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Modernizing Cyber Operations with Artificial Intelligence

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With this ebook, Booz Allen's Peter Guerra and Paul Tamburello provide examples that demonstrate how integrating AI can make your cybersecurity operations more effective and efficient in risk analysis, threat monitoring, and detection. AI-automated cybersecurity processes will enable you to more swiftly and accurately identify new and emerging threats in this continually changing landscape. This ebook demonstrates a powerful tool for leveling the playing field.


Organisations see higher success in detecting and blocking cyber attacks-Accenture

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Ransomware and distributed denial of service (DDoS) attacks have been on the rise, with 232 attacks through January 2018 compared with 106 through January 2017, said the professional services firm's 2018 State of Cyber Resilience study, which investigated focused attacks defined as having the potential to both penetrate network defences and cause damage, or extract high-value assets and processes from within organisations. Some 4,600 enterprise security practitioners representing companies with annual revenues of $1 billion or more in 15 countries were surveyed across the Americas, Europe and Asia-Pacific. Despite the increased pressure of the attacks, organisations are upping their game and preventing 87% of these focused attacks, compared to 70% a year ago. However, with 13% of focused attacks still penetrating defences, organisations are still facing an average of 30 successful security breaches per year. In addition, only two out of five organisations are currently investing in technologies like machine learning, AI and automation, indicating there is even more progress to be made by increasing investment in cyber resilient innovations and solutions.


Smartphones will get smarter – but so will cyber attacks – Deloitte's tech team tells West businesses

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West firms have been given a unique glimpse of the top tech themes for this year – and the impact they are likely to have on business – at a special event staged by accountancy firm Deloitte. Ever-greater use of smartphones, digital navigation, machine learning and – on the downside – the growth in cyber crime were outlined by Deloitte's technology, media and telecommunications (TMT) practice. The firm's head of TMT Paul Lee led the briefing staged at the Engine Shed, Bristol, and discussed key trends for this year as highlighted in the 16th edition of the firm's widely-respected TMT Predictions 2017 launched in January. He said the predictions particularly resonated with the West of England's digital tech ecosystem as it continued to be among the UK's most innovative and fastest-growing. Deloitte's key technology predictions for 2017 are: Deloitte predicts that one in 20 uses of digital navigation in 2017 will be indoors.