Kaspersky Anti Targeted Attack Platform

Kaspersky Anti Targeted Attack

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 with Advanced Sandboxing

The static analysis of network traffic doesn’t provide adequate security on its own. Multi-layered malware, additional payloads and hidden command and control communications all require multi-dimensional detection capabilities at perimeter level, to prevent endpoints and servers from being compromised. Enterprises need extremely powerful detection engines to discover threats at the earliest stage, before lateral movement is established. Kaspersky’s Advanced Sandbox provides multi-layered detection, mapping to the MITRE ATT&CK knowledge base for further analysis of adversaries’ tactics, techniques and procedures. Sandbox supports several emulation modes, the randomization of OS components, time acceleration in virtual machines, anti-evasion techniques and user activity simulation.

Automated correlation and complete network visibility
The ML-based correlation engine aggregates network-level telemetry and verdicts and empowers it with endpoint-level data from Kaspersky EDR. It gives complete visibility and correlates incidents with rich context, fully automated and easy to use for better decision making.
Multi-dimensional advanced detection
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.

Suitable For

Kaspersky Anti Targeted Attack Platform delivers a new, strategic approach to detecting targeted attacks.

Awards

Kaspersky Anti-Targeted Attack Platform

ICSA Labs: Advanced Threat Defense test (Q1, Q2, Q3, Q4)

Recognition

Kaspersky Threat Management and Defense

Radicati APT Protection Market Quadrant 2019

Kaspersky Threat Intelligence Services

The Forrester New Wave™: External Threat Intelligence Services, Q3 2018

In Use

The most effective and trusted solution of its kind - PROVEN
Kaspersky Anti Targeted Attacks platform incorporates proven approaches to advanced cybersecurity in a single solution. Powerful ML-based Network Traffic Analysis and Advanced Sandboxing work together to deliver superior detection rates. All analysis is performed completely on-site to avoid critical data or objects shared with the outside world. This approach delivers the right balance of trust and functionality for enterprise organizations with internal privacy concerns or external regulatory compliance requirements. As a result the platform delivers 100% detection rates*, with 0% false positives, eliminating the need to waste time responding to false alarms.
*ICSA lab, Q2 2018
Automated in-house virus lab
The all-in-one Kaspersky Anti Targeted Attack platform fully automates data collection, analysis and correlation for the entire scope of network-level advanced threats. This significantly reduces the time security teams need to spend on threat detection while improving reaction times thanks to the contextual incident representation in the single console. The platform provides a detailed analysis of a threat’s scope by identifying compromised systems, communication between local and external systems and datasets and identities affected or compromised during the attack. It facilitates active discovery of threats over proxy, Web, email and endpoint activities which may be hidden in the network.
Multi-layered Machine Learning in one technology
Kaspersky Anti Targeted Attack platform delivers a unique machine learning engine which enables multi-layered detection scenarios with automated correlation of results in one solid core. Targeted Attack Analyzer detects over-network telemetry and objects with endpoint-level telemetry and automated detection scenarios. This innovative approach, augmented with Advanced Sandboxing, provides a unique combination of all necessary detection scenarios in a single technology.

System Requirements

* Appliances can be virtual, VMware vSphere is recommended as a platform.

The Threats

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

Product

Kaspersky Anti Targeted Attack Platform

Discover advanced network threats hiding below the radar of perimeter protection