All news
Offensive AI: how artificial intelligence is changing cyberattacks
AI is making reconnaissance faster, phishing more convincing and attacks cheaper to prepare. Corporate security has to adapt.
Artificial intelligence is strengthening not only business operations and security systems. The same technologies are increasingly being used by attackers.
Generative models can speed up reconnaissance, collect open-source information about potential targets, create personalized phishing messages, analyze vulnerabilities and automate selected stages of an attack.
The main shift is not simply the appearance of new tools. AI reduces the time and cost required to prepare attacks, increases their scale and makes fraudulent content more persuasive.
In the past, phishing emails were often exposed by spelling mistakes, awkward language and generic templates. Today, those warning signs may be absent. AI can produce a well-written message in the right tone, adapt it to a specific person and enrich it with details about their company, colleagues or current projects.
As a result, mass campaigns increasingly look like personal and credible messages. The old advice to “look for mistakes in the text” is no longer enough as a security measure.
To understand how the threat landscape is changing, it is useful to distinguish several concepts:
- AI for Cybersecurity - the use of artificial intelligence for defense: threat detection, incident analysis and response automation.
- Offensive AI - the use of AI on the attack side: reconnaissance, social engineering, malicious content generation and vulnerability discovery.
- Agentic AI - AI agents capable of independently carrying out sequences of related tasks, such as gathering open data, analyzing information and preparing campaign materials.
- Autonomous Attack Systems - an emerging class of systems that can perform certain attack stages with minimal human involvement and adapt their actions to changes in the digital environment.
At this stage, AI usually does not create entirely new categories of cyberattacks. Instead, it strengthens methods that are already known. A single attacker can now complete work that previously required much more time and resources.
For businesses, this means security can no longer rely only on employee vigilance. Organizations need technical controls, account protection, regular staff training and the ability to respond quickly when incidents occur.
In the next publication, we will look at how AI is changing the economics of cyberattacks and what this means for corporate security.
