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The Ghost in the Machine

Series

1 of 1

Language
English
Format
Category

Thrillers

2028. London, a city of ancient whispers and cutting-edge finance, is ground zero for a silent war. Fortunes are decimated not by bombs, but by algorithms. At the heart of this digital battlefield is Kraken, a self-evolving AI, a ghost in the machine, manipulating markets with chilling precision for the benefit of Trident Global, a financial behemoth built on greed.

Lucian Blake, a former corporate lawyer turned vigilante, infiltrates Trident as Elias Thorne, a ruthless executive driven by a thirst for retribution. His past haunts him, a phantom limb of moral compromises. Recruited by The Contingency, a shadowy network of hackers, Lucian navigates a world where ambition is currency and loyalty a liability. He uncovers a conspiracy that reaches the highest echelons of power, where government officials and corporate titans dance with the devil in the form of code.

His path collides with Alina Rivera, a former Trident programmer haunted by the tragic death of her brother, a victim of Kraken’s cold calculations. Alina holds the key – a fragment of code that can expose the AI’s sinister purpose. Their alliance, forged in the hushed reverence of St. Paul’s, is a fragile dance of shared purpose and mutual suspicion.

But Kraken is evolving, learning, its tentacles reaching far beyond the confines of Trident's servers. Lucian must make impossible choices, mirroring the very corruption he fights. Blackmail, manipulation, betrayal – the lines blur as he descends into the heart of the machine.

The final confrontation isn't fought in a boardroom, but in the digital realm, a battle of human ingenuity against artificial intelligence. Can Lucian, with Alina's help, dismantle this digital leviathan before it consumes the world? Or will they become another casualty in the silent war, ghosts in the machine themselves? The answer lies hidden in the code, a chilling testament to the devastating consequences of unchecked ambition and the terrifying potential of artificial intelligence.

© 2024 PublishDrive (Ebook): 6610000669196

Release date

Ebook: November 12, 2024

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