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the cyber security and AI landscape is
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evolving at a breathtaking Pace bringing
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with it new risks and challenges as we
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look towards 2025 the interplay between
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these Technologies promises both
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groundbreaking advancements and
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significant threats the cyber security
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field faces a critical challenge with a
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Workforce gap of nearly 4.8 million
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professionals this shortage comes at a
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time when artificial intelligence is
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rapidly advancing raising questions
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about whether AI will help bridge this
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Gap or exacerbate existing security
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challenges let us explore seven key
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predictions for 2025 that highlight the
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pressing concerns shaping the cyber
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landscape first we can expect another
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large-scale security event similar to
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the crowd strike incident of 20
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2024 this time it may stem from a
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different security vendor's
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vulnerability hackers have likely
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learned from past disruptions and may
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Target tools with deep access to
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organizational networks prepare for
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potentially longer downtimes and more
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patches second AI browser plugins pose a
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silent but significant
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threat these seemingly helpful tools can
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bypass traditional security controls
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potentially exposing confidential
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information or creating gateways for
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malware organizations must Implement
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rigorous vetting processes and enforce
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strict plug-in management to mitigate
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these risks third the rise of agentic AI
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systems capable of autonomous decision
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making presents new challenges as
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adoption scales the potential for these
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systems to go Rogue increases
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adversarial attacks and misaligned
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optimization could turn these AI agents
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into significant liabilities potentially
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causing operational shutdowns or safety
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hazards fourth the AI Hardware Chip War
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intensify AI chips are crucial for
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running Advanced algorithms but they
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come with their own vulnerabilities and
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geopolitical risks sanctions and supply
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chain restrictions may impact access to
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high performance chips while security
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risks from onchip controls could lead to
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unauthorized access or altered
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outcomes fifth digital deception will
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evolve Beyond traditional fakes
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generative AI tools will be exploited to
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create increasingly convincing but
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harmful content from false medical
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advice to fraudulent business
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Communications advances in text to video
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technology will make it harder to
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differentiate genuine content from
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manipulated media escalating risks for
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targeted scams and reputational attacks
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sixth AI regulation will become the next
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major compliance challenge the European
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Union's AI Act is set to transform form
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Global regulations similar to how gdpr
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impacted data privacy businesses
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worldwide will need to align their AI
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practices with these new rules facing
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considerable challenges in navigating
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their complexity and balancing rapid AI
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adoption with compliance
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requirements lastly ai's ability to find
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signals and noise May compromise data
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privacy in new ways hackers might Target
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both synthetic data and machine learning
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models potentially reverse engineering
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dat data sets to infer sensitive
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information AI could also be used to
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reconstruct Source personally
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identifiable information from multiple
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streams of pseudo anonymized or even
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anonymized data as we navigate this
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rapidly changing landscape the need to
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experiment learn and adapt has never
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greater understanding these Technologies
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Hands-On is essential to identifying
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both opportunities and risks in 2025 it
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will be crucial to dive into AI
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understand its potential and arm
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yourself with the Knowledge and Skills
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to stay ahead of its rapid Evolution the
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future belongs to those who can learn
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adapt and innovate in this new era of AI