AI-Powered Cybersecurity: DataBee BluVector Tackles AI-Powered NDR & OT Challenges
Free the CISO, a podcast series that attempts to free CISOs from their shackles so they can focus on securing their organization, is produced by CIO.com in partnership with DataBee®, from Comcast Technology Solutions.
In each episode, Robin Das, Executive Director at Comcast under the DataBee team, explores the CISO’s role through the position’s relationship with other security stakeholders, from regulators and the Board of Directors to internal personnel and outside vendors.
As cybercriminals weaponize artificial intelligence (AI) to generate malware at unprecedented speed and scale, traditional signature-based defenses are struggling to keep up. The cybersecurity landscape is shifting rapidly, and defenders must evolve just as quickly. At a recent Gartner Summit, Robin Das, DataBee and Tom Field, ISMG discussed AI in cybersecurity trends and what cybersecurity teams are doing to protect their organization. Watch the full video here.
The Rise of AI-Driven Malware
The most significant trend in cybersecurity today is the use of artificial intelligence and machine learning—by both defenders and attackers. Threat actors are leveraging AI and ML to automate malware creation, enabling them to bypass conventional detection methods and overwhelm security systems.
Traditional signature-based malware detection relies on identifying known threats. This process involves detonating malware in a sandbox, analyzing its behavior, and adding it to a threat database. However, this reactive approach is no longer sustainable. The sheer volume and velocity of AI-generated threats render list-based defenses ineffective.
Machine Learning Malware Detection with DataBee BluVector
To level the playing field, organizations need proactive, AI-powered tools. DataBee BluVector is a patented machine learning-based network detection and response (NDR) solution designed to detect and stop threats in real time. By combining traditional signature-based detection with advanced machine learning malware detection, DataBee BluVector identifies and mitigates unknown threats early.
DataBee BluVector’s AI engine analyzes network traffic in real time, flagging suspicious activity and enabling early intervention. This hybrid approach helps ensure that both known and novel threats are addressed, significantly improving threat detection and response capabilities.
Addressing Operational Technology Challenges
One of the most pressing operational technology (OT) challenges is the increasing connectivity of legacy systems. As organizations integrate IoT devices and modernize their infrastructure, older, less secure segments of the network become prime targets for cyberattacks.
While Endpoint Detection and Response (EDR) remains a cornerstone of cybersecurity, it has limitations— particularly in OT and legacy systems where EDR often cannot be deployed. DataBee BluVector helps fill these gaps by providing critical network-level visibility into these vulnerable OT environments.
By monitoring traffic across legacy systems, DataBee BluVector helps organizations detect anomalies and prevent breaches in areas where traditional endpoint detection and response (EDR) tools may not be deployable and helps organizations ensure that no part of the network is left unprotected.
Enhancing Network Visibility with Data Fabric
To make smarter security decisions, organizations must understand not just what is happening on their networks, but also the context behind it. This is where the DataBee security data fabric comes into play.
When integrated with BluVector, data fabric solutions like DataBee provide enriched context around network activity. For example, if Device A is communicating with Device B, security teams can quickly determine who owns each device, what their roles are, and whether the communication is legitimate. This contextual awareness helps organizations enhance compliance, improves incident response, and reduces false positives.
By combining AI-powered NDR, machine learning malware detection, and contextual security data fabric insights, BluVector and DataBee offer a powerful defense against today’s most sophisticated cyber threats.
As cybercriminals weaponize artificial intelligence (AI) to generate malware at unprecedented speed and scale, traditional signature-based defenses are struggling to keep up. The cybersecurity landscape is shifting rapidly, and defenders must evolve just as quickly. At a recent Gartner Summit, Robin Das, DataBee and Tom Field, ISMG discussed AI in cybersecurity trends and what cybersecurity teams are doing to protect their organization. Watch the full video here.
The Rise of AI-Driven Malware
The most significant trend in cybersecurity today is the use of artificial intelligence and machine learning—by both defenders and attackers. Threat actors are leveraging AI and ML to automate malware creation, enabling them to bypass conventional detection methods and overwhelm security systems.
Traditional signature-based malware detection relies on identifying known threats. This process involves detonating malware in a sandbox, analyzing its behavior, and adding it to a threat database. However, this reactive approach is no longer sustainable. The sheer volume and velocity of AI-generated threats render list-based defenses ineffective.
Machine Learning Malware Detection with DataBee BluVector
To level the playing field, organizations need proactive, AI-powered tools. DataBee BluVector is a patented machine learning-based network detection and response (NDR) solution designed to detect and stop threats in real time. By combining traditional signature-based detection with advanced machine learning malware detection, DataBee BluVector identifies and mitigates unknown threats early.
DataBee BluVector’s AI engine analyzes network traffic in real time, flagging suspicious activity and enabling early intervention. This hybrid approach helps ensure that both known and novel threats are addressed, significantly improving threat detection and response capabilities.
Addressing Operational Technology Challenges
One of the most pressing operational technology (OT) challenges is the increasing connectivity of legacy systems. As organizations integrate IoT devices and modernize their infrastructure, older, less secure segments of the network become prime targets for cyberattacks.
While Endpoint Detection and Response (EDR) remains a cornerstone of cybersecurity, it has limitations— particularly in OT and legacy systems where EDR often cannot be deployed. DataBee BluVector helps fill these gaps by providing critical network-level visibility into these vulnerable OT environments.
By monitoring traffic across legacy systems, DataBee BluVector helps organizations detect anomalies and prevent breaches in areas where traditional endpoint detection and response (EDR) tools may not be deployable and helps organizations ensure that no part of the network is left unprotected.
Enhancing Network Visibility with Data Fabric
To make smarter security decisions, organizations must understand not just what is happening on their networks, but also the context behind it. This is where the DataBee security data fabric comes into play.
When integrated with BluVector, data fabric solutions like DataBee provide enriched context around network activity. For example, if Device A is communicating with Device B, security teams can quickly determine who owns each device, what their roles are, and whether the communication is legitimate. This contextual awareness helps organizations enhance compliance, improves incident response, and reduces false positives.
By combining AI-powered NDR, machine learning malware detection, and contextual security data fabric insights, BluVector and DataBee offer a powerful defense against today’s most sophisticated cyber threats.
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