Lastline® delivers the industry’s most accurate AI-powered network security. Informed by years of threat research and attack investigation, our products provide high fidelity insights into advanced threats entering or operating inside your network.
We use a combination of three complementary techniques to eliminate false positives:
Most AI-based network security products implement only the first two detection techniques. These probabilistic approaches to monitoring network behavior lead to many false positives – after all, not all anomalies are the result of attacks.
Applying AI techniques to network traffic will find anomalous patterns of behavior within the network traffic, because that’s what AI is designed to do. It is virtually impossible for other AI-based tools to understand if the detected anomaly is malicious or benign.
Lastline is different. Our solutions leverage AI that is automatically trained both on network traffic and malicious behaviors. This unique combination enables deterministic detections and eliminates false positives. That’s why we call it “AI Done Right.”
Lastline delivers complete detection of advanced threats by unifying two complementary technologies in a single solution that provides the broadest threat protection possible for your network:
Our AI-powered threat detection generates the highest-fidelity insights into advanced threats attempting to operate in your entire network, both on-premises and cloud. By incorporating our sandbox technology, we also deliver protection from threats attempting to enter your network.
Our patented technology deconstructs every malicious behavior engineered into an object entering via mail or web traffic, such as a file attachment or download. We see:
This visibility enables us to inventory unique file behaviors that other tools fail to detect, such as activity observed when executing programs, opening documents, unpacking archives, and rendering web content.
Our superior visibility makes the analysis much harder to evade. Alternative methods, like OS emulation and virtualization, are fooled by sophisticated evasion techniques. They are easily bypassed and therefore miss many advanced attacks.
Attackers use different paths to compromise and move around your network. It is critical for a network security product to monitor them and deliver complete visibility into the entire attack chain.
Lastline Defender™ provides unmatched visibility into traffic that crosses the network perimeter as well as traffic moving laterally inside the perimeter:
Lastline also detects email threats, such as file-based and fileless malware, malicious URLs, and phishing attempts. Moreover, our products connect threats identified in emails with intrusion activity on the network, such as command & control communication, privilege escalation, and data exfiltration, to provide complete visibility of the entire attack chain.
You can augment your existing email security controls with a complementary layer of protection from Lastline, whether you have on-premises or hosted email system, or a cloud-based system like Microsoft Office 365 or Gmail.
Lastline automates protection by integrating with your third-party products, incident response workflows, and custom applications throughout your organization, whether on-premises or in the cloud.
Your existing security controls can automatically send unknown objects and websites to Lastline for analysis and receive actionable threat intelligence to automate threat response workflows, before you suffer any business disruption.
Lastline has a modular, scalable architecture and offers a rich set of open APIs that facilitate an easy integration of the product into existing systems and workflows. The APIs are complemented by powerful, built-in integrations with products from our Technology Alliance Partner ecosystem, such as SIEMs, gateway and network devices, and endpoint agents.
You have the choice of using the built-in integration offered by our Technology Partners or you can use our robust APIs to optimize your current technologies, staff, and processes.