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Kaspersky updates corporate endpoint security solution

Kaspersky Lab’s endpoint solution addresses data protection cited as the most important security concern for businesses

Kaspersky updates corporate endpoint security solution
The new Kaspersky Endpoint Security for Business can be used as a sensor for Kaspersky Anti-Targeted Attack platform.

Kaspersky Lab has released the newest version of Kaspersky Endpoint Security for Business, the company’s flagship solution for corporate security.

The new edition comes with several manageability enhancements, increased flexibility in data protection, and centralised management of more platforms, applications and devices.

Businesses today are facing the challenge of growing IT complexity and a security management environment that is becoming a major pain point for companies. According to the IT Security Risks 2016 research conducted by Kaspersky Lab and B2B International, nearly one in five businesses worldwide struggles with managing security across various platforms. In addition to securing all platforms, devices using Kaspersky Endpoint Security for Business, Kaspersky Security for Exchange Servers and Kaspersky Security for SharePoint can now be all monitored through Kaspersky Security Centre, the solution’s unified administration console— extending integrated multi-layered protection beyond endpoints to employee collaboration and communications.

To make security management easier, new features and improvements include the full remote deployment of Kaspersky Endpoint Security for Mac. Simplified deployment, protection and management of mobile devices, along with a new Wi-Fi management option (providing a list of trusted Wi-Fi networks) will help businesses keep up with mobility and BYOD trends without compromising on their security or efficiency, the company says.

As a part of its enterprise-focused functionality, the new Kaspersky Endpoint Security for Business can be used as a sensor for Kaspersky Anti-Targeted Attack platform. Once installed, the sensor component can collect and deliver data to the platform, providing more visibility into corporate systems. The Changes audit functionality in Kaspersky Endpoint Security for Business allows IT security teams to track changes in policies and tasks, and compare revisions to identify any differences instantly. This significantly improves control over changes in the security settings.

Kaspersky Lab’s endpoint solution addresses data protection — the most important security concern for businesses, according to the IT Security Risks 2016 research. With new hard drive encryption capabilities, available via Microsoft BitLocker management or Kaspersky Disk Encryption, companies can be sure that cybercriminals will not access the critical data that can expose customers, partners or undermine their business continuity — even if they obtain stolen or lost devices. Kaspersky Security Centre remotely manages Microsoft BitLocker, monitors the status of encrypted devices and backs-up encryption keys to restore forgotten access credentials.

HuMachine Intelligence: Kaspersky Lab’s approach to fighting modern cybersecurity threats

New Kaspersky Endpoint Security for Business is based on Kaspersky Lab’s HuMachine intelligence approach — a fusion of threat intelligence with machine learning and the expertise of the company’s best security teams. Cyber threats are detected with machine learning algorithms trained on big data from the Kaspersky Security Network. A global cloud-based threat intelligence platform, Kaspersky Security Network processes metadata voluntarily submitted by millions of Kaspersky Lab product users, while security experts are constantly adapting mathematical models to detect new sophisticated threats.

Kaspersky Endpoint Security for Business delivers cybersecurity covering several levels of the corporate IT network: while there are specific applications providing defence for different infrastructure node types, a multi-layered stack of protection technologies operates on each of these nodes.

Threats are identified and blocked by a combination of techniques. Besides precise algorithms providing false positive-free detection of known malware, there are Machine Learning-based heuristics and behavioural mechanisms capable of detecting previously unknown, sophisticated specimens. These mechanisms include:

- Structural heuristics, including locality-sensitive hashing and decision tree ensembles

- Emulation-based detection mechanisms, using safe ‘pseudo-execution’ of both scripts and binaries

- Behavioural System Watcher technology providing detection of the most advanced, heavily obfuscated malware types – and ‘nextgen’ attack models such as ransomware and Powershell-based malware. Its on-the-fly micro-backup and automatic rollback features make sure that malicious activity is reverted right after malware detection. This is very important in the case of a ransomware attack.

- Automatic Exploit Prevention (AEP) mitigates exploit techniques and protects popular targets, such as Java, Flash, Adobe Reader, browsers and office applications even in the case of a zero-day scenario.

The Kaspersky Security Network delivers cloud protection with immediate reaction to new threats, while on-premise Machine Learning models allow for the detection of new threats even in offline mode.

Kaspersky Lab’s security professionals analyse sophisticated threats and constantly tune Machine Learning algorithms to minimize the possibility of errors. Human experience and expertise are indispensable for teaching the machines while leveraging the comprehensiveness of globally acquired threat data.

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