What's So Revolutionary About the Cognitive Revolution?

Most traditional security tools, including highly advanced ones, still focus mainly on structured and semi-structured machine data, such as system logs and data flow. This information is of critical importance to security analysts, but it cannot paint a complete picture of the threat landscape.

Cognitive computing, as IBM Watson Chief Security Architect Jeb Linton explains here, is intended to augment — not replace — traditional systems. With its unique ability to make sense of natural human language and other types of unstructured data, cognitive tools like Watson for Cyber Security are set to revolutionize the security industry.

Security Intelligence Staff

NIST’s role in the global tech race against AI

4 min read - Last year, the United States Secretary of Commerce announced that the National Institute of Standards and Technology (NIST) has been put in charge of launching a new public working group on artificial intelligence (AI) that will build on the success of the NIST AI Risk Management Framework to address this rapidly advancing technology.However, recent budget cuts at NIST, along with a lack of strategy implementation, have called into question the agency’s ability to lead this critical effort. Ultimately, the success…

Researchers develop malicious AI ‘worm’ targeting generative AI systems

2 min read - Researchers have created a new, never-seen-before kind of malware they call the "Morris II" worm, which uses popular AI services to spread itself, infect new systems and steal data. The name references the original Morris computer worm that wreaked havoc on the internet in 1988.The worm demonstrates the potential dangers of AI security threats and creates a new urgency around securing AI models.New worm utilizes adversarial self-replicating promptThe researchers from Cornell Tech, the Israel Institute of Technology and Intuit, used what’s…

What should an AI ethics governance framework look like?

4 min read - While the race to achieve generative AI intensifies, the ethical debate surrounding the technology also continues to heat up. And the stakes keep getting higher.As per Gartner, “Organizations are responsible for ensuring that AI projects they develop, deploy or use do not have negative ethical consequences.” Meanwhile, 79% of executives say AI ethics is important to their enterprise-wide AI approach, but less than 25% have operationalized ethics governance principles.AI is also high on the list of United States government concerns.…

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NIST’s role in the global tech race against AI

Researchers develop malicious AI ‘worm’ targeting generative AI systems

What should an AI ethics governance framework look like?

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