Artificial intelligence (AI) has become a tool on both sides of cybersecurity. Attackers use it to write convincing phishing messages, impersonate executives, and find weaknesses faster. Defenders use it to detect threats, filter alerts, and respond to incidents at machine speed.
For business leaders, AI in cybersecurity is no longer a future concern. It is already changing the cost of breaches and the speed at which attacks unfold. This article examines how attackers and defenders are using AI and what organizations can do to stay ahead.
How Attackers Are Using AI
AI lowers the cost and skill needed to launch effective attacks. IBM has found that generative AI can cut the time needed to write a convincing phishing email from about 16 hours to roughly five minutes (Abnormal AI). Messages can be personalized at scale, in fluent language, with fewer of the errors that once gave scams away.
Impersonation has also become easier. Deepfake audio and video can imitate executives or suppliers to request payments or credentials, and AI-assisted malware can adapt to evade detection. Attackers can also use AI to scan for exposed systems and known vulnerabilities more quickly than before.
The financial impact is growing. IBM’s 2026 Cost of a Data Breach Report found that one in four malicious breaches was AI-enabled, a 56% increase over the previous year, and that these breaches cost an average of $6 million, about $1 million more than the global average of $4.99 million (IBM press release).
AI systems themselves are now targets. Roughly one in five organizations in IBM’s 2026 study reported a breach targeting their AI models or applications (IBM).
How Defenders Are Using AI
Security teams face the same pressure for speed. Modern environments generate far more alerts than analysts can review manually, and AI helps by grouping related events, identifying unusual behavior, and prioritizing the incidents that matter most. This allows smaller security teams to cover more ground without proportional increases in staff.
The results are measurable. IBM’s 2026 research found that organizations using AI and automation extensively in security operations reduced breach costs by an average of $1.93 million (IBM). Faster detection limits how far attackers can move and how much data they can reach.
AI also supports prevention. It can scan code for vulnerabilities, flag misconfigured cloud resources, and test systems in ways that once required large teams of specialists. These capabilities help organizations close gaps before attackers find them.
AI in Cybersecurity: Staying Ahead in an Arms Race
Technology alone does not decide the outcome. Organizations that combine AI tools with strong fundamentals are best positioned. Practical priorities include:
- Verify high-risk requests: require call-back or multi-person approval for payments and credential changes, regardless of how authentic a message appears
- Strengthen identity controls: use multi-factor authentication and limit access to what each person and system needs
- Adopt AI-assisted detection: use tools that analyze behavior across email, endpoints, and cloud services
- Secure AI systems themselves: apply access controls and monitoring to internal AI tools, which are now targets in their own right
- Train employees continuously: update awareness programs to cover AI-generated phishing and deepfakes
Human judgment remains essential. AI can surface threats faster, but experienced analysts are still needed to interpret context, make containment decisions, and improve defenses over time. Clear escalation paths ensure that AI-generated alerts reach the right people quickly.
Regular testing keeps defenses honest. Simulated phishing campaigns and incident response exercises that include AI-driven scenarios show whether controls and people perform as expected.
Turning AI Into a Defensive Advantage
AI has raised the speed and scale of cyberattacks, but it has also given defenders powerful new tools. Organizations that pair AI-assisted security with strong identity controls, verification processes, and trained staff can reduce both the likelihood and cost of breaches. Organizations strengthening their security posture benefit from working with an experienced software development team that builds security and AI-assisted monitoring into their systems from the start.