How AI Is Making Cyberattacks Faster and Harder to Stop

INTRODUCTION

Artificial intelligence is reshaping nearly every industry and cybersecurity is no exception. But while much of the public conversation focuses on AI as a defensive tool, the threat it poses on the offensive side is equally significant and far less discussed. We recently posed a question to our LinkedIn community: what danger does AI pose to cybersecurity? The results were telling.

Half of respondents pointed to faster and more scalable attacks. The other half flagged adversarial AI and model poisoning. Together, these two concerns paint a picture of a threat landscape that is accelerating in both speed and sophistication one that traditional security frameworks were not built to handle.

What danger does AI pose to cybersecurity?

Faster and Scalable Attacks — 50%

Adversarial AI, Model Poisoning — 50%

Realistic Social Engineering — 0%

Autonomous Attack Tools — 0%

2 votes • Poll closed • May 15, 2026

Faster, scalable attacks: volume as a weapon

Speed has always been an asymmetric advantage in cybersecurity attackers only need to find one way in, while defenders must protect everything. AI amplifies that asymmetry dramatically. What once required a skilled team of human operators to execute can now be automated, scaled, and deployed across thousands of targets simultaneously.

AI-powered tools can scan for vulnerabilities, craft tailored phishing messages, and adapt attack strategies in real time all without human intervention. For defenders, this means the window between vulnerability discovery and active exploitation is shrinking. Patch cycles that once took weeks now need to happen in hours. Organizations that lack automated detection and response capabilities are increasingly exposed.

Adversarial AI and model poisoning: attacking the defender’s brain

The second concern adversarial AI and model poisoning is subtler but potentially more dangerous. As organizations deploy AI-driven security tools to detect threats, attackers are developing techniques to fool those very systems. Adversarial inputs are carefully crafted data designed to cause AI models to misclassify threats, letting malicious activity slip through undetected.

Model poisoning goes a step further. By corrupting the training data that security AI systems learn from, attackers can introduce blind spots before a tool is even deployed. An organization may believe its AI-powered threat detection is working while it has been quietly compromised at the foundational level. This is particularly concerning as the security industry races to adopt AI without fully stress-testing it against adversarial conditions.

What the poll results tell us about where the industry is heading

The fact that social engineering and autonomous attack tools received no votes is worth noting. It doesn’t mean these threats don’t exist AI-generated deepfakes and voice cloning are already being used in fraud. But our respondents, who skew toward security-aware professionals, appear most focused on the structural and systemic risks AI introduces rather than the headline-grabbing individual attack types.

That instinct is sound. Scalable attacks and poisoned models represent threats to entire security architectures, not just individual endpoints. Addressing them requires rethinking how AI is integrated into both offensive threat modeling and defensive tooling and ensuring that the AI your team trusts has been rigorously validated against adversarial manipulation.

TAKEAWAY

AI is not a future threat it is an active one. Organizations that treat it as an emerging risk rather than a present reality are already behind. The security community’s instinct, reflected in our poll, is to focus on structural vulnerabilities: the speed at which AI enables attacks to scale, and the integrity of the AI systems we rely on to stop them. Both deserve immediate attention in any serious security strategy.

At Topgallant Partners, we help organizations stay ahead of AI-driven threats from stress-testing your defenses to evaluating the integrity of your security tools. Reach out today to learn how we can help you build a resilient strategy for the AI era.