Sign up for email alerts on publications, events, vacancies, and more. The European Union Agency for Cybersecurity (ENISA) releases 4 reports on the most far-reaching challenges in artificial intelligence (AI) on the occasion of the conference on the supervision of secure and trustworthy AI. This report allows better assessment of the reality that artificial intelligence brings its own set of threats, which consequently insists on the search for new security measures to counter them. The aim of this study is to identify needs for research on AI for cybersecurity and on securing AI, as part of ENISA’s work in fulfilling its mandate under Article 11 of the Cybersecurity Act . The main objective of this report is to introduce cyber risk and cyber insurance, provide an overview of existing research and modelling approaches, and identify gaps for upcoming research projects. Together, these capabilities give enterprises complete visibility, prioritized risk insights, and automated mitigation — enabling visibility and AI intelligence that power identity-first security without compromise.

AI agents are now used to craft millions of personalized scams tailored to victims’ specific digital profiles and psychological vulnerabilities. AI-generated misinformation and deepfake technology can fabricate political scandals, alter public records, and misrepresent candidates, misleading voters https://lievell.com/10-essential-cybersecurity-tips-for-your-organization-this-holiday-season.html and eroding trust in electoral processes. AI has dramatically lowered barriers to cyberattacks, deepfake-driven manipulation, misinformation campaigns, large-scale fraud, and social engineering, creating unprecedented challenges for governments and private sector stakeholders.

• IOS XE 26 delivers industry-first full-stack post-quantum cryptography (PQC) protections for the enterprise, defending organizations against device tampering and data compromise designed to align with evolving European and global regulatory guidance.
• “That gives security teams a way to continue analyzing attack artifacts when hosted models block the content, while keeping sensitive artifacts and credentials inside the enterprise environment,” Kelley said.
• With more than 3.4x revenue growth, Cyera’s rapid growth reflects its category leadership and scale of opportunity ahead as enterprises look to secure data with the speed and precision this new era requires.
• If organizations don’t have the right protections in place, they instantly become a prime target for cybercriminals which according to a Unit 42® 2024 Incident Response Report are increasing the speed at which they steal data with 45% of attackers exfiltrating data in less than a day after compromise.

At Logicalis, we see https://magzinenews.com/digest/why-manufacturing-data-analytics-services-are-a-game-changer-for-modern-industry/ this shift playing out across industries as organizations rethink how cybersecurity fits into broader digital transformation efforts. This creates new cybersecurity challenges related to performance, availability, and expanded attack surfaces. Many organizations are also aligning infrastructure monitoring, identity security, and threat detection within unified security platforms to improve visibility and reduce operational complexity. AI itself can support these efforts by analyzing policies, comparing regulatory frameworks, and identifying compliance gaps in real time. Leading organizations are shifting toward continuous compliance models that integrate governance directly into day-to-day security operations. Yet many organizations still treat compliance primarily as a documentation exercise rather than an operational capability.

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But AI is expanding what security teams need to ask. For security teams, the challenge isn’t simply more data to protect. As AI adoption https://objavlenie.com/confidential-computing-a-quarantine-for-the-digital-age.html accelerates, more applications and identities are connecting to sensitive data, including AI systems that can access, retrieve, and surface that data in ways that weren’t possible before. In addition, Wiz continues to support security ecosystems with integrations to the outer layer of the cloud, including Google Cloud Apigee, Cloudflare AI Security for Apps, and the Vercel platform, further extending the power of the Wiz Security Graph.

Governance in the context of AI security includes oversight of how AI models are trained, how data is used, and how automated decisions are monitored for risk. According to a Global Threat Intelligence Report by Deloitte, generative AI can automate cyberattacks, scan attack surfaces, and generate phishing content tailored to specific regions and demographics. On the threat side, AI is enabling more sophisticated attacks at greater speed and scale.

• AI-Era delivers product design and development by combining human-centered design, engineering precision, and AI-driven intelligence to create scalable, reliable, and market-ready products aligned to real-world needs.
• The aim of this study is to identify needs for research on AI for cybersecurity and on securing AI, as part of ENISA’s work in fulfilling its mandate under Article 11 of the Cybersecurity Act .
• In addition, Cisco announced further Splunk integrations that unify data across platforms, helping security teams automate tasks and respond faster to threats.
• When threats like deepfakes and sophisticated phishing evolve daily, organizations need a way to deploy relevant, engaging education at the same speed as the attackers.
• They can quietly degrade decisions at scale without generating a single alert that a SOC would recognize as malicious.
• While the promise of AI can fundamentally reshape business operations, it has also created new risk vectors and opened the doors to nefarious individuals that most enterprises are not currently equipped to mitigate.