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Deception is a critical but, unfortunately, sometimes overlooked tool for anyone building a cybersecurity infrastructure. Deception platforms detect and analyze internal attack activity, including discovery, credential theft, privilege escalation, lateral movement, and data collection. These platforms use fully customizable virtual machines as decoys to mimic production assets ranging from Windows and Linux servers to network infrastructure to IoT and SCADA devices, projecting them throughout the environment. To an attacker looking for critical systems, credentials, drive share, and data, these decoys appear as tempting targets indistinguishable from production assets and worthy of exploration. Deception provides organizations with a high-fidelity, low-noise attack detection solution that not only reduces the cost of data breaches, but also increases SOC efficiencies, saving organizations as much as 32% or $22,746 per SOC analyst per year. Average dwell times are reduced by 90-97% and the cost of a data breach is reduced by over 51%, resulting in an average reduction in data breach costs of $1.98 million per incident or $75.12 per compromised record. Learn more in this whitepaper. |
