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Effective URL: https://form.jotform.com/EnigmaCG/storage?utm_source=Pabbly&utm_medium=email&utm_content=Untitled%20Subject&utm_campaign=
Submission: On March 25 via manual from US — Scanned from US
Effective URL: https://form.jotform.com/EnigmaCG/storage?utm_source=Pabbly&utm_medium=email&utm_content=Untitled%20Subject&utm_campaign=
Submission: On March 25 via manual from US — Scanned from US
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<p>IBM invites you to - Tech Connect Webinar: End-to-End Data Resiliency with IBM Storage. A sixty-minute webinar on the 28th of March 2024 at 1430-1530 SGT.</p>
<p>Building data environments that can evolve and scale with your business and the ever-changing ransomware threat landscape is key to sustainability and longevity. Your customers questioning the safety of their data as it relates to your
data storage can have a huge impact on your business. Using AI, and training machine learning models to detect security threats before they occur is crucial for protecting your businesses and your customer's data to prevent threats and
attacks today, and in the future.</p>
<p>IBM has introduced AI-enhanced capabilities within its new storage solutions to bolster data resilience against ransomware and other cyber threats. IBM’s new ransomware detection capabilities enable real-time data monitoring at the I/O
level, using machine learning models to detect anomalies indicative of ransomware in under a minute.</p>
<p>Join this webinar with IBM to understand how the increasing usage of AI and machine learning models is enabling data defences to quickly react to threat alerts, and learn from threat patterns to continually evolve defences as the
threat landscape changes.</p>
<p>Topics to be covered include:</p>
<p>•How IBM delivers unparalleled ransomware threat detection using FlashCore Module 4 (FCM4)</p>
<p>•Protecting, discovering and recovering from ransomware threats fast, using AI and machine learning models</p>
<p>•Demo, use cases, offerings and live Q&A with eminent data, storage and cyber experts</p>
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* * IBM invites you to - Tech Connect Webinar: End-to-End Data Resiliency with IBM Storage. A sixty-minute webinar on the 28th of March 2024 at 1430-1530 SGT. Building data environments that can evolve and scale with your business and the ever-changing ransomware threat landscape is key to sustainability and longevity. Your customers questioning the safety of their data as it relates to your data storage can have a huge impact on your business. Using AI, and training machine learning models to detect security threats before they occur is crucial for protecting your businesses and your customer's data to prevent threats and attacks today, and in the future. IBM has introduced AI-enhanced capabilities within its new storage solutions to bolster data resilience against ransomware and other cyber threats. IBM’s new ransomware detection capabilities enable real-time data monitoring at the I/O level, using machine learning models to detect anomalies indicative of ransomware in under a minute. Join this webinar with IBM to understand how the increasing usage of AI and machine learning models is enabling data defences to quickly react to threat alerts, and learn from threat patterns to continually evolve defences as the threat landscape changes. Topics to be covered include: •How IBM delivers unparalleled ransomware threat detection using FlashCore Module 4 (FCM4) •Protecting, discovering and recovering from ransomware threats fast, using AI and machine learning models •Demo, use cases, offerings and live Q&A with eminent data, storage and cyber experts * Name First NameLast Name * Corporate Email Only example@example.com * Phone Number -Country Code -Area CodePhone Number * Job Title * Company * EnigmaCG and/or IBM may use my contact information to inform me about products, services and offers that they feel may be suitable to me or my company, this could be via email or by phone. EnigmaCG and/or IBM may take group photos or perform live streaming during the event for promotional purposes.* EmailPhoneEmail and Phone * SubmitPowered by Jotform * Should be Empty: