For years, artificial intelligence and cybersecurity evolved as largely separate disciplines. Cybersecurity professionals focused on protecting systems, networks, and data, while AI practitioners concentrated on improving prediction accuracy, automation, and decision-making capabilities; That separation no longer exists.
Today, AI is simultaneously becoming a target of cyberattacks and a powerful capability for cyber defense.
Organizations are deploying AI faster than they can secure or explain it, creating a new class of risks that traditional security frameworks were never designed to address.
At the same time, attackers are leveraging AI to automate vulnerability discovery, accelerate exploit development, and operate at a scale previously impossible for human adversaries alone.
This intersection can be understood from two complementary perspectives:
- Security for AI – protecting AI systems against cyber threats.
- AI for Security – using AI to enhance cybersecurity capabilities.
The future of digital resilience will depend on mastering both.
Security for AI: Traditional software executes predefined logic. AI systems, however, learn from data and continuously make probabilistic decisions. This fundamentally changes the threat landscape. AI systems face threats that do not exist in conventional applications.
Research has demonstrated that even protected learning-based models can often be replicated through carefully designed queries, creating both competitive and regulatory risks.
These risks are particularly relevant because AI is rapidly becoming embedded within critical infrastructure, industrial systems, healthcare environments, and connected devices.
Consequently, AI security has moved from an academic concern to a business necessity. The critical question is no longer whether AI can be attacked, it is whether organizations can realistically demonstrate that it has been tested sufficiently, with compliance requirements in mind.
AI for Security: While AI introduces new risks, it also offers unprecedented defensive capabilities.
Cybersecurity has historically been constrained by human speed. Analysts investigate alerts manually, vulnerability researchers work sequentially, and threat hunting often depends on limited personnel resources.
AI changes this equation, by a shift from human-speed security to machine-speed security. Organizations have reported vulnerabilities at a rate far beyond what traditional security teams could achieve, shifting the limiting factor from vulnerability discovery to verification, disclosure, and remediation. Unfortunately, attackers benefit from this transformation.
The same AI capability that helps defenders identify vulnerabilities can also help adversaries discover them. The same generative models that assist security teams can generate exploit code, automate reconnaissance, and adapt attacks dynamically. AI-driventhreat detection tools are already being used to discover vulnerabilities and scale offensive operations faster than traditional approaches. This creates an AI arms race where both sides continuously improve through automation.
Regulators increasingly demand transparency into AI-driven decisions. Organizations must understand, document, and justify how AI impacts users, especially under frameworks such as the EU AI Act. Explainability therefore becomes an essential compliance capability.AI systems must also be continuously scrutinized for fairness,transparency, accountability, and unintended consequences.
One of the most valuable resources for understanding the real-world risks of artificial intelligence is the Artificial IntelligenceIncident Database (AIID), a public repository that documents cases where AI systems have caused, contributed to, or been associated with harm or near-harm events.
Organizations do not need to wait for perfect standards, mature regulations, or the next major AI incident before acting. Those that start now will be better positioned to adopt AI confidently, demonstrate trustworthiness to regulators and customers, and respond effectively as the threat landscape continues to evolve.
A more comprehensive article on this topic can be seen here
For further information or/and assistance concerning AI security matters, please contact Gustavo.Sánchez@nemko.com or Alicja.Halbryt@nemko.com.
(This article is based on the information provided by Alicja.Halbryt; edited by T.Sollie)