Learn about the data-centric technologies that power Lookout’s platform.
Detects and classifies data in real time, ensuring that you know what policies to enforce.
Protects your data even when it flows to applications and endpoints you don’t manage.
Find insights and information about keeping your data safe.
Find the latest community events, webinars, podcasts and more from Lookout.
Enjoy our Security Soapbox podcast, listen in to learn about the latest threat intel and more.
Explore our many conversations with top industry leaders in cybersecurity.
View our ever growing library of informative videos, use-case explanations and more.
Meet our team and learn from cybersecurity experts in one of our upcoming events.
Stay Ahead of Evolving Threats with AI and ML
At the foundation of the Lookout Cloud Security Platform is our artificial intelligence (AI) and machine learning (ML) technology. Leveraging industry-leading threat telemetry, we ensure that you keep pace with the ever-evolving threat landscape.
Detect and respond with ease
Since the founding of Lookout, AI and ML have been core 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 210 million devices and 280 million apps, and insights from more than 410 million URLs and 17,500 SaaS apps.
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Automated metadata extraction
We gather the metadata behind each application to keep track of its history and background, such as app authors, signatures, and build information.
Capabilities behind the code
Using static analysis, where we reverse engineer the code of each app, we gain insights into its capabilities, what API it has access to, 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.
Safeguard against device and app vulnerabilities
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.
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.
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.
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.
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 400 million URLs analyzed to date, to identify and block phishing attacks from any communications channel.
