Artificial intelligence is changing the cybersecurity landscape, with AI increasingly being used by both defenders and attackers. Security teams can use AI to analyze large volumes of information, identify vulnerabilities, and respond to threats more quickly. At the same time, attackers can use similar technology to automate attacks, generate convincing phishing messages, and scale social-engineering campaigns.
One of the biggest concerns is that AI can make cyberattacks faster, cheaper, and more personalized. Instead of relying entirely on manual work, attackers can use AI to identify targets, create convincing communications, adapt their tactics, and potentially automate parts of an intrusion. Deepfake audio and video can make impersonation particularly difficult for people to detect, weakening traditional security-awareness approaches.
AI is also creating a new security challenge through autonomous agents. Unlike conventional software, AI agents can interpret information, make decisions, use tools, and take actions with limited human intervention. That creates additional risks if an agent is manipulated, given excessive permissions, or fed corrupted information. Security experts increasingly recommend treating AI agents as distinct identities with tightly controlled access, continuous monitoring, audit trails, and mechanisms to stop them when they behave unexpectedly.
The broader message is that AI is becoming both a powerful cybersecurity defense and a powerful attack tool. Technology can improve detection and response, but organizations cannot rely on AI alone. Strong access controls, employee awareness, human oversight, continuous monitoring, and careful management of AI systems will remain essential. As AI becomes more capable, cybersecurity will increasingly depend on securing not only people and software, but also the AI systems themselves.
