Healthcare organizations have spent years adding endpoint tools, email filters, identity controls and network monitoring. But those investments have created another challenge: security teams now face more data than any person could reasonably review, while the window to stop an attack keeps getting shorter.
The 2026 Verizon Data Breach Investigations Report found that 31% of breaches now begin with software vulnerabilities, surpassing stolen credentials as the leading entry point for the first time. IBM’s 2025 Cost of a Data Breach Report found that the average healthcare data breach cost $7.42 million, the highest of any industry for the 14th year in a row.
The next real gain in cybersecurity will come from making sense of alerts we already have and acting quickly on the ones that matter.
Most healthcare organizations already have tools watching their systems around the clock. One may flag an unusual login. Another may detect suspicious endpoint activity. The problem is not collecting information. In security, we deal with an enormous volume of data. The hard part is normalizing it and determining what is relevant.
That is where agentic AI can help, giving people a way to work through the noise and move faster on risks that need attention.
Why cybersecurity still needs human judgment
Traditional automation works well when the rule is fixed and the response is known. If a device meets a certain condition, isolate it. If an account crosses a threshold, require additional verification.
What automation does not always do is understand the full situation. An alert that seems harmless may become urgent when connected to a new vulnerability and access to a system that touches patient records or claims processing. Another may look serious but turn out to be normal activity.
AI agents can gather information from multiple tools, organize it into a common view and help determine which alerts warrant action. A specialist still steps in when the risk or business impact requires human judgment. Accountability stays with the team. What changes is that analysts stop manually piecing together information the organization already has.
Better security starts with signal, not volume
Agentic AI can evaluate context and surface the events most likely to require action. IBM notes that AI-powered security tools and automation can reduce alert volume, identify security gaps, detect breaches earlier and support faster responses.
The practical case is speed. Verizon’s 2026 research found that threat actors are using AI to accelerate the exploitation of known vulnerabilities, reducing the defensive window from months to hours. A stronger workflow gathers information automatically, combines duplicate signals and evaluates exposure before an alert reaches a person.
In healthcare, that exposure extends beyond an organization’s own walls. Verizon found that third-party supply chain breaches jumped 60% and now factor into nearly half of all breaches. The February 2024 ransomware attack on one of the largest U.S. healthcare payment processors showed what that means for providers: disrupted claims, delayed care and financial losses nationwide.
Healthcare leaders should decide which actions can happen at machine speed, which require approval and which must remain in human hands—and should expect the same clarity from every vendor that touches their data. Security-focused AI also needs clear access controls, approved data sources, testing, logging and human oversight. IBM found that 97% of organizations reporting an AI-related security incident lacked proper AI access controls, while 63% lacked or were still developing AI governance policies.
The workforce math
People remain the core of healthcare cybersecurity. When automation handles repetitive work, analysts can focus on meaningful threats, response planning and the gaps most likely to affect the organization.
IBM found that organizations extensively using AI and automation in security operations identified and contained breaches 80 days faster and experienced an average of $1.9 million less in breach costs. That does not mean technology replaces experienced professionals. It shows what can happen when they receive better-organized information sooner.
The most resilient healthcare organizations will be the ones that can work through data faster, identify what is relevant and act within clear safeguards before a security gap interrupts claims or patient care.
Izhar Ahmed Mujaddidi is Chief Information Security Officer at Coronis Health. He has more than 20 years of experience in cybersecurity and information assurance, with expertise in security strategy, risk management, compliance and the development of resilient information security programs. For more information, visit coronishealth.com.
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