UK and allies expose Russian intelligence campaign targeting western logistics and technology organisations

CISA, the National Security Agency, the Federal Bureau of Investigation, and international partners released a joint Cybersecurity Information Sheet on AI Data Security: Best Practices for Securing Data Used to Train & Operate AI Systems.
This information sheet highlights the critical role of data security in ensuring the accuracy, integrity, and trustworthiness of AI outcomes. It outlines key risks that may arise from data security and integrity issues across all phases of the AI lifecycle, from development and testing to deployment and operation.
Defense Industrial Bases, National Security Systems owners, federal agencies, and Critical Infrastructure owners and operators are encouraged to review this information sheet and implement the recommended best practices and mitigation strategies to protect sensitive, proprietary, and mission critical data in AI-enabled and machine learning systems. These include adopting robust data protection measures; proactively managing risks; and strengthening monitoring, threat detection, and network defense capabilities.
As AI systems become more integrated into essential operations, organizations must remain vigilant and take deliberate steps to secure the data that powers them.
CISA—in partnership with the National Security Agency (NSA), Federal Bureau of Investigation (FBI), Australian Signals Directorate’s Australian Cyber Security Centre (ASD’s ACSC), Canadian Centre for Cyber Security (CCCS), and New Zealand’s National Cyber Security Centre (NCSC-NZ)—released joint Cybersecurity Advisory Fast Flux: A National Security Threat (PDF, 841 KB). This advisory warns organizations, internet service providers (ISPs), and cybersecurity service providers of the ongoing threat of fast flux enabled malicious activities and provides guidance on detection and mitigations to safeguard critical infrastructure and national security.
“Fast flux” is a technique used to obfuscate the locations of malicious servers through rapidly changing Domain Name System (DNS) records associated with a single domain name. This threat exploits a gap commonly found in network defenses, making the tracking and blocking of malicious fast flux activities difficult.
The authoring agencies strongly recommend adopting a multi-layered approach to detection and mitigation to reduce risk of compromise by fast flux-enabled threats. Service providers, especially Protective DNS providers (PDNS), should track, share information about, and block fast flux as part of their provided cybersecurity services. Government and critical infrastructure organizations should close this ongoing gap in network defenses by using cybersecurity and PDNS services that block malicious fast flux activity.