Data is very much the competitive advantage of every commercial organisation. It’s not just an asset; it’s arguably the only truly strategic, irreplaceable asset you have. Everything else? Tactical at best. The data you process about your customers, your know-how – that’s the strategic gold mine we need to protect.

But here’s the challenge: as data becomes more valuable, it also becomes more vulnerable. Bad actors, once content with disrupting operations or encrypting data for ransom, are now setting their sights on outright data theft. Why? Because they’ve realised that threatening to disclose confidential data can be far more damaging to an organisation’s reputation and competitive position – and therefore also far more motivating in terms of an organisation’s response. On top of this, rogue data transfer has never been easier. Modern high bandwidth networks connecting clouds and data centres present convenient highways for bad actors to swiftly download vast volumes of sensitive information.

The AI factor: a new dimension of risk and opportunity

In recent years AI has been thrown into this already complex mix. It’s easy to lose sensitive data in AI models, in many cases through something as trivial as an unfiltered prompt. The challenge? Unlike traditional databases where you can search and remove problematic data, deep learning models essentially dissolve data into billions of floating-point numbers. You can’t just tell a neural network to “forget” something – you’d have to wipe it and start its training from scratch. Then, what happens if a bad actor obtains this data? Believe me, they are trying.

But it’s not all doom and gloom. AI is also revolutionising how we approach data security. At Zscaler, we’re leveraging AI to provide unprecedented insights and protection. With our Zero Trust Exchange™ processing over 500 billion transactions daily, we have access to a vast pool of high-quality data to train our AI models. This allows us to stay ahead of emerging threats and provide more robust protection for our customers.

Come find us at the Gartner Security & Risk Management Summit 2024

On September 24, at the Gartner Security & Risk Management Summit in London (Theatre 1, 1pm), we’ll be hosting a presentation that explores exactly why data security has become such a critical strategic concern and how AI is reshaping both the challenges and solutions in this space.

Using findings from Zscaler’s unique threat research, we will provide you with valuable perspective into the new realities of data security in an AI-powered world, such as:

The data classification conundrum: How to classify data faster than it’s created.
The multiplying channels of data loss: From USB ports to cloud storage and encrypted messaging apps.
AI-powered threats and defences: Understanding how bad actors use AI and how we can leverage it for protection.
Legal and ethical implications: What happens when AI outputs potentially infringe on intellectual property rights?

Additionally, Zscaler CEO and Founder Jay Chaudhry will be taking to the stage on September 23 (Capital Suite 9, 12pm) to talk with a customer about their secure transformation journey.

Don’t miss this opportunity to gain actionable insights from both sessions that can shape your organisation’s data security strategy. To learn more about the Summit and register to attend, click here.

We look forward to seeing you there!  

​[#item_full_content] [[{“value”:”Data is very much the competitive advantage of every commercial organisation. It’s not just an asset; it’s arguably the only truly strategic, irreplaceable asset you have. Everything else? Tactical at best. The data you process about your customers, your know-how – that’s the strategic gold mine we need to protect.

But here’s the challenge: as data becomes more valuable, it also becomes more vulnerable. Bad actors, once content with disrupting operations or encrypting data for ransom, are now setting their sights on outright data theft. Why? Because they’ve realised that threatening to disclose confidential data can be far more damaging to an organisation’s reputation and competitive position – and therefore also far more motivating in terms of an organisation’s response. On top of this, rogue data transfer has never been easier. Modern high bandwidth networks connecting clouds and data centres present convenient highways for bad actors to swiftly download vast volumes of sensitive information.

The AI factor: a new dimension of risk and opportunity

In recent years AI has been thrown into this already complex mix. It’s easy to lose sensitive data in AI models, in many cases through something as trivial as an unfiltered prompt. The challenge? Unlike traditional databases where you can search and remove problematic data, deep learning models essentially dissolve data into billions of floating-point numbers. You can’t just tell a neural network to “forget” something – you’d have to wipe it and start its training from scratch. Then, what happens if a bad actor obtains this data? Believe me, they are trying.

But it’s not all doom and gloom. AI is also revolutionising how we approach data security. At Zscaler, we’re leveraging AI to provide unprecedented insights and protection. With our Zero Trust Exchange™ processing over 500 billion transactions daily, we have access to a vast pool of high-quality data to train our AI models. This allows us to stay ahead of emerging threats and provide more robust protection for our customers.

Come find us at the Gartner Security & Risk Management Summit 2024

On September 24, at the Gartner Security & Risk Management Summit in London (Theatre 1, 1pm), we’ll be hosting a presentation that explores exactly why data security has become such a critical strategic concern and how AI is reshaping both the challenges and solutions in this space.

Using findings from Zscaler’s unique threat research, we will provide you with valuable perspective into the new realities of data security in an AI-powered world, such as:

The data classification conundrum: How to classify data faster than it’s created.
The multiplying channels of data loss: From USB ports to cloud storage and encrypted messaging apps.
AI-powered threats and defences: Understanding how bad actors use AI and how we can leverage it for protection.
Legal and ethical implications: What happens when AI outputs potentially infringe on intellectual property rights?

Additionally, Zscaler CEO and Founder Jay Chaudhry will be taking to the stage on September 23 (Capital Suite 9, 12pm) to talk with a customer about their secure transformation journey.

Don’t miss this opportunity to gain actionable insights from both sessions that can shape your organisation’s data security strategy. To learn more about the Summit and register to attend, click here.

We look forward to seeing you there!”}]]