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16/07/2026

NIS2 preparation in practice: beyond compliance, with real lessons learned

Real NIS2 readiness starts with knowing your systems, risks and responsibilities. See the lessons learned from practical preparation projects.
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10/07/2026

SCA in practice: vulnerability management becomes part of the build process

Transitive dependencies can hide serious vulnerabilities from developers. Learn how SCA exposes the full dependency chain and guides safer remediation.
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25/06/2026

Data center redesigned: AI, VM Essentials, and backup in practice

Too many alerts, rising virtualization costs and complex backups? Learn how AI, HPE Morpheus VM Essentials and enterprise data protection can simplify infrastructure operations.
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18/06/2026

Agentic NetOps, or the Self-Healing Network

What if your network could do more than send alerts? Agentic NetOps brings AI-powered analysis, risk assessment and automation to help IT teams solve issues before chaos spreads.
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11/06/2026

Security teams' new adversary isn't hackers, but speed

Gartner and Frost & Sullivan signal the same shift: cybersecurity can no longer rely on old SIEM tools and annual awareness training. AI, automation, and secure behavior now shape real resilience.
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04/06/2026

Not enough to know what we’re developing—also need to know what it’s made of

Modern apps are built from countless third-party components. Learn how SCA reveals hidden dependencies, vulnerabilities, license risks, and supply chain threats.
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28/05/2026

Hackers may have compromised the GitHub accounts of thousands of users

The Megalodon campaign shows how hackers can quietly compromise software projects by targeting build and release systems, not just code. Thousands of GitHub repositories may have been exposed to hidden data-theft risks.
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21/05/2026

Lessons learned from the CyberCon26 conference

Key lessons from CyberCon26 show why protecting nuclear facilities is no longer just technical: it depends on global cooperation, research, simulations, skilled people, and secure training.
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15/05/2026

When the network doesn’t learn—it’s intelligent from the start

AI-native networking marks a major shift in enterprise infrastructure: instead of adding AI later, intelligence is built into the network from the start, enabling automation, resilience, and measurable business value.
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