had to be accounted for before any migration could move forward.
  • Security operations needed to keep running throughout the transition, leaving little room for downtime or gaps in coverage.
  • Existing detection logic had been built over time and needed to be carefully preserved, rebuilt, and validated in the new platform.
  • As the environment grew, the legacy platform was becoming harder to scale and less responsive for day-to-day security operations.

The Solution

  • UltraViolet Cyber built a phased migration plan that allowed the organization to modernize its SIEM without disrupting ongoing security operations.
  • Parallel data ingestion gave the team time to validate data quality and performance before moving critical workloads into production.
  • More than 4,000 searches, alerts, and dashboards were reviewed and rebuilt to work effectively within the new SentinelOne environment.
  • Detection logic was refined during the migration to improve performance while preserving the security use cases the team already relied on.
  • Structured testing, validation, and stakeholder coordination helped maintain operational continuity from the first migration phase through final cutover.

Built on Regulations, Frameworks, and Standards That Make Security Measurable 

Engagements map findings and defensive coverage to established regulations, frameworks, and standards, giving your team a consistent way to measure exposure, validate progress, evaluate AI risk, and communicate resilience to boards, regulators, and examiners.

USE CASES WE SOLVE

Aligned to the Work That Matters

Start with your highest-priority risks, then align testing, detection, response, and validation with your financial technology environment, release schedule, and operational demands. Give your security team, developers, and SOC practical next steps to protect customer data, secure transactions, and keep banking and payment services running.

Test AI Systems Before They Reach Production

Find security weaknesses in LLMs, agents, and AI-powered tools before they're rolled out to employees, advisors, or customers.

AI Security Services · Penetration Testing Services

Turn SOC Coverage Into Audit Evidence

Get continuous Managed SOC monitoring that closes the loop: from alert, to review, to evidence your team can point to.

Managed SOC  ·  Dedicated Defense 

Test Web, Mobile, and API Applications

Find security weaknesses in banking applications, APIs, and the infrastructure and exposed services behind them, before they provide a path to critical systems.

Penetration Testing Services · Application Security Testing

Test the Vendor Applications Connected to Your Systems

Assess the third-party applications and partner integrations inside your environment, so vendor-risk reviews aren't relying on paperwork alone.

Application Security Testing · Penetration Testing Services

Show How Controls Hold Up Under Pressure

Validate controls and produce audit-ready efvidence to support regulatory reviews and board reporting, documenting how defenses perform under real-world conditions.

Red Team Engagements · Purple Teaming

Test Detection Against Real Attacker Behavior

Run purple team engagements against real threat actor profiles, then use the results as evidence for your own audit and continuous-improvement reporting.

Managed SOC · Purple Teaming

Frequently Asked Questions

We’re deploying AI in customer-facing and internal systems. How do you test it?

We assess how attackers could exploit your AI systems and the applications, data, and infrastructure connected to them. Depending on your environment, testing combines attack surface discovery, cloud configuration review, and adversarial testing of models, agents, and orchestration layers, mapped to MITRE ATLAS. Findings help your security and development teams prioritize fixes and inform AI governance decisions. Where we provide detection and response, those findings sharpen what we hunt next.