Cyber Crucible is the first and only autonomous, kernel-level security solution designed to detect and neutralize threats in real time, specifically targeting data-focused attacks. Using novel kernel data sources, deception technology and advanced analytics powered by an AI-driven behavioral engine, Cyber Crucible provides unparalleled defense against emerging threats.
Our patented edge computing analytics engine and unique telemetry sources enable Cyber Crucible to counter zero-day attacks instantly. With laser-focused accuracy and speed, this fully autonomous tool eliminates human latency and errors, detecting, determining and neutralizing threats in under 200 milliseconds.
Modern cyberattacks employ a variety of techniques that are always evolving. Unfortunately, despite the use of high-profile cybersecurity solutions, by the time the tool detects activity, theft and/or encryption of data has already started. To break through defenses, cyberattackers may:
- Hide malware in trusted programs users unknowingly allow to run thinking it’s safe
- Steal identities in the form of session tokens or cookies, quickly gaining access to an enterprise and running their cyberattack
- Use Robotic Process Automation , a version of AI, to auto-navigate through your network, conducting the attack far too quickly for any type of remediation tools or services.
Ransomware cripples victims’ operations by holding data hostage until a payment is made. Data control is returned to the victim after ransom payment; however, it will take months to return to pre-attack business performance.
Most cybersecurity tools and services require an attack to begin before an alert can be generated. Alerts typically come too late to prevent damage, especially given the need for cloud and human verification.
Cybersecurity vendors sometimes combine their Endpoint Detection and Response (EDR) tools with Network Detection and Response (NDR) to create an Extended Detection and Response (XDR) solution. Regardless of setup, these solutions’ limited ability to prevent attacks require a blended managed detection response (MDR) services offering along with their primary software offering, in an to attempt to ease the pain of recovering from successful attacks.
In most cases, security analysts are combing through multiple customers’ event logs, looking for common patterns among the customers with a cyberattack in progress. Once enough attacks with the same patterns appear, analysts task the security tools to begin blocking that attack.Cybercriminals now use Robotic Process Automation to automatically create different patterns for every attack. Because of this, analysts can’t find strong patterns between cyberattacks. Now, all they have is a list of victims.
Cyber Crucible does not consist of collecting telemetry among victims for possible correlation and distribution of signatures from previous attacks. While MDR and telemetry gathering is essential from a threat intelligence standpoint, and a variety of other use case perspectives, prevention requires "just-in-time" analysis that is able to resiliently assess previously unknown attacks and respond in milliseconds.
"[They] won't tell you about that employee that gave their password to a phishing site last week, but you'll get the play-by-play of where the hacker came in, what they did while using which user accounts, and when they stopped them [the threat actor]."