We utilize Lacework technology to provide unsupervised machine learning, behavioral analytics, and anomaly detection to uncover threats, misconfigurations, known errors, and outliers across AWS, Microsoft Azure, Google Cloud, workloads, containers, and Kubernetes. Our technology automatically learns activities and behaviors that are unique to each customer’s environment, creates a baseline, and surfaces unexpected changes so they can uncover potential issues and threats before they become a major problem.
We offer solutions that focus on strategies and solutions to understand and mitigate the unique vulnerabilities and security risks of Application Programming Interfaces (APIs). We understand API security is a fundamental component of securing today’s app-driven world. Encompassing banks, retail, and transportation, IoT, autonomous vehicles, and smart cities, APIs are a critical part of modern organizational enterprise risk threatscape.
Data Loss Prevention
Our solution classifies regulated confidential and business-critical data. Identifies violations of policies defined within a predefined policy pack or can be manually configured, typically driven by regulatory compliance such as HIPAA, PCI-DSS, or GDPR. Offers the additional capability to control any data that may have been exfiltrated by means not covered by policies. Provides reporting to meet compliance and auditing requirements and identify areas of weakness and anomalies for forensics and incident response.
An assessment of processes and tools is typically part of an enterprise risk assessment focused on your email systems and users. It takes both a subjective and objective look at where your organization thinks it is compared to measured actuality. Our team will assist you with both instituting a program of change and maturity, as well as moving you from a reactive to more of an active/proactive posture while providing the metrics required to report out to leadership and other controlling entities.
In the world of cybersecurity, advanced persistent threats (APTs) and defenders are constantly trying to outmaneuver each other. Providing an ecosystem of solutions that prevent acquisition of data by a threat actor is crucial to proactively tailoring your defenses and preempt future attacks. PREDICTif Cyber provides analysis of Open-Source Intelligence (OSINT) data that is collected, processed, and analyzed to understand a threat actor’s motives, targets, and attack behaviors. The PREDICTif Cyber team can also analyze data from the dark web, deep web and surface web to provide strategic intelligence by understanding the risks posed by threats outside of their organization.
The practice of securing endpoints or entry points of end-user devices such as desktops, laptops, and mobile devices from being exploited by malicious actors and campaigns. Endpoint security systems protect these endpoints on a network or in the cloud from cybersecurity threats.