It doesn’t break. It doesn’t crash. It doesn’t warn you. It learns. AI anomaly detection was built to find what doesn’t belong. To see what humans miss. To protect what matters. But inside real systems, something else is happening. The data is incomplete. The patterns are unstable. The baseline is only a guess. And quietly, without alarms, the system begins to normalize what it should fear. Nothing looks wrong. That’s the problem. Because the most dangerous behavior isn’t loud. It doesn’t stand out. It blends in, perfectly. It becomes routine. Invisible. Trusted. And the system, designed to catch what’s different, lets it pass… again and again. You won’t see failure. You’ll see confidence. Alerts keep coming. Dashboards stay green. Scores look precise. Everything feels under control. But beneath that surface, the system is learning the wrong lessons, adapting to noise, drifting away from reality while convincing you it’s getting better. And the attackers? They’re watching. Learning the system the same way it learns them. This book pulls you inside that silent collapse. Where detection exists, but understanding doesn’t. Where signals appear, but meaning is missing. Where the line between normal and threat slowly disappears. Because the truth is not that the system failed. It’s that it never understood in the first place.
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Paperback. Etat : new. Paperback. It doesn't break. It doesn't crash. It doesn't warn you. It learns. AI anomaly detection was built to find what doesn't belong. To see what humans miss. To protect what matters. But inside real systems, something else is happening. The data is incomplete. The patterns are unstable. The baseline is only a guess. And quietly, without alarms, the system begins to normalize what it should fear. Nothing looks wrong. That's the problem. Because the most dangerous behavior isn't loud. It doesn't stand out. It blends in, perfectly. It becomes routine. Invisible. Trusted. And the system, designed to catch what's different, lets it pass. again and again. You won't see failure. You'll see confidence. Alerts keep coming. Dashboards stay green. Scores look precise. Everything feels under control. But beneath that surface, the system is learning the wrong lessons, adapting to noise, drifting away from reality while convincing you it's getting better. And the attackers? They're watching. Learning the system the same way it learns them. This book pulls you inside that silent collapse. Where detection exists, but understanding doesn't. Where signals appear, but meaning is missing. Where the line between normal and threat slowly disappears. Because the truth is not that the system failed. It's that it never understood in the first place. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789999343350
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Paperback. Etat : new. Paperback. It doesn't break. It doesn't crash. It doesn't warn you. It learns. AI anomaly detection was built to find what doesn't belong. To see what humans miss. To protect what matters. But inside real systems, something else is happening. The data is incomplete. The patterns are unstable. The baseline is only a guess. And quietly, without alarms, the system begins to normalize what it should fear. Nothing looks wrong. That's the problem. Because the most dangerous behavior isn't loud. It doesn't stand out. It blends in, perfectly. It becomes routine. Invisible. Trusted. And the system, designed to catch what's different, lets it pass. again and again. You won't see failure. You'll see confidence. Alerts keep coming. Dashboards stay green. Scores look precise. Everything feels under control. But beneath that surface, the system is learning the wrong lessons, adapting to noise, drifting away from reality while convincing you it's getting better. And the attackers? They're watching. Learning the system the same way it learns them. This book pulls you inside that silent collapse. Where detection exists, but understanding doesn't. Where signals appear, but meaning is missing. Where the line between normal and threat slowly disappears. Because the truth is not that the system failed. It's that it never understood in the first place. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9789999343350
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Paperback. Etat : new. Paperback. It doesn't break. It doesn't crash. It doesn't warn you. It learns. AI anomaly detection was built to find what doesn't belong. To see what humans miss. To protect what matters. But inside real systems, something else is happening. The data is incomplete. The patterns are unstable. The baseline is only a guess. And quietly, without alarms, the system begins to normalize what it should fear. Nothing looks wrong. That's the problem. Because the most dangerous behavior isn't loud. It doesn't stand out. It blends in, perfectly. It becomes routine. Invisible. Trusted. And the system, designed to catch what's different, lets it pass. again and again. You won't see failure. You'll see confidence. Alerts keep coming. Dashboards stay green. Scores look precise. Everything feels under control. But beneath that surface, the system is learning the wrong lessons, adapting to noise, drifting away from reality while convincing you it's getting better. And the attackers? They're watching. Learning the system the same way it learns them. This book pulls you inside that silent collapse. Where detection exists, but understanding doesn't. Where signals appear, but meaning is missing. Where the line between normal and threat slowly disappears. Because the truth is not that the system failed. It's that it never understood in the first place. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9789999343350
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Taschenbuch. Etat : Neu. AI Anomaly Detection | What It Actually Does, Where It Fails, and Why It Cannot Be Trusted Blindly | Pranav Bhatnagar (u. a.) | Taschenbuch | Englisch | 2026 | Eliva Press | EAN 9789999343350 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 136371210
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - It doesn't break. It doesn't crash. It doesn't warn you. It learns. AI anomaly detection was built to find what doesn't belong. To see what humans miss. To protect what matters. But inside real systems, something else is happening. The data is incomplete. The patterns are unstable. The baseline is only a guess. And quietly, without alarms, the system begins to normalize what it should fear. Nothing looks wrong. That's the problem. Because the most dangerous behavior isn't loud. It doesn't stand out. It blends in, perfectly. It becomes routine. Invisible. Trusted. And the system, designed to catch what's different, lets it pass. again and again. You won't see failure. You'll see confidence. Alerts keep coming. Dashboards stay green. Scores look precise. Everything feels under control. But beneath that surface, the system is learning the wrong lessons, adapting to noise, drifting away from reality while convincing you it's getting better. And the attackers They're watching. Learning the system the same way it learns them. This book pulls you inside that silent collapse. Where detection exists, but understanding doesn't. Where signals appear, but meaning is missing. Where the line between normal and threat slowly disappears. Because the truth is not that the system failed. It's that it never understood in the first place. N° de réf. du vendeur 9789999343350
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