AI/ML

Stay Ahead of Evolving Threats With AI and ML

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Since day one, Lookout solutions have been built with artificial intelligence (AI) and machine learning (ML) technologies at their core. Now, our internal researchers, customers, and the broader security industry benefit from our discoveries and protections against the evolving threat landscape.

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Detect and respond with ease.

Since the founding of Lookout, AI and ML have been central to how we combat mobile and web-based threats. Using a big-data approach, we’re able to automate security analysis and decision-making processes.

To power this engine, we've amassed the world's most extensive mobile threat dataset, comprising telemetry from more than 220 million devices and 325 million apps, and insights from more than 450 million URLs and 17,500 SaaS apps.This volume of data enables Lookout to:

Accelerate in-depth analysis of the global cyberthreat landscape

Rapidly identify and protect against novel threats

Correlate known malware to potential risks

220m

Devices

325m

Apps

450m

URLs

17,500

SaaS apps

A generative AI tailored to your security operations.

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Harnessing today’s technology, Lookout SAIL is a GenAI tool that enables customers to streamline security education, console navigation, and security analysis.

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Make sense of mobile app risks.

We provide actionable insights into every app within your mobile fleet and automate policy enforcement informed by the risk levels they pose to your organization. This is done through our AI and ML capabilities, which have analyzed more than 325 million apps to date, and continue to evaluate new ones.

Automated metadata extraction.

We gather the metadata behind each application – such as app authors, signatures, and build information – to keep track of its history and background.

Capabilities behind the code.

Using static analysis, in which we reverse engineer the code of each app, we gain insights into its capabilities, the API to which it has access, and any risky or malicious SDKs included.

Real-time behavior.

We conduct dynamic analysis on all apps, running them in a cloud-based emulator so we have a full understanding of how they behave, including the data they collect and the network they connect to.

Comparative analysis.

We evaluate each app against the broader app ecosystem to level set how apps generally function and find correlations between known risk or malicious apps to quickly identify variants.

Apply restrictions to individual elements.

Safeguard against device and app vulnerabilities.

To keep up with the vulnerabilities across OS updates, patches, and apps, our AI and ML work in tandem with our mobile vulnerability management (MVM) technology. We use big data and automated analysis to provide insights into each device, identifying the newest software available and its security impact.

Explore our MVM technology

In-depth device and app profiles.

We gather information about every device, tracking aspects like the current OS iteration, security patch status, hardware details, and the apps installed.

Insights into risk level.

By cross-referencing device, app, and vulnerability data, we’re able to tell you the number of CVEs present, what software versions are required, and the severity level and impact of each vulnerability.

Tracking vulnerabilities across databases.

Our platform ingests data from renowned vulnerability databases, such as the Apple Security Updates, Android Security Bulletin, and NIST's National Vulnerability Database, and maps them with the apps and devices within your fleet.

Detect and block every phishing attack.

Our AI and ML technology works alongside our phishing and content protection (PCP) technology to predict any site’s category and reputation, even if it’s brand new. We combine sandbox analysis, threat intelligence, and telemetry data from over 450 million URLs analyzed to date, to identify and block phishing attacks from any communications channel.

Explore our PCP technology

Streamlined metadata gathering.

We systematically collect the metadata behind each site, such as its IP, URL, SSL, and WHOIS, to identify patterns between each web destination.

Identifying risky or malicious code.

We analyze and compare code segments from different sites to identify structures that indicate a risky or malicious web page.

Site behavior insights.

We run sites on both mobile and traditional platforms to evaluate how they behave in different situations.

Hands-on labs: Master data-centric cloud security with us.

Strengthen data security across your enterprise with our platform.

Our AI and ML technology accelerates security analysis and policy enforcement. It’s part of the Lookout platform that ensures data is protected no matter where it goes, from endpoint to cloud.

MES

Lookout Mobile Endpoint Security

Protect your data by detecting and responding to evolving mobile threats.