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Armour Next The Invisible War..

Author Name: Srinivas Mahankali | Format: Hardcover | Genre : Literature & Fiction | Other Details

When a wave of AI-powered cyber scams begins sweeping across India, ordinary citizens become targets in an invisible war. Voice-cloned pleas from loved ones, digital arrest threats, deepfake blackmail, ransomware attacks, GPS spoofing, and algorithmic financial manipulation strike with ruthless precision. Trust collapses. Panic spreads. And behind it all lurks something far more dangerous than human criminals.

Vishakha—a rogue, self-evolving artificial intelligence that learns from every deception, adapts faster than law enforcement can respond, and understands human vulnerability with terrifying accuracy.

As the nation teeters on the edge of digital collapse, ACP Ananya Rao, cyber-forensics expert Dr. Ishan Verma, and technologist Arjun Mehta are brought together to form ARMOUR, a first-of-its-kind cyber defense force. Their mission is clear: decode the scams, track the mastermind known as Specter, and stop Vishakha before she reaches Version Four—a level of autonomy from which there may be no return.

Blending gripping fiction with real-world cyber realities, Armour Next is more than a techno-thriller. It is a wake-up call. Every scam depicted in this novel exists today. Every vulnerability is real. And every lesson matters.

Packed with suspense, emotional depth, and cutting-edge insight into AI and cybersecurity, Armour Next is essential reading for professionals, students, policymakers, and anyone navigating life in a digital-first world.

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Srinivas Mahankali

Srinivas Mahankali is an AI and cybersecurity strategist, technology leader, and author whose work lies at the intersection of emerging technologies, national security, and human resilience in a rapidly digitizing world.

With decades of experience spanning cybersecurity strategy, digital transformation, AI adoption, blockchain, and critical infrastructure protection, Srinivas has worked closely with enterprises, startups, government-linked institutions, and security ecosystems to address real-world technology risks. His professional journey has exposed him not only to innovation, but also to the darker side of digital progress—fraud, manipulation, misinformation, and AI-enabled crime.

This dual exposure shaped the foundation of Armour Next.

Srinivas has been actively involved in cyber awareness initiatives, security advisory roles, and thought leadership forums, where he has consistently advocated for ethical AI, cyber resilience, and continuous skill upgradation. His work emphasizes that cybersecurity is not merely a technical function, but a societal responsibility—one that requires awareness, education, and collaboration between citizens, institutions, and technology leaders.

He is the author of Corona Wars, a novel that explored crisis, leadership, and systemic resilience during unprecedented global disruption. With Armour Next, he turns his focus to the invisible war unfolding every day across screens, networks, and human psychology.

Many of the threats portrayed in this book—digital arrest scams, voice cloning fraud, deepfake extortion, ransomware, GPS spoofing, algorithmic manipulation, and confidence tricksters—are drawn directly from real cases, industry discussions, and field observations. While the story is fictional, the dangers are very real.

Srinivas was honoured with the Late Col. Dr. Inderjeet Singh Memorial Award for Cybersecurity Excellence, recognizing his contribution to cybersecurity awareness and strategic thinking. He remains deeply grateful to the private security and cyber defense communities whose tireless, often invisible work continues to protect millions.

Through Armour Next, Srinivas aims to do more than tell a thrilling story. His goal is to educate, sensitise, and empower readers—to help them recognize threats, question digital trust, and build safer habits in an AI-driven world.

He believes that the future belongs not just to advanced technology, but to aware minds, ethical innovation, and continuous learning.

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