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    Home»AI/ML»The hospital’s cyber attacks cost $ 600k/hr. Here’s how AI Mathematics is changing
    AI/ML

    The hospital’s cyber attacks cost $ 600k/hr. Here’s how AI Mathematics is changing

    PineapplesUpdateBy PineapplesUpdateJune 21, 2025No Comments6 Mins Read
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    The hospital’s cyber attacks cost $ 600k/hr. Here’s how AI Mathematics is changing
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    In previous years, medical facilities were not as weak as they are now; Hackers had an unwritten rule not to target institutions or services where a disruption could put people in physical danger.

    But now it is not so: Rainmuch-e-A-Service has spread and the stolen medical information has become very curved, affecting danger actors to attack hospitals at unprecedented levels.

    Alberta health services (AHS) does not intend to leave itself weak – the medical system is increasing its defense with AI.

    Deployment of AI-reinforced cyber opes from cyber security forum MalevolentAHS has cut more than 30%in its average time to respond to high-primary events. This has reduced false positive alerts by 90% and workloads from 2 to 3 hours per day, resulting in saving hundreds of thousands of dollars.

    “Many hospital networks are large fats, easy goals,” Richard Henderson, AHS Executive Director and Siso told Venturebeat. “I don’t sleep too much because I am nervous about receiving that phone call at 2 o’clock, saying that our environment has gone down due to ransomware.”

    1,000 (or significantly more) SOC analysts work

    AHS is the second largest hospital network in North America and Electronic Healthcare Records (EHR) platform is the world’s largest single example of epic.

    Henderson reported that he and his team are responsible for cyber security for 106 hospitals, 800 clinics, 20,000 doctors and 150,000 employees, serving 4.5 to 5 million Alberton. He described AHS as a “mass on-arrogance organization”, which had every feature associated with the same epic installed.

    Therefore, Henderson said, “If it goes down, it goes down to everyone. And, for me it is not hyperbole to say that if it goes down, it can affect a patient’s life very well.”

    He said that it is also not an exaggeration to say whether a complete outage of epic-whether it is ransomware-related or not-can spend from Asani to Alberta province from $ 500,000 to $ 600,000 per hour, he said.

    To avoid such situations, AHS has deployed the “complete spread” of the Securonix platform inside its environment. This includes Cybercity Company’s Threat Detection, Investigation and Response (TDIR) capabilities, which are through their AI-Power-Powered Security Information and Event Management (SIEM) platform. It offers log management, behavioral analysis and a safety data lake in a package.

    Henderson reported that the medical network consumes terabytes of data in its CEM and depends on the cloud-country architecture of Securonix to handle data generalization and routing. Snowflake is a large part of that backnd.

    Behavior analysis AHS’s identity is an important part of strategy. The platform of Securonix continuously learns that normal looks normal for its users, endpoints and systems, with Henderson explaining, which helps their team capture “micro -goods”, such as behaving a reliable account “just a bit away.”

    “It is looking for a pattern and stitching things together,” Henderson said. “You can appoint 1,000 security analysts and you will still not have enough people who will be able to play through all telemetry modern digital enterprises.”

    AHS reaction is improving time, cutting time for resolution

    For example, AI-powered equipment of AHS learn what general network behavior looks in its hospitals. When something is unusual – such as a device is suddenly talking to an external server, it is never contacted before – it gives it the flag immediately. This can lead the security teams to a wrong equipment, which can be exploited if it is otherwise noticed.

    Henderson said, “Those types of misunderstandings have caused horrific ransomware in other hospital networks in the past.”

    Or, as another example, a payload may potentially come as a suspect, but it is unpleasant, meaning that humans have to try to find out what it is and what it does, Henderson said. Now, they can ask the platform to deobasus and determine what the attacker was trying to do, and in “literally second” it does all the work.

    He said, “Being able to talk to a computer in the last few years as you are talking to a person, just changed how people think about AI,” he said. “Natural language processing has been long, but not at this level, and it continues to fly me how good it is.”

    Consequently, AWS has been able to cut time for resolution and improve its ability to react rapidly. Henderson said that the average time to respond to high-primary events is more than one third of the previous year.

    This is because AI is working to lift heavy, which helped analysts understand what is happening and what an attacker is trying to achieve, Henderson told. In modern cyber security, AI has become severely important for Network Detection, Email Protection, Email Filtering and other cyber security works. “My people are saving hours during the day using the AI ​​tool,” he said.

    Henderson said that the platform of Secureonics has also helped to cut the noise, in which AHS has seen a sufficient decline in false positivity to its junior analysts, which “actually helps with the focus and avoids burnouts,” Henderson said.

    He said that there is a lot of discussion around AI instead of the lower levels of security works. But from his point of view, “AI is not going to change the junior employees. What is going to do what helps them to learn rapidly, do their work better and protect the enterprise environment.”

    Increased attacks make education important

    With the AHS being so large, due to many facilities spread in the province, Henderson’s team needs to track what the largest amount of events are happening. This can help them guess whether a specific geographical area is being targeted on another.

    Henderson reported that Calgary and Edmonton are the two largest cities in Alberta, so naturally, one feels that they will bear a great brunt of the amount of attack. But this is not always the case; Small rural hospitals are often targeted as the danger actors believe that their rescue is weak.

    AI allows him and his team to keep a running dashboard, where there are events to plan additional outreach if necessary. Henderson spends an important time on the human side of safety, he said, educating AHS nurses and doctors on previous attack campaigns so that they can understand what to see.

    “So, if we are looking at an optic in our rural hospitals, I will build an education campaign to say,” they are targeting rural hospitals because they think you are an easy goal. These are the types of things you should find, “he explained.

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