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Public reporting suggests the Trump administration is preparing a national cybersecurity strategy for 2026. Here is what is known so far and what is being discussed.
The convergence of AI and cybersecurity is no longer theoretical; it is the new battleground for protecting national data, critical infrastructure, and public trust. But while the potential of AI is vast,
Infosecurity explores the biggest cybersecurity mergers and acquisitions of 2025, including two mega-deals that reshaped the industry
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In 2026, a new frontier of attacks will be data poisoning: invisibly corrupting the copious amounts of data used to train core AI models that run on the complex cloud-native infrastructure powering the modern AI data center. Adversaries will manipulate training data at its source to create hidden backdoors and untrustworthy black box models.
Cybersecurity has gone through multiple transformations over the last decade, but as AI reshapes the threat landscape, solution providers are being asked to evolve once again.
NIST developed the preliminary draft through feedback from the initial concept paper the agency published in February, a workshop it hosted in April and a series of community of interest meetings held through mid-2025. The agency plans to publish the framework’s initial public draft in 2026.
Multiple presidents have tasked NIST with developing security guidance for AI. President Joe Biden ordered NIST to publish standards for AI security testing and synthetic content. President Donald Trump has rescinded some of those directives and added others, including instructions for NIST to help other agencies evaluate their AI models.
In an increasingly digitized world, cybersecurity remains a critical concern. Research shows that cyberattacks spike during holiday seasons. As people
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