For years, Microsoft has tracked threat actors exploiting federal cyber supply ... from third-party supply chain partners. Microsoft continues to use the Security Development Lifecycle, a fundamental ...

Another innovative solution to supply chain security challenges is the use of blockchain for transparency ... He specializes in leveraging AI, machine learning (ML), and natural language ...

At an upcoming Black Hat Asia presentation this April entitled "Confused Learning: Supply Chain Attacks through Machine ... using models with typosquatted names. Another example is a model ...

Cyber Threat Intelligence (CTI) provides an intelligence analysis to discover unknown to known threats using various ... to improve cyber supply chain security. We have applied Cyber Threat ...

The advent of the digital era has seen a progressive escalation of cyber threats targeting supply chain ... using artificial intelligence (AI)/machine learning (ML), so ensuring the frameworks are ...

Cybercriminals may exploit the authorized use of the ... robust encryption, cyber-criminals will encounter difficulties creating a backdoor for data exfiltration during a supply chain attack. Do You ...

Many are deploying dedicated supply chain security teams. A key priority is enabling a more holistic view of the threat landscape—across physical, digital and human attack vectors to more effectively ...

The rapid evolution within the supply chain management industry will put the spotlight on cyber ... model will have to balance production requirements with predictive analytics to schedule machine ...

The issue of supply chain security is particularly relevant to the space ... In these scenarios, spacecrafts must be equipped to deal with cyber-incidents themselves, and machine learning (ML) ...