With the widespread availability of generative AI, new cyber threats are emerging daily. Dark AI tools like FraudGPT and WormGPT have opened advanced adversarial attack methods to a broader audience of less sophisticated actors.
The threat landscape has fundamentally changed.
As a result, traditional cybersecurity measures no longer work. Organizations need something more powerful and advanced to stay ahead of cybercriminals, to anticipate their next move before they make it, and to prevent ransomware, unknown, and zero-day threats from landing in the first place.
Only deep learning has the power to match the speed and agility of this next-gen adversarial AI.
There are less than 10 deep learning frameworks in the world – despite other cybersecurity vendors’ bold, false claims on their promises of AI protection. And there’s only one deep learning model dedicated to cybersecurity: Deep Instinct.
The power of Deep Instinct rests in our ability to understand and identify the DNA of an attack – detecting and stopping it before it can execute on an endpoint. Its ability to self-learn is extraordinary. It is unmatched in its speed and accuracy to autonomously predict, detect, and prevent threats.
We’re fighting dark AI with deep learning.
In contrast, most traditional cybersecurity vendors are attempting to advance their machine learning models to fight back against emerging AI-based threats. But not all AI is created equal. You can’t fight advanced adversarial AI with basic machine learning, the technology most cybersecurity vendors hang their hats on. It’s the most basic form of AI and is unsuitable for the task.
On a recent Mad Money segment, CrowdStike’s CEO George Kurtz told Jim Cramer that using AI to fight sophisticated ransomware attacks is critical to combat the growing threat of dark AI.
To address it, Kurtz pointed to the important need for prevention-first technologies that don’t rely on traditional signatures. And he reminded listeners that CrowdStrike has incorporated AI into its product for years.
But here’s the catch: the AI advancements from IT security vendors like CrowdStrike are more of the same – they’re still fundamentally based on basic machine learning models and are, therefore, incapable of stopping rapidly evolving, AI-powered cyber threats in the wild.
To counter today’s advanced adversarial AI, you need deep learning, the most advanced form of AI. We’re playing chess while other vendors are playing checkers.
To learn more, I’d welcome you to check out the following:
- Read about the power of deep learning, and why it is our core differentiator.
- Listen to Deep Instinct’s CEO, Lane Bess, talking about this firsthand with Steven Rosenbush at the Wall Street Journal CIO Network Summit in this video.
- Download our most recent 2023 Mid-Year Threat Report, which includes predictions about the growing threat of LLMs.
Don’t base your organization’s security posture on false promises, or legacy vendors who are still in “catch up” mode.
Contact us to learn how deep learning-powered predictive prevention can help your organization stay ahead of adversarial AI, during a time when it’s needed most.