Scenarios for the Future of Cybercrime - White Paper for Decision Makers

January 28, 2020

Project 2020 is an initiative of the International Cyber Security Protection Alliance (ICSPA). Its aim is to anticipate the future of cybercrime, enabling governments, businesses and citizens to prepare themselves for the challenges and opportunities of the coming decade. It comprises a range of activities, including common threat reporting, scenario exercises, policy guidance and capacity building.

Spotlight

Niara, Inc.

Niara’s behavioral analytics platform automates the detection of attacks that have bypassed an organization’s perimeter defenses and dramatically reduces the time and skill needed to investigate and respond to security events. The solution applies machine learning algorithms to data from the network and security infrastructure to detect compromised users, entities, and malicious insiders, reduce the time for incident investigation and response, and speed threat hunting efforts by focusing security teams on the threats that matter. Headquartered in Sunnyvale, Calif., the company is backed by NEA, Index Ventures, and Venrock.

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2022 Cybersecurity Predictions

whitePaper | June 27, 2022

At the end of every year, our experts put their heads together to anticipate and prepare for what’s to come next in the world of cybersecurity. We retrospect on the months past, and analyze impactful developments, breaches, and tactics. We package the outputs of this process for IT leaders, so they, too, can anticipate and prepare.

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The philosophy of Zero Trust security—“never trust; always verify”—has certainly struck a chord. It took decades for organizations to move past the basic castle andmoat security mindset, and to accept that in a cloud world, there is no perimeter to defend, and intruders are always on our networks.

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Spotlight

Niara, Inc.

Niara’s behavioral analytics platform automates the detection of attacks that have bypassed an organization’s perimeter defenses and dramatically reduces the time and skill needed to investigate and respond to security events. The solution applies machine learning algorithms to data from the network and security infrastructure to detect compromised users, entities, and malicious insiders, reduce the time for incident investigation and response, and speed threat hunting efforts by focusing security teams on the threats that matter. Headquartered in Sunnyvale, Calif., the company is backed by NEA, Index Ventures, and Venrock.

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