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[SITUATION] · [QUIET] · [TECHNOLOGY]
11 clusters · 39 sources · 40 days · First seen · Last updated
AI, cloud adoption, and identity-centric security evolution
Overview
The integration of artificial intelligence and multi-cloud architectures is fundamentally shifting enterprise security from traditional network perimeters toward identity-centric models. As organizations distribute workloads across various hyperscalers and private clouds, Identity and Access Management (IAM) has become a critical battleground, with the market projected to reach up to US$39.5 billion by 2029. This evolution is driving the adoption of Zero Trust principles and Identity Threat Detection and Response (ITDR) tools.
AI adoption is simultaneously reshaping business agility and expanding the threat landscape. While 75% of companies use AI to improve efficiency, the reliance on APIs for cloud and microservices introduces vulnerabilities such as weak authentication and business logic flaws. Furthermore, the rise of ‘agentic AI’ and generative AI has democratized sophisticated attacks, such as highly targeted phishing, by lowering technical barriers for attackers. In response, new technologies like Quest’s AI-powered Security Management Platform are emerging to provide continuous mapping of human and non-human identities and autonomous isolation of compromised accounts.
Cybersecurity is increasingly transitioning from a technical task to a strategic governance challenge. A significant gap persists between perception and reality, as 94% of boards express confidence in their security despite rising sophistication. The World Economic Forum’s Global Cybersecurity Outlook 2026 notes that 87% of leaders identify AI-related vulnerabilities as the fastest-growing risk. AI is also accelerating exploitation speeds, reducing the window for defense from months to hours. Consequently, organizations are being urged to move toward context-based strategies that translate technical risks into financial and operational impacts to ensure resilience.
Entities
Palo Alto Networks · BSI · Ramkumar Balakrishnan · Abrapp · Fortinet
Timeline
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[TECHNOLOGY] 2 sourcesCybersecurity risks drive focus on OT protection and insurance
Rising cyber risks in OT, IoT, and pension funds are driving a focus on specialized security controls and the expansion of cyber insurance to protect industrial operations and sensitive data.
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[TECHNOLOGY] 2 sourcesCybersecurity investment rises amid critical infrastructure risks
Critical infrastructure faces rising cyber threats and physical safety risks, driving 84% of executives to increase cybersecurity budgets to combat AI-powered attacks and legacy system vulnerabilities.
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[TECHNOLOGY] 3 sourcesCybersecurity risk shifts into organizational workflows, research shows
2026 Voice of the CISO data shows cybersecurity risk is shifting into organizational workflows, requiring focus on AI governance, human risk, and data movement across cloud and SaaS platforms.
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[TECHNOLOGY] 3 sourcesCybersecurity investment fails to bridge operational maturity gap
A Logicalis study shows that despite rising cybersecurity budgets, 74% of companies struggle to automate threat responses, while AI-driven attacks increase risks across global supply chains.
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[TECHNOLOGY] 10 sourcesIndustrial cybersecurity risks rise due to IT/OT convergence
Industrial companies face rising cyber risks as IT and OT convergence increases vulnerabilities, with 46% reporting incidents and attackers moving toward direct manipulation of production processes.
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[TECHNOLOGY] 5 sourcesMicrosoft and AI-driven platforms target cybersecurity operational efficiency
Cybersecurity providers are moving toward integrated AI platforms like Microsoft's ISOC to combat automated attacks and reduce analyst fatigue caused by fragmented security tools and false positives.
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[TECHNOLOGY] 7 sourcesCybersecurity risks escalate as AI and IT/OT convergence accelerate attacks
Cybersecurity threats are accelerating due to IT/OT convergence and AI, with attack speeds increasing and the potential for digital breaches to paralyze physical industrial operations.
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[TECHNOLOGY] 3 sourcesCybersecurity experts advocate for AI-driven security and SASE architecture
Cybersecurity leaders emphasize the need for AI-driven security and SASE architecture to address evolving digital threats and the inadequacy of traditional, fragmented security models.
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[TECHNOLOGY] 2 sourcesIdentity security and AI-driven threats reshape cybersecurity strategies
Cybersecurity firms are addressing identity security and AI-driven threats through new AI-powered management platforms and ‘Cyber First’ strategies that embed security into the foundation of enterprise AI.
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[TECHNOLOGY] 3 sourcesAI adoption and API security trends in modern business
Businesses are increasingly adopting AI to drive agility and efficiency, while simultaneously facing heightened cybersecurity risks due to the widespread use and vulnerability of APIs.
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[TECHNOLOGY] 2 sourcesCloud adoption and AI drive shift toward identity-based security
The rise of multi-cloud environments and AI is shifting enterprise security focus from network boundaries to identity, driving significant growth in identity and access management investments.
Sources
ad-hoc-news.de · atpinfo.de · be-com.fr · bitmat.it · blog.abrapp.org.br · blog.quadrotech-it.com · brainstorm.itweb.co.za · cdu-aachen.de · cybernoz.com · datenschutz-praxis.de · defence-conference.de · diarioelpulso.cl · ebizlatam.com · economiadigital.es · ecritel.fr · egovernment.de · elektronikpraxis.de · elektrotechnik.vogel.de · enterpriseitworldmea.com · esteval.fr · grandespymes.com.ar · ictbusiness.biz · insidetelecom.com · it-online.co.za · itnews.com.au · itshow.com.br · japan.zdnet.com · mediabanco.com · news.mynavi.jp · noticiasdemalaga.es · plantaodoslagos.com.br · protector.de · prtimes.jp · rionegro.com.ar · tahawultech.com · techtarget.itmedia.co.jp · thehackernews.com · uni-paderborn.de · wp.techtarget.itmedia.co.jp
This summary has been updated 11 times: see revision history