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What is SpaceCREST?

Leverage SpaceCREST’s digital twin technology to quickly identify and evaluate vulnerabilities, improve cyber resilience, and protect your physical assets from threats that could compromise their operation. The partnership between SpaceCREST and Redwire has resulted in the development of innovative tools and technologies aimed at streamlining vulnerability research on hardware components, which helps in uncovering potential flaws that might impact system integrity. Moreover, these resources provide effective methods and strategies for addressing and safeguarding against the identified vulnerabilities. BigBear.ai can effectively integrate your devices into a comprehensive evaluation and security testing framework, facilitating a thorough vulnerability assessment and identification of cybersecurity needs. In addition, SpaceCREST’s digital twin offers operators vital tools for conducting vulnerability research, enabling rapid detection of attacks or system failures. This platform guarantees continuous monitoring and situational awareness of assets, empowering users to utilize digital twins for swift reactions to early warning signals. By adopting these advanced technologies, organizations can significantly bolster their security measures and ensure robust protection against emerging threats, fostering a proactive approach to cybersecurity management. Ultimately, this collaborative effort not only enhances resilience but also contributes to a safer operational environment.

What is IBM Security Randori Recon?

Achieve a profound comprehension of your security weaknesses through our groundbreaking strategy. Through our black-box technique, IBM Security Randori Recon provides an extensive visualization of your attack surface, pinpointing vulnerable assets across both on-premises and cloud environments, in addition to identifying shadow IT and improperly configured systems that are at risk of exploitation but might escape your attention. In contrast to traditional ASM solutions that rely exclusively on IPv4 range scans, our innovative center of mass approach enables us to detect both IPv6 and cloud assets that are frequently missed by others. IBM Security Randori Recon guarantees rapid targeting of your most significant vulnerabilities by automatically prioritizing the software most likely to be exploited by attackers. Crafted by experts who adopt an attacker’s viewpoint, Randori Recon offers a real-time inventory of all instances of vulnerable and exploitable software. This tool goes beyond typical vulnerability assessments by analyzing each target in its specific context to produce a customized priority score. Furthermore, to further enhance your defenses, it is vital to engage in hands-on exercises that mimic actual attack scenarios, thereby bolstering your team's preparedness and response skills. Such proactive measures not only strengthen your security posture but also equip your team with the necessary experience to counteract real threats effectively.

Media

Media

Integrations Supported

Integrations Supported

Axonius
BitSight
IBM QRadar SIEM
LogicHub
Panaseer
Qualys TruRisk Platform
Rapid7 Incident Command
ServiceNow
Splunk Enterprise
Splunk SOAR
Tenable One

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

BigBear.ai

Company Location

United States

Company Website

bigbear.ai/solutions/spacecrest/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/randori-recon

Categories and Features

Cyber Resilience

Not specified

Cyber Risk Management

Not specified

Cybersecurity

Not specified

Digital Twin

Not specified

Categories and Features

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