Partner POV | Leveraging Deep Learning for Zero-Day Data Security in Cloud Storage
This article was written and contributed by our partner, Deep Instinct.
I have dedicated my career to safeguarding organizations' most critical data assets. Throughout this journey, I've observed a recurring challenge: many organizations underestimate the risks of cloud storage, assuming their cloud providers secure their data in the cloud. The reality is that cloud providers protect their infrastructure, not customers' data. They also don't protect against misconfigurations, insufficient access controls, or overlooked permissions that leave sensitive data vulnerable. These gaps present significant risks from external attackers or insider threats, underscoring the need for a proactive, shared-responsibility approach to cloud security.
Cloud storage is a vital data management tool and a significant target for cybercriminals, positioned in the middle of a quickly escalating technological battle. As the data storage market evolves and rapidly expands, organizations face increasing challenges from exponential data growth and a deluge of zero-day attacks generated using Dark AI. And the native security capabilities of cloud storage providers aren't enough to stop these sophisticated threats.
The Issue with Legacy Cybersecurity Tools
Amazon S3, the world's largest cloud storage provider, dominates the enterprise data storage market. With this massive scale comes critical vulnerabilities for organizations, especially when using legacy cybersecurity tools that can't keep pace. These tools foster a false sense of confidence and leave blind spots. For example, attacks like malware time-bombs are designed to evade detection by traditional signature-reliant tools. They can sit undetected in storage until triggered, catching most security tools off guard. Simultaneously, a flood of AI-generated attacks is exposing any gap in the perimeter, and legacy tools aren't advanced enough to stop them. The pressure is mounting. The danger is growing.
Fortunately, there is a path forward.
Solving a Massive Problem: Our Work with Amazon S3
Introducing Deep Instinct's Data Security X (DSX) for Cloud – Amazon S3, a purpose-built solution providing Zero-Day Data Security (ZDDS) to defend Amazon S3 cloud storage environments against threats and preemptively neutralize malware.
After a quick and easy deployment, DSX for Cloud – Amazon S3 scans files at rest or in motion before they can execute. An industry-best scan speed of <20ms per file allows for scanning, categorization, quarantine of malicious files, and immediate alerts to security teams. And by reducing security events and minimizing infrastructure costs, DSX for Cloud contributes to a lower total cost of ownership (TCO). Best of all, it's certified by AWS and works natively with Amazon S3.
Importantly, these scan speeds leverage our deep learning framework, which features >99% efficacy against known and unknown threats and a <0.1% false positive rate. Instead of just comparing files to a checklist of known threats, DSX for Cloud examines every file and determines if it's malicious, even if the code has never been seen before, by any service. With lightning-fast speeds, it can quickly scan your full S3 storage environment – something legacy tools can't do – and scale with your storage needs. Put another way, DSX for Cloud effectively stops threats that other tools can't find.
Fighting AI with the Best AI: Available Now
In the fight against zero-day threats and unknown malware, DSX for Cloud – Amazon S3 is the only solution on the market capable of preventing Dark AI-generated malware, regardless of the novelty or volume of attacks. The ability to prevent attacks is a necessity in high data volume environments. Deep Instinct levels the playing field, enabling you to fight AI with better AI.
DSX for Cloud – Amazon S3 is now available in the AWS Marketplace, enabling buyers to integrate the payment process with their existing AWS billing system and streamline their procurement experience.