Irene Silos, SC-C’s Post

With sensitive IP from blockbuster drug development data at heightened risk from sophisticated cyber threats, traditional security defenses are no longer enough. Read our latest article in today’s Pharma Focus Europe, to hear Juan José López González, Associate Director of Cyber Security Architecture and Governance, Life Sciences Manufacturing at Cognizant, as he outlines strategies for securing pharma manufacturing’s rapidly expanding data landscape utilizing AI. In this article Juan discusses: - How AI can be used in real-time to detect and respond to cyber attacks - Where it can be used to identify system vulnerabilities - Six key considerations for adopting an AI-driven cyber security initiative - How AI is reshaping cyber resilience in life sciences - The future state for embedding AI into cyber strategies From machine learning and algorithms analyzing vast amounts of data in real-time and identify patterns and anomalies indicative of cyber threats, to the automation of core tasks such as vulnerability scanning, patch management, and compliance monitoring to enhance incident response, AI is the future for building a robust cyber-secure strategy. Read the complete article in the latest Pharma Focus Europe ebook here: https://cogniz.at/3ZjkE1Z #cybersecurity #AI #pharmatech #datasecurity #cyberthreats

With sensitive IP from blockbuster drug development data at heightened risk from sophisticated cyber threats, traditional security defenses are no longer enough. Read our latest article in today’s Pharma Focus Europe, to hear Juan José López González, Associate Director of Cyber Security Architecture and Governance, Life Sciences Manufacturing at Cognizant, as he outlines strategies for securing pharma manufacturing’s rapidly expanding data landscape utilizing AI. In this article Juan discusses: - How AI can be used in real-time to detect and respond to cyber attacks - Where it can be used to identify system vulnerabilities - Six key considerations for adopting an AI-driven cyber security initiative - How AI is reshaping cyber resilience in life sciences - The future state for embedding AI into cyber strategies From machine learning and algorithms analyzing vast amounts of data in real-time and identify patterns and anomalies indicative of cyber threats, to the automation of core tasks such as vulnerability scanning, patch management, and compliance monitoring to enhance incident response, AI is the future for building a robust cyber-secure strategy. Read the complete article in the latest Pharma Focus Europe ebook here: https://cogniz.at/40O8LmW #cybersecurity #AI #pharmatech #datasecurity #cyberthreats

With sensitive IP from blockbuster drug development data at heightened risk from sophisticated cyber threats, traditional security defenses are no longer enough. Read our latest article in today’s Pharma Focus Europe, to hear Juan José López González, Associate Director of Cyber Security Architecture and Governance, Life Sciences Manufacturing at Cognizant, as he outlines strategies for securing pharma manufacturing’s rapidly expanding data landscape utilizing AI. In this article Juan discusses: - How AI can be used in real-time to detect and respond to cyber attacks - Where it can be used to identify system vulnerabilities - Six key considerations for adopting an AI-driven cyber security initiative - How AI is reshaping cyber resilience in life sciences - The future state for embedding AI into cyber strategies From machine learning and algorithms analyzing vast amounts of data in real-time and identify patterns and anomalies indicative of cyber threats, to the automation of core tasks such as vulnerability scanning, patch management, and compliance monitoring to enhance incident response, AI is the future for building a robust cyber-secure strategy. Read the complete article in the latest Pharma Focus Europe ebook here: https://cogniz.at/3YO5GAs #cybersecurity #AI #pharmatech #datasecurity #cyberthreats

With sensitive IP from blockbuster drug development data at heightened risk from sophisticated cyber threats, traditional security defenses are no longer enough. Read our latest article in today’s Pharma Focus Europe, to hear Juan José López González, Associate Director of Cyber Security Architecture and Governance, Life Sciences Manufacturing at Cognizant, as he outlines strategies for securing pharma manufacturing’s rapidly expanding data landscape utilizing AI. In this article Juan discusses: - How AI can be used in real-time to detect and respond to cyber attacks - Where it can be used to identify system vulnerabilities - Six key considerations for adopting an AI-driven cyber security initiative - How AI is reshaping cyber resilience in life sciences - The future state for embedding AI into cyber strategies From machine learning and algorithms analyzing vast amounts of data in real-time and identify patterns and anomalies indicative of cyber threats, to the automation of core tasks such as vulnerability scanning, patch management, and compliance monitoring to enhance incident response, AI is the future for building a robust cyber-secure strategy. Read the complete article in the latest Pharma Focus Europe ebook here: https://cogniz.at/411zLiP #cybersecurity #AI #pharmatech #datasecurity #cyberthreats

With sensitive IP from blockbuster drug development data at heightened risk from sophisticated cyber threats, traditional security defenses are no longer enough. Read our latest article in today’s Pharma Focus Europe, to hear Juan José López González, Associate Director of Cyber Security Architecture and Governance, Life Sciences Manufacturing at Cognizant, as he outlines strategies for securing pharma manufacturing’s rapidly expanding data landscape utilizing AI. In this article Juan discusses: - How AI can be used in real-time to detect and respond to cyber attacks - Where it can be used to identify system vulnerabilities - Six key considerations for adopting an AI-driven cyber security initiative - How AI is reshaping cyber resilience in life sciences - The future state for embedding AI into cyber strategies From machine learning and algorithms analyzing vast amounts of data in real-time and identify patterns and anomalies indicative of cyber threats, to the automation of core tasks such as vulnerability scanning, patch management, and compliance monitoring to enhance incident response, AI is the future for building a robust cyber-secure strategy. Read the complete article in the latest Pharma Focus Europe ebook here: https://cogniz.at/4eTiZWi #cybersecurity #AI #pharmatech #datasecurity #cyberthreats

With sensitive IP from blockbuster drug development data at heightened risk from sophisticated cyber threats, traditional security defenses are no longer enough. Read our latest article in today’s Pharma Focus Europe, to hear Juan José López González, Associate Director of Cyber Security Architecture and Governance, Life Sciences Manufacturing at Cognizant, as he outlines strategies for securing pharma manufacturing’s rapidly expanding data landscape utilizing AI. In this article Juan discusses: - How AI can be used in real-time to detect and respond to cyber attacks - Where it can be used to identify system vulnerabilities - Six key considerations for adopting an AI-driven cyber security initiative - How AI is reshaping cyber resilience in life sciences - The future state for embedding AI into cyber strategies From machine learning and algorithms analyzing vast amounts of data in real-time and identify patterns and anomalies indicative of cyber threats, to the automation of core tasks such as vulnerability scanning, patch management, and compliance monitoring to enhance incident response, AI is the future for building a robust cyber-secure strategy. Read the complete article in the latest Pharma Focus Europe ebook here: https://lnkd.in/euiGi2rc #cybersecurity #AI #pharmatech #datasecurity #cyberthreats

With sensitive IP from blockbuster drug development data at heightened risk from sophisticated cyber threats, traditional security defenses are no longer enough. Read our latest article in today’s Pharma Focus Europe, to hear Juan José López González, Associate Director of Cyber Security Architecture and Governance, Life Sciences Manufacturing at Cognizant, as he outlines strategies for securing pharma manufacturing’s rapidly expanding data landscape utilizing AI. In this article Juan discusses: - How AI can be used in real-time to detect and respond to cyber attacks - Where it can be used to identify system vulnerabilities - Six key considerations for adopting an AI-driven cyber security initiative - How AI is reshaping cyber resilience in life sciences - The future state for embedding AI into cyber strategies From machine learning and algorithms analyzing vast amounts of data in real-time and identify patterns and anomalies indicative of cyber threats, to the automation of core tasks such as vulnerability scanning, patch management, and compliance monitoring to enhance incident response, AI is the future for building a robust cyber-secure strategy. Read the complete article in the latest Pharma Focus Europe ebook here: https://cogniz.at/3V07jKB #cybersecurity #AI #pharmatech #datasecurity #cyberthreats

With sensitive IP from blockbuster drug development data at heightened risk from sophisticated cyber threats, traditional security defenses are no longer enough. Read our latest article in today’s Pharma Focus Europe, to hear Juan José López González, Associate Director of Cyber Security Architecture and Governance, Life Sciences Manufacturing at Cognizant, as he outlines strategies for securing pharma manufacturing’s rapidly expanding data landscape utilizing AI. In this article Juan discusses: - How AI can be used in real-time to detect and respond to cyber attacks - Where it can be used to identify system vulnerabilities - Six key considerations for adopting an AI-driven cyber security initiative - How AI is reshaping cyber resilience in life sciences - The future state for embedding AI into cyber strategies From machine learning and algorithms analyzing vast amounts of data in real-time and identify patterns and anomalies indicative of cyber threats, to the automation of core tasks such as vulnerability scanning, patch management, and compliance monitoring to enhance incident response, AI is the future for building a robust cyber-secure strategy. Read the complete article in the latest Pharma Focus Europe ebook here: https://cogniz.at/4fUTwNm #cybersecurity #AI #pharmatech #datasecurity #cyberthreats

With sensitive IP from blockbuster drug development data at heightened risk from sophisticated cyber threats, traditional security defenses are no longer enough. Read our latest article in today’s Pharma Focus Europe, to hear Juan José López González, Associate Director of Cyber Security Architecture and Governance, Life Sciences Manufacturing at Cognizant, as he outlines strategies for securing pharma manufacturing’s rapidly expanding data landscape utilizing AI. In this article Juan discusses: - How AI can be used in real-time to detect and respond to cyber attacks - Where it can be used to identify system vulnerabilities - Six key considerations for adopting an AI-driven cyber security initiative - How AI is reshaping cyber resilience in life sciences - The future state for embedding AI into cyber strategies From machine learning and algorithms analyzing vast amounts of data in real-time and identify patterns and anomalies indicative of cyber threats, to the automation of core tasks such as vulnerability scanning, patch management, and compliance monitoring to enhance incident response, AI is the future for building a robust cyber-secure strategy. Read the complete article in the latest Pharma Focus Europe ebook here: https://cogniz.at/4fQ96cW #cybersecurity #AI #pharmatech #datasecurity #cyberthreats

With sensitive IP from blockbuster drug development data at heightened risk from sophisticated cyber threats, traditional security defenses are no longer enough. Read our latest article in today’s Pharma Focus Europe, to hear Juan José López González, Associate Director of Cyber Security Architecture and Governance, Life Sciences Manufacturing at Cognizant, as he outlines strategies for securing pharma manufacturing’s rapidly expanding data landscape utilizing AI. In this article Juan discusses: - How AI can be used in real-time to detect and respond to cyber attacks - Where it can be used to identify system vulnerabilities - Six key considerations for adopting an AI-driven cyber security initiative - How AI is reshaping cyber resilience in life sciences - The future state for embedding AI into cyber strategies From machine learning and algorithms analyzing vast amounts of data in real-time and identify patterns and anomalies indicative of cyber threats, to the automation of core tasks such as vulnerability scanning, patch management, and compliance monitoring to enhance incident response, AI is the future for building a robust cyber-secure strategy. Read the complete article in the latest Pharma Focus Europe ebook here: https://cogniz.at/3ZbCNyj #cybersecurity #AI #pharmatech #datasecurity #cyberthreats