Today’s cybercriminals constantly design unique and innovative methods of penetration and compromise. To avoid perimeter prevention technologies they use social engineering, non-malware and supply chain attacks to operate under the radar of security designed to catch ‘bad’ traces. It’s not enough to just ‘know’ what’s bad or dangerous – enterprises need to understand what’s normal, and use AI-driven techniques that simplify and automate this process. Targeted Attack Analyzer is a machine learning engine that involves self-learning to establish the baseline of normal, legitimate activities of an entire network. Through continuous network telemetry collection it finds deviations, detects suspicious activities and predicts further malicious actions at the initial stages of multilayered attacks.
Kaspersky Anti-Targeted Attack Platform offers a transparent pricing structure with no setup costs, ensuring a smooth onboarding process for users. Pricing methods typically involve subscription-based models, accommodating per-user or per-device licensing options. The pricing range is adaptable, catering to businesses of varying sizes and security needs, providing comprehensive protection against targeted attacks.
Kaspersky Anti-Targeted Attack Platform was previously known as Kaspersky Anti Targeted Attack.
