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We live in an age where data flows like water, becoming the new life source of our everyday ventures. As such, you can just imagine what all of that entails and the weight that data receive, especially when it comes to a decision making on how to handle this fairly new and arguably invaluable resource. Of course, we are well aware from a very young age that our water needs to be pure, filtered and possibly protected, so this pops the question and makes us wonder: How exactly does all of this translate for our data, its handling processes and ultimately our Security? It is no secret that our personal information is as valuable if not more than actual currency. Imagining your social security number, medical bills or paycheck amounts flowing through vast amounts of seemingly random servers all across the globe can be unnerving. It brings out the same questions that we would have for anything else of value: Where is it going? Who can see it? Why are they holding it? ... Is

In 1999, Bruce Schneier wrote, "Complexity is the worst enemy of security." That was 19 years ago (!) and since then, cyber security has only become more complex. Today, controls dramatically outnumber staff available to support them. The Bank of America has a $400-million cyber budget to hire security staff and implement a broad array of products. But what if your budget and sophistication is just a tiny fraction of the Bank of America's? The remaining 99% of organizations understand that they don't have sufficient protection for their internal network, but they also realize that to be sufficiently secured they need to buy multiple solutions and hire a large team to maintain it – which isn't an option. So they either stay with just an AV or buy a point solution to defend a specific part of their internal environment from particular types of attacks – only to later find out it doesn't meet what they really need. Cynet wants to change all that.

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo