Artificial Intelligence at Fortra

Securing the Future of AI Starts with Your Data

At Fortra, we understand that the promise of AI comes with new and complex security challenges. That’s why our approach to AI and machine learning is built on a balanced, data-driven security strategy, one that empowers confident innovation while protecting your most critical assets.

Every AI implementation must begin with a foundation of data integrity and protection across the entire lifecycle, from collection and storage to processing and model training. Fortra’s comprehensive security solutions ensure your AI systems are not only powerful but also resilient.

Since 2018, Fortra has leveraged AI to deliver security outcomes by training models via vast datasets and expert-led decisions, all guided by security professionals and managed services. Our mission is to create AI-powered solutions that keep up with AI-enabled attackers and reduce operational burdens on security teams, while keeping experts in the loop to optimize outcomes.

Navigating AI’s Promise and Peril

AI is revolutionizing how businesses operate, unlocking new efficiencies and capabilities across industries. But with this transformation comes a new set of security challenges that demand a fundamental shift in how organizations protect data, infrastructure, and access. From evolving regulatory requirements and shadow AI risks to overlooked access controls and data integrity concerns, the GenAI landscape is complex and rapidly changing.

AI augmentation has enabled adversaries to scale attacks with greater speed and precision, while also introducing entirely new attack vectors, such as deepfakes used for social engineering.

Whether you're innovating with generative AI or defending against AI-driven threats, Fortra’s forward-thinking approach to security protects you from the latest threat developments and technological innovations.

Cybersecurity for AI

Pillar 1: Secure AI deployments — GenAI systems are only as secure as the infrastructure, data, and access layers that support them. Fortra delivers end-to-end protection across your entire AI ecosystem — whether your data resides in on-premises databases, cloud applications, or AI-native SaaS platforms. Our integrated security stack safeguards AI innovation by mitigating risks across data storage, hosting infrastructure, data orchestration, and user interactions.

AI for Cybersecurity

Pillar 2: Defend against AI-enhanced threats — To counter the increased volume, speed, and sophistication of AI-enhanced threats, Fortra’s AI strategy draws on years of real-world experience, prioritizing precision over power. We deploy AI only where it drives measurable value, using proprietary ML models refined through years of production use and rich datasets. Our humans-in-the-loop approach delivers cost-effective, high-performance cybersecurity you can rely on to defend against both emerging and AI-augmented threats.

Pillar 3: Leverage AI to transform operations — At Fortra, we continually evaluate AI enhancements to our operations and pass these efficiencies on to our customers. Thoughtful identification and testing of AI-driven transformation allows security teams to focus on higher value tasks that require human judgment.

Clarifying the Language of AI

Whether you’re focused on protecting AI-enhanced deployments or securing your organization against AI-driven threats, understanding the language of AI arena is essential. At Fortra, we not only understand the diverse elements of the AI landscape, but we actively apply them in building secure, intelligent solutions.

Artificial Intelligence (AI)

Refers to computer systems capable of performing complex tasks typically requiring human intelligence, such as reasoning, decision-making, and creative problem-solving.

Machine Learning (ML)

The study of computer algorithms that can improve automatically through experience and using data. Algorithms that extract and recognize patterns, learn implicit rules, and make predictions.

Deep Learning (DL)

A subfield of machine learning; covers ML algorithms that use deep (i.e., having multiple layers) neural network architectures. The layers are used to extract higher-level features from raw input. By using many layers of transformations, we can do representational learning (i.e., automatically find the appropriate way to represent data).

Large Language Models (LLM)

A deep neural network (Transformer architecture) trained on large textual datasets. It treats text as tokens and can make a prediction about (generate) the next token.

Generative AI (Gen AI)

Broadly speaking, ML systems capable of generating text, images, code or other types of content, often in response to a prompt entered by a user. In practice, a very deep Transformer model trained on large amounts of data from a specific domain, and given a sequence of tokens (prompt), used to generate new tokens from that domain.

Agentic AI

Autonomous systems capable of initiating tasks without direct human intervention, leveraging automated reasoning to make guided decisions for problem solving. Unlike traditional applications, agentic AI can behave in adaptive and unpredictable ways, introducing novel risks that conventional governance models cannot manage.

Fortra’s Approach to AI-Driven Cyber Defense & Trusted AI Advancement

Explore how Fortra helps organizations innovate with AI securely and responsibly. This guide outlines how we help protect AI systems from emerging threats and use AI to strengthen cybersecurity. It also highlights specific Fortra solutions — including data classification and protection, vulnerability management, managed WAF, XDR, and email security — that support safe and effective AI adoption.

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Strategic AI Integration: Driving Performance and Protection

Fortra stays ahead of emerging threats by continuously innovating and applying advanced technologies, delivering meaningful value across diverse cybersecurity domains.

Securing Customer Environments

Deep inspection and classification of clean, malicious, or spam email
Identify personal identifiable information (PII) and sensitive information across documents in multiple languages
Protect against inadvertent data exposure of over 150 GenAI tools

Threat Intelligence and Detection

Uncover malware and file-less malware being used by threat actors along with most recent tactics, techniques, and procedures (TTPs)
Develop models targeting AI-powered threats such as deep fakes, sophisticated spam, and account abuse
Detect anomalous user behavior to uncover compromised accounts and insider threats
Surface malicious campaigns and attribution by aggregating and grouping large volumes of messages

Improving Customer Experiences

Fortra continuously researches and adopts GenAI tools to improve the customer engagement experience
Enhanced business processes and workflows across customer service, technical support, security operations, and beyond, empowering teams to serve customers faster, smarter, and more effectively
Improved incident response times and reporting from our security operations center (SOCs), enabling faster threat detection, resolution, and communication.

Why Fortra

AI Innovations Protected. AI Threats Neutralized.

At Fortra, we develop AI-infused solutions that solve real problems with the right technology for the job. Backed by over 40 years of cybersecurity expertise and hands-on experience deploying AI internally, we deliver tailored protection for both proprietary AI models and defenses against malicious ones.

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