Transforming Cyber Threat Management with Generative AI

In an era of escalating cyber threats, organizations must move beyond simply keeping pace and embrace transformational changes to manage the exponential growth of threats from cybercriminals, state-sponsored attacks, and increasingly complex cloud-based operating models.

Consider this:

• In the first quarter of 2025, the average organization faced 1,925 cyberattacks each week, a staggering 47% increase from the previous year.
• Ransomware attacks surged by 126%.

This relentless escalation highlights why traditional defenses are no longer sufficient and tells us why the emergence of generative AI is a potential game-changer in large-scale digital asset protection.

The Rise of Digital Governance

Senior leaders recognize that isolated vulnerability reports and individual metrics fail to provide a comprehensive understanding of layered security, control effectiveness, and implementation maturity. This lack of transparency obscures critical overarching issues and vulnerabilities across the business. Risk management and governance functions, responsible for enforcing IT controls, governing policy, assessing risk, and establishing accountability, are key to addressing these challenges.

Today’s operational complexity, intricate supply chains, and the ever-changing threat landscape demand a shift toward data-driven, embedded governance suitable for the digital age. Achieving this "digital governance" requires more than just centralizing data metrics; it necessitates a strategic data platform approach that accommodates the diverse tools, procedures, and remains agile to technological & regulatory changes within large enterprises.

Generative AI as a Solution

While a robust data platform forms the foundation of digital governance, generative AI is shaping up to be the transformative force that redefines how organizations interact with operational data and metrics through user-friendly interfaces. By organizing information about assets, applications, vulnerabilities, policies, and controls, generative AI models can be trained to automate key risk management processes: identification, quantification, prioritization, remediation, and regulatory response.

Studies indicate that 40% of organizations believe using AI will improve regulatory compliance, while 69% of executives believe AI will enhance risk assessment capabilities. These trends are driving the development of solutions like our new accelerator RiskControl.AI.

What RiskControl.AI Brings to the Table:

• Comprehensive data mapping: Combines data pipelines and AI agents to automate the discovery and mapping of vulnerability data to assets across security tools.
• Intelligent controls mapping: AI agents automate the alignment of vulnerabilities with relevant security controls to customizable risk management frameworks.
• Policy as code: Establishes clear, repeatable, and tool-agnostic policies by using AI to translate natural language into executable formulas.
• Automated risk assessments: Facilitates detailed risk assessments with initial findings generated through a low-code interface and AI-driven prompts.
• Conversational AI assistant: Provides risk management teams with prompt-based interfaces for data queries, analysis, and scenario planning, reducing reliance on developers.
• Streamlined regulatory responses: Uses generative AI prompts to quickly draft responses to regulatory and audit inquiries regarding controls and assessments.

There’s Still Things to Address

While the potential of generative AI and agentic AI are indisputable in these areas, there are clear challenges in building the foundational pillars of digital governance in the AI era, especially in areas where organizations have proportionately low levels of data management maturity across their IT operations and risk management. That being said, the path to IT maturity involves iterative improvements which can unlock value over time as digital governance can be achieved control-by-control.

The End Goal: Embracing AI for Enhanced Cyber Resilience

Where traditional approaches provide limited relief to the increased scale and sophistication of today’s cyber threat landscape, the promise of efficiency, accuracy, and agility offered by generative AI presents a transformational opportunity for security and risk organizations. In designing RiskControl.AI, we embraced the fundamental principle that toolchain fragmentation and complexity are inevitable for the foreseeable future. We created a control plane that operates above and around your operational and security tools, working at the data level independently from these tools but optimized and configurable for your enterprise. Our RiskControl.AI Accelerator showcases how generative AI and agentic AI technology can provide significant efficiencies and help CISO and CRO organizations regain control over the complex operating environments they are tasked with protecting.