AI Revolutionizes Cybersecurity: Gartner Predicts 2025 Trends Overhaul

The short version:

• Generative AI arrives: Gartner expects Gen AI to be built into more than 50% of risk management software by 2025.
• Who is building it: Big tech firms and specialist vendors are both shipping AI security features.
• More automation: Security teams are automating routine work to cope with a shortage of staff.
• Cyber insurance changes: Insurers are using AI models to assess risk and price policies.

Gen AI moves into security software

Generative AI (Gen AI) is spreading through security products fast. According to Gartner’s analysis, it will be part of more than 50% of risk management software by 2025. Vendors say it helps defenders spot threats sooner, predict likely attacks and respond with less manual effort. That is the claim, anyway.

Gartner says the technology lets defenses adjust to new threats faster and speeds up tasks that used to take analysts hours.

Who is shipping AI defenses

Google and IBM are building AI into their security products, and so are specialists like Darktrace. Darktrace uses machine learning to learn what normal network behavior looks like and flag deviations that could mean an intrusion. Google uses AI to catch sophisticated phishing emails before they reach inboxes.

Practitioners increasingly describe AI as something they use today for real-time threat analysis, not a future add-on.

Automation fills the staffing gap

There are not enough trained security staff to go around. Automation is one answer. AI tools now handle routine threat monitoring and parts of incident response that analysts used to do by hand, which leaves people more time for harder work.

Gartner’s report says automation can cut response times and error rates because software does not get tired. It can also extend what a security operations center (SOC) covers without hiring at the same rate.

Insurers adopt AI underwriting

Insurers are also using AI. Automated underwriting is producing more precise risk assessments, so policies and premiums can be matched more closely to each customer’s actual exposure. Companies get coverage that fits. Insurers limit their own losses.

Supporters say AI could tie premiums more closely to real threats and make coverage more precise. If that happens, insurance would become a better tool for managing cyber risk.

What to watch in 2025

Companies that adopt these tools early may gain an edge in detection and response. Those that wait risk falling behind attackers who are already using AI themselves.

Gartner expects a period of fast change in how security programs are built. Problems remain, including ethical questions and the need to keep improving the models, and nobody should expect AI to fix weak basics.

For security leaders, the practical step is to test AI features against your own alert data before buying. Ask vendors how their models fail, who reviews automated decisions, and what happens when the AI is wrong.

Frank Jones, CISSP

Frank Jones has loved computers from the age of 13. Frank got his hacking career started when he downloaded a war dialing program that he used to detect dial up modems in his hometown of Chicago. Frank Jones now works as a JAVA coder and cyber security researcher.