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Researchers use the OpenSSF Scorecard to measure the security of the 50 most popular generative AI large language model projects on GitHub.
The list highlights the impact and prevalence of the 10 most critical vulnerabilities found in artificial intelligence applications based on LLMs.
The Cybersecurity and Infrastructure Security Agency updated its Zero Trust Maturity Model to include a new stage that could make it easier for organizations to transition to a zero-trust architecture.
Cloud threat detection and response vendor has applied ChatGPT features to its platform in two distinct ways — earlier detection of malicious activity and explicability of attacks as they progress.
The now-patched vulnerability in the popular MLflow platform could expose AI and machine-learning models stored in the cloud and allow for lateral movement.
In what the chipmaker claims is an industry first, the latest processor line from Intel will incorporate threat detection right into the hardware, bolstering EDR and other cybersecurity platforms.
Cybersecurity experts experiment with autonomous intelligence to secure and defend against increasing cyberthreats posed to critical infrastructure.
Talent shortages and ensuring that AI and machine learning systems are trustworthy are among the biggest concerns explained to the U.S. Congress.
The new framework could have wide-ranging implications for the private and public sectors. NIST is seeking comments on the current draft by April 29, 2022.
VCs are funding AI to solve cybersecurity problems