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As AI technology advances, cyber defenders are spending more on the technology to defend against malicious actors who currently hold an asymmetric advantage in deploying new AI-generated threats.
Almost two-thirds of companies deploying/considering generative AI bans view the steps as long term or permanent.
Generative AI use cases vary significantly across a business, as do the security risks they introduce.
Researchers use the OpenSSF Scorecard to measure the security of the 50 most popular generative AI large language model projects on GitHub.
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.