AI Security
Balance risk and opportunity with AI
Harness AI's potential while mitigating emerging threats and promoting secure, compliant and ethical use across the organization.
AI security solutions
Innovate confidently
Balancing innovation with risk management is critical to protect operations, reputation and compliance. AI is not a silver bullet, but its applications in cybersecurity are vast and transformative and should be an indispensable tool in every security leader's arsenal.
Embracing AI-driven cybersecurity allows organizations to improve the efficiency of their security operations, reduce human error, and stay ahead of threats.
Increase operational speed and efficiency
Augment staff to offset the talent shortage
Maintain operations if an AI tool is breached
Stay compliant with evolving regulations
Maintain reputation and customer trust
Avoid costly recovery efforts
Defending at the Speed of AI
Research Highlight
Defending at the Speed of AI
Mythos changed everything. Working exploits are now generated in minutes. Every vulnerability is a practical target. Response teams cannot outpace AI-accelerated attackers operating as coordinated swarms. This plan is your starting line, not your finish line.
Use these 12 recommendations to buy the time you need to build a deeper, more adaptive security architecture, capable of defending at the speed of AI.
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Our approach to securing AI
Years of AI experience, delivered securely
As leading AI innovators, we strive to empower organizations to harness AI's power securely and responsibly. Whether optimizing AI security capabilities, mapping AI systems to relevant standards or leveraging AI security solutions to enhance defense strategies, our AI security consulting equips you with actionable insights to protect AI systems, detect misinformation and prevent misuse.
Securing AI systems
We evaluate the entire AI ecosystem to mitigate threats such as prompt injection, data poisoning and model theft, ensuring AI is deployed safely and responsibly.
Defending with AI
By leveraging AI to accelerate detection, triage, and response, we help organizations stay ahead of evolving threats and defend at machine speed.
Securing AI usage
By educating users and enforcing AI policies, we help organizations integrate external AI services into enterprise workflows safely and securely.
AI Readiness Model for Operational Readiness (ARMOR)
Adopt AI swiftly and confidently
AI systems concentrate decision-making, data processing and infrastructure control into fewer, more powerful platforms. Frameworks are essential, not just to secure this era of AI-powered centralization, but to guide its responsible adoption.
Our AI Readiness Model for Operational Readiness (ARMOR) is a comprehensive, modular and standards-aligned solution that is delivered by WWT and leverages a jointly developed framework with NVIDIA to serve as the operating system for secure and resilient AI adoption.
ARMOR aligns with global standards like NIST, ISO/IEC 42001 and the EU AI Act. With modular domains, maturity models and measurable KPIs, this model helps you to scale AI confidently and transparently.
Ensure AI systems are ethical, transparent and legally compliant by embedding oversight and accountability throughout the AI lifecycle.
Protect AI models from tampering, theft and adversarial attacks to maintain their integrity and trustworthiness.
Secure the physical and virtual environments — such as GPUs, DPUs and cloud platforms — that power AI, preventing unauthorized access or manipulation.
Enables real-time monitoring, threat detection and incident response to keep AI systems resilient and safe during active use.
Embed security into every stage of AI software creation, from design to deployment, to prevent vulnerabilities like prompt injection.
Safeguard sensitive data used in AI — from training sets to outputs — through encryption, access controls and compliance.
Explore more AI solutions at WWT
AI Proving Ground
Everything AI. All in one place.
The AI Proving Ground (AIPG) provides unrivaled access to the world's leading AI technologies. Powered by our Advanced Technology Center, this unique lab environment accelerates your ability to learn about, test, train and implement AI solutions.
Our work
Learn how we've helped organizations secure AI systems and usage
AI Security Experts
Meet our experts
Realize your AI security vision
For organizations that recognize AI's potential, this accelerator provides a clear roadmap of priorities and recommended action to ensure security, trust and compliance.
AI Security FAQs
Frequently asked questions
Explore common questions about AI security, AI security solutions, and what CISOs and security teams need to know.
Artificial intelligence security refers to the strategies, technologies and practices that protect artificial intelligence systems, data and workflows from evolving threats. It encompasses securing AI models, APIs and infrastructure against risks like prompt injection, data poisoning and model theft, while also ensuring responsible use of generative AI across the enterprise.
Effective AI security solutions combine governance, risk management and compliance with technical safeguards to maintain trust, prevent misuse and align with regulatory standards. In short, AI security helps organizations harness the power of AI safely and ethically, mitigating emerging risks while enabling innovation.
The biggest security risks associated with AI include threats to data integrity, model theft, prompt injection and adversarial attacks that can manipulate or compromise AI systems. As organizations accelerate AI adoption, risks such as shadow AI (unapproved AI usage), data poisoning and vulnerabilities in APIs or model files become more prevalent.
These risks can lead to compliance violations, intellectual property loss and operational disruptions if not proactively managed. A comprehensive artificial intelligence security strategy is essential to safeguard both the technology and the data it processes, ensuring trust and resilience in AI security solutions.
Using AI for security means leveraging artificial intelligence to enhance traditional cybersecurity operations, such as automating threat detection, incident response and policy enforcement. In contrast, securing AI itself focuses on protecting the AI systems, models and data from unique threats like adversarial attacks, model theft and misuse. While AI-powered tools can strengthen defenses, organizations must also ensure their AI solutions are designed, deployed and governed securely to prevent new vulnerabilities from emerging.
CISOs and security teams should take a holistic, lifecycle-based approach to AI security readiness by embedding security, governance and risk management at every stage of AI adoption — from data and model development to deployment and ongoing operations. This involves conducting thorough risk assessments that address both technical and business risks, mapping controls to regulatory requirements, and securing data, models and AI usage through robust access controls and continuous monitoring.
AI Security insights
AI Security Partners