The U.S. Department of Commerce this week announced the establishment of an artificial intelligence advisory committee set to counsel President Joe Biden and other federal agencies on issues ranging from privacy concerns to data security, along with global competition and inherent biases.
As the lines blur between identity and privilege, there is a growing set of solutions to secure the anytime, anywhere workforce. Archit Lohokare, CyberArk’s vice president of product management, discusses passwordless authentication, zero trust and other ways enterprises are modernizing identity and access.
Nat Smith, senior director security analyst at Gartner, describes what factors potential buyers should consider when vendors pitch artificial intelligence-enabled security solutions.
Artificial intelligence and machine learning can enhance data security by picking up threats in the network earlier, says John Lee, a managing director at the Global Resilience Federation.
Sprawling data and a growing number of users needing access to sensitive information continues to challenge today’s enterprises. Addressing these issues without complicating your environment is key to an effective information protection program.
Getting the most from DLP requires a solution that goes above and...
Citing a need to secure artificial intelligence technologies, NIST is working to create risk management guidance around the use of AI and machine learning, the agency has announced. NIST is seeking feedback to address governance challenges.
Some 95% of today’s compromises are either zero-day exploits or malware-free attacks; that means that signature-based behavioral defenses only work for 5% of attacks, says Joe Head of Intrusion Inc. He discusses how to use massive lists of historical data to train AI to spot and stop malicious activity.
The global ‘State of Security 2021’ report recently published by Splunk and ESG Research presents insights and best practices from interviews with some of today’s most successful security leaders. This panel of experts will take a look at key report findings, and discuss the theory and practicality of best...
Disrupt the Network Security Status Quo
Nonstop malware variants delivered by attackers using automation...
Increasing complexity introduced by public and hybrid cloud adoption...
New cybersecurity risks due to the explosion of IoT devices...
With so many fundamental changes and challenges in today’s IT...
Strict security requirements are indispensable for machine learning workloads. In a typical machine learning project, it can take months to build a secure workflow before you can begin any work on your models. What is the best way to deliver fast results so your larger machine learning initiatives are not hampered.
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How cybersecurity and data protection in finance must evolve to meet a new threat landscape
A pandemic year in the wilderness opened up new vulnerabilities in finance, as institutions wrestled with the rush to remote work and new cloud applications. The post-pandemic era has provided little respite, as cybercriminals...
Discover how modern organizations are accelerating machine learning projects with the security features of Amazon SageMaker to achieve business impact faster.
Read the e-book to learn more about how to:
Meet the strict security requirements of machine learning workloads
Secure datasets through every step of...
Thanks to cloud-native technologies and versatile microservices, organizations are innovating and performing at warp speed — and their stakeholders expect no less. But to stay at the top, achieving observability into increasingly complex systems is more important than ever.
Read the 12 Immutable Rules for...
How to build a network automation initiative that improves compliance and reduces risk.
Network automation initiatives can help improve compliance, but how do you make sure the automation reduces—rather than increases—your organization's risks? This whitepaper examines how enterprises can build a network...
Cyber-criminals are turning to artificial intelligence (AI) to scale up their attacks and evade detection — and over 97% of industry professionals are concerned.
This report explores key findings from a recent survey conducted by MIT Technology Review, assessing critical developments in the cyber-threat landscape,...
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