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Artificial Intelligence and Cybersecurity
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A key resource on artificial intelligence and cyber security, exploring how AI could transform the way digital assets can be better protected, as well as the emerging threats AI could bring and what they mean for our digital future
Curated by
JC Gaillard
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From
www
From scaling laws and autonomous AI risks to the complexity of enterprise adoption, here’s what executives must know—and act on—over the next three years. 
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From
technative
Over the past two years, the rapid expansion of generative AI (GenAI) has driven widespread innovation and a global surge in demand from enterprises.
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Agentic AI needs onboarding to avoid misclassifying threats, false positives, or missing subtle attacks and to adapt effectively.
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From
www
As criminals and attackers use AI more advanced and insidiously, we need to defend faster and brighter than ever. How do we do that as an industry, especially when so many companies do not have a fully fledged cybersecurity department?
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AI readiness framework ensures resilient cybersecurity by integrating ethics, data, governance, and collaboration into AI strategies.
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An AI vendor without strong security controls is a risk—if it can’t track API use or access, it doesn’t deserve your business.
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AI-powered ransomware could prove to be more effective than what criminals create manually. Learn how these dynamics might play out.
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Agents could make it easier and cheaper for criminals to hack systems at scale. We need to be ready.
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From
bgr
New reports of AI prompt injection attacks and the success they're seeing at exploiting AI have surfaced, and there's no easy fix.
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From
thenewstack
By using AI to automate security tasks, identify vulnerabilities and respond to threats in real time, organizations can strengthen their security posture and stay ahead of the fast-evolving threat landscape.
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From
www
AI tools make it simple for threat actors to reverse-engineer, analyze, and exploit applications.
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From
www
Artificial Intelligence is reshaping cybersecurity and digital privacy, promising enhanced security while simultaneously raising questions about surveillance, data misuse, and ethical boundaries.
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From
www
Insights from the 2025 RSAC reveal how AI is reinventing cybersecurity: a threat and opportunity for businesses.
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Managing non-human identities with agentic AI enables zero-trust compliance and swift, unbiased access control across systems.
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From
technative
A balanced approach, combining human expertise with AI’s capabilities, will create a safer online environment and ensure businesses are resilient in the face of future cyber challenges.
Hiba_Zineb's curator insight,
June 5, 7:22 AM
L’article présente des applis pour mieux réviser. Il est pratique et pertinent pour les étudiants comme nous.
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Expected to ease security teams’ workloads, AI is adding pressure, forcing them to govern and adopt it while managing existing responsibilities, often without proper training.
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From
www
Agentic AI is reshaping security operations by reducing alert fatigue and enabling faster threat response—ushering in a new era of autonomous, transparent SOCs.
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As AI becomes embedded in daily business workflows, the risk of data exposure increases. CISOs cannot treat this as a secondary concern.
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AI and automation are changing the way organizations want to work, but they’re also changing how quickly and effectively threat actors operate. These trends are already colliding with no sign of slowing down.
Hiba_Zineb's curator insight,
June 5, 7:30 AM
Cet article montre comment l’IA aide au cybersécurity et à personnaliser l’apprentissage. Il est utile pour comprendre l’évolution des outils éducatifs.
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As AI-generated code becomes more common, some CISOs argue that overreliance could erode developers’ critical skills which can create blind spots organizations shouldn't ignore.
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Even those with no hacking experience or technical expertise can leverage AI to launch cyberattacks on enterprises.
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From
www
CFOs looking to bolster cybersecurity at their firms need to have a thorough understanding of both the benefits and disadvantages of artificial intelligence.
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CISOs should adopt a proactive security approach, from release to operation, to protect ML models from emerging threats.
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Malicious campaigns targeting code used by developers of AI applications underscore the need to develop comprehensive risk-based programs around software dependencies and components.
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