Anti Targeted Attack Platform
Network Traffic Analysis driven by Machine Learning
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.
Threat Emulation through Advanced Sandboxing
Static analysis of network traffic does not provide adequate security on its own. Multilayered malware, additional payloads and hidden command and control communication requires multi-dimensional detection capabilities at the perimeter level to avoid endpoints and servers being compromised. Enterprises need to have extremely powerful detection engines (internal virus lab) to detect threats at the first stage, before lateral movement. Such Advanced Sandbox is based on established Kaspersky Lab technology that provides multi-layered detection with exploits discovery, user emulation, randomization of OS components, anti-evasion techniques and acceleration.
The ML-based correlation engine aggregates network-level telemetry and verdicts and empowers it with endpoint-level data from Kaspersky Endpoint Security. It gives complete visibility and correlates incidents with rich context, fully automated and easy to use for better decision making.
Built around a Machine Learning core (Targeted Attack Analyzer) the platform combines advanced detection capabilities using static, behavioral, cloud reputation, sandboxing, YARA and pattern-based detection engines.
In addition to full network traffic analysis the platform automatically analyzes URLs in emails, password-protected archives and attachments to protect mail traffic, regardless of implementation mode: cloud, on-premise or encrypted. To prevent threats, the platform integrates with the Kaspersky Secure Mail Gateway.
Kaspersky Anti Targeted Attack Platform is an additional layer of network defense. Multi-dimensional advanced threat discovery with unified proxy, web, email and endpoint visibility and correlation for organizations including:
Professional help is available whenever you need it. Operating in more than 200 countries, from 34 offices worldwide, we have you covered 24/7/365. Take advantage of our Premium support packages, or call on our Professional Services to ensure that you derive maximum benefit from your Kaspersky Lab security installation.
* Appliances can be virtual, VMware vSphere is recommended as a platform.
As the adoption of digital technologies such as the cloud, big data, mobile IoT and artificial intelligence continues apace, together with increasing inter-connectivity, new security, compliance and data protection challenges arise.
Data management and compliance issues which can slow business evolution
Lack of a planning and a unified security strategy for Incident Response
Shadow IT and low visibility over business assets, and the corresponding risks
New business initiatives suffering from ineffective or unsuitable security
Too many alerts to be verified due to 'false positives'
Stolen credentials and permissions which can put businesses at significant risk
Certified by ICSA Labs Advanced Threat Defense test. Kaspersky Anti Targeted Attack Platform achieved an incredible 100% detection rate with 0% false positive
A competitive analysis of the market for APT Protection solutions by The Radicati Group awarded Kaspersky Lab’s Anti Targeted Attack platform with the “Trail Blazer” leadership position.