Smokescreen vs. Robust Intelligence

Smokescreen focuses on advanced deception technology and active defense solutions, providing a network shield composed of decoys intended to trap cyber intruders. By participating in a demonstration of our flagship product, IllusionBLACK, you will learn about the tactics employed by adversaries while observing how strategically distributed decoys within your network facilitate accurate threat detection at every level. The system is designed for ease of use and is adaptable to various environments, including perimeter defenses, cloud infrastructures, internal networks, endpoints, and Active Directory setups. You can quickly launch your first deception campaign with ready-to-use decoys, enabling you to focus on identifying threats without the hassle of a lengthy setup process. Every interaction with an IllusionBLACK decoy acts as a trustworthy indicator of a possible security breach, ensuring that the alerts you receive are meaningful. Additionally, our platform streamlines automated forensic investigations and root-cause analyses, allowing you to deliver results swiftly with a more efficient team. With seamless integrations supported for SIEMs, firewalls, endpoint detection and response systems, proxies, threat intelligence feeds, SOAR, and many other tools, you can effectively bolster your cybersecurity framework. This holistic approach not only simplifies your defense mechanisms but also equips your organization to adeptly tackle new and evolving threats as they arise. Ultimately, Smokescreen’s solutions empower your security team to stay one step ahead of potential cyber risks.

The Robust Intelligence Platform is expertly crafted to seamlessly fit into your machine learning workflow, effectively reducing the chances of model breakdowns. It detects weaknesses in your model, prevents false data from entering your AI framework, and identifies statistical anomalies such as data drift. A key feature of our testing strategy is a comprehensive assessment that evaluates your model's durability against certain production failures. Through Stress Testing, hundreds of evaluations are conducted to determine how prepared the model is for deployment in real-world applications. The findings from these evaluations facilitate the automatic setup of a customized AI Firewall, which protects the model from specific failure threats it might encounter. Moreover, Continuous Testing operates concurrently in the production environment to carry out these assessments, providing automated root cause analysis that focuses on the underlying reasons for any failures detected. By leveraging all three elements of the Robust Intelligence Platform cohesively, you can uphold the quality of your machine learning operations, guaranteeing not only peak performance but also reliability. This comprehensive strategy boosts model strength and encourages a proactive approach to addressing potential challenges before they become serious problems, ensuring a smoother operational experience.