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The amount of data in the world topped an astounding 59 zetabytes in 2020, much of it pooling in data lakes. We’ve barely scratched the surface of applying artificial intelligence and advanced data analytics to the raw datacollecting in these gargantuan cloud-storage structures erected by Amazon, Microsoft and Google.
The vast majority (84%) of enterprises are now using, or planning to use, digitally transformative technologies – such as bigdata, containers, blockchain and the Internet of Things (IoT). The picture looks rather different, when we look at evolving threats in the context of bigdata. Blockchain.
94% of API exploits are happening against authenticated APIs, according to Salt customer data. Tap the power of cloud-scale bigdata, AI, and ML – your APIs are unique, so attacks have to be unique as well. To fully protect yourself, you’ll need cloud-scale bigdata to identify this reconnaissance behavior.
Vendors’ attention is increasingly fragmented across various data-collecting and transactional platforms. As if things were not difficult enough, datacollection in more states and countries is becoming stricter, with increased consumer protection laws leaving retailers applying tighter data privacy to their digital platforms.
Vendors’ attention is increasingly fragmented across various data-collecting and transactional platforms. As if things were not difficult enough, datacollection in more states and countries is becoming stricter, with increased consumer protection laws leaving retailers applying tighter data privacy to their digital platforms.
PIPEDA and Emerging Technologies As technologies like artificial intelligence (AI), bigdata, and the Internet of Things (IoT) continue to grow, so do privacy concerns. PIPEDA is keeping pace with these innovations, and organizations need to ensure their use of data-driven technologies stays compliant.
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