The NIST AI Risk Management Framework: The Foundation to Build Your AI Governance Program Upon
Three-quarters of companies have an AI policy. Few have a governance program. Here's why the NIST AI RMF is the framework to build one on.
Find flaws in AI Systems
Find flaws in web, mobile, and IoT applications.
Live-fire exercises to sharpen detection and response.
Time-boxed security assessments across networks, apps, and infrastructure.
Simulated attacks to test detection and incident response.
Named security experts integrated seamlessly into your team.
Real-time detection and automated threat response.
24x7 monitoring and response by expert analysts.
Detection-focused SIEM migration without visibility gaps.
UltraViolet's proprietary AI platform powering all application penetration testing.
Unified security platform powering all UV services.
Cross-platform toolkit for advanced red team ops.
UltraViolet Cyber provides security services across the AI lifecycle, combining strategy, threat modeling, adversarial testing, monitoring, and training to support secure AI adoption.
Learn how a major U.S. airport operator achieved 24/7 threat detection, improved security maturity, and ...
Secure your code, infrastructure, and deployment pipelines before attackers exploit them.
Three-quarters of companies have an AI policy. Few have a governance program. Here's why the NIST AI RMF is the framework to ...
AI Governance by DesignAn Architecture-Aware Approach for Embedding Governance into AI Systems
UltraViolet Cyber is a practitioner-led MSSP delivering offensive and defensive security to Global 2000 and Federal clients. Built by former intelligence operators, we unify application security, red teaming, detection, and engineering under one roof. Our UV Lens platform replaces silos with integrated, outcome-driven operations.
Every major enterprise is integrating AI into core operations. But AI doesn’t just increase productivity. It concentrates privilege, expands attack surface, and automates risk. If your AI systems are secured the same way as legacy software, you are blind to the most dangerous behaviors. UltraViolet Cyber provides security services across the AI lifecycle, combining strategy, threat modeling, adversarial testing, monitoring, and training to support secure AI adoption.
Establish the governance, policies, and operational practices required to securely adopt AI. Gain visibility into your AI risk posture and a clear roadmap for implementing security controls across development, deployment, and ongoing operations.
Identify how adversaries could exploit your AI systems before they are deployed. Map attack paths across models, prompts, APIs, agents, and data pipelines to uncover risks such as prompt injection, model manipulation, and data leakage.
Adversarial testing that simulates how attackers target AI-enabled applications before they reach production. Evaluate prompt injection, jailbreak attempts, sensitive data exposure, guardrail enforcement, and model misuse across models, APIs, and integrations.
Practitioner-led training that equips development and security teams to build and operate AI systems securely. Learn how to apply secure development practices across the AI lifecycle, from model design and data handling to deployment and operations.
Flexible Engagement Models Whether co-managed, fully outsourced, or embedded, we adapt to your team, your tech stack, and your mission.
Financial Services Firm Secures Internal LLM Applications
Financial Services
Global Financial Institution
A global financial services organization engaged UltraViolet Cyber to assess the security of new internal AI tools used by employees for research, advisor preparation, and financial analysis.
Advanced AI security findings delivered to the development team
Security controls strengthened before broader rollout
Additional AI applications added to the testing roadmap
Discover go-to content for every organization looking to increase cyber readiness and resilience.
AI systems introduce unique risks—from hidden data flows to complex model behaviors—that traditional application threat modeling simply doesn’t capture. Our AI Threat Modeling service provides a structured, model‑aware evaluation of how your AI application could be misused, manipulated, or compromised, and what controls are needed to secure it.
We analyze architectures, integrations, model endpoints, training pipelines, and platform configurations to identify risks specific to your AI environment—not just your application surface.
Understand your current AI security posture, benchmark it against peer organizations, and receive a clear, prioritized roadmap for strengthening governance, engineering controls, and runtime protection.
Get in touch to start with an AI Security Program Assessment.