Schedule A Demo

Machine Learning

Unveiling The Applications and Distinctions of Machine Learning and Artificial Intelligence in Cybersecurity

AI, artificial intelligence, Blog, Machine Learning, Self-Supervised AI, Third-Wave AI, Uncategorized / By

The terms “machine learning” and “artificial intelligence” are frequently used in cybersecurity, often interchangeably, leading to confusion about their precise meanings and applications. Both machine learning and artificial intelligence play pivotal roles in fortifying cybersecurity defenses, yet they encompass distinct methodologies and applications. What are the disparities between them? And how do these technologies converge to bolster cyber resilience?

Unveiling The Applications and Distinctions of Machine Learning and Artificial Intelligence in Cybersecurity Read More →

The Role of Artificial Intelligence and Machine Learning in Ransomware Protection: How enterprises Can Leverage the Latest Technologies to Protect Themselves

Adversarial AI, AI, artificial intelligence, Blog, Machine Learning, Ransomware / By

Discover the role of Artificial Intelligence and Machine Learning in protecting against ransomware attacks. Learn how these technologies can be used to detect and prevent attacks, and how they can be leveraged by enterprises to improve their cybersecurity posture. Stay up-to-date on the latest developments in AI and ML to protect your organization from malware and ransomware.

The Role of Artificial Intelligence and Machine Learning in Ransomware Protection: How enterprises Can Leverage the Latest Technologies to Protect Themselves Read More →

Deep Dive: How much time do security teams spend labeling with Supervised Learning?

Blog, Self-Supervised AI, Unsupervised AI / By

Many CISOs and SecOps teams were faced with a gut-wrenching choice: addressing the operational challenges of keeping workers connected, or shoring up vulnerabilities before hackers exploited them. Both options involved time-consuming, repetitive, manual work.

Deep Dive: How much time do security teams spend labeling with Supervised Learning? Read More →

Why Training Matters – And How Adversarial AI Takes Advantage of It

Adversarial AI, Blog, Self-Supervised AI, Whitepaper / By

The following is an excerpt from our recently published whitepaper, “Self-Supervised Learning – AI for Complex Network Security.” The author, Dr. Peter Stephenson, is a cybersecurity and digital forensics expert having practiced in the security, forensics and digital investigation fields for over 55 years.  Section 4 – Why Training Matters – And How The Adversary

Why Training Matters – And How Adversarial AI Takes Advantage of It Read More →

Not All Artificial intelligence is created Equal

Blog, Context-Aware AI, Unsupervised AI / By

Throughout the tech community, “artificial intelligence” has become a blanket term often used to describe any computing process that requires little human input. Tasks like routine database functions, scheduled system scans, and software that adds automation to repetitive actions are regularly referred to as AI.  In truth, AI can play a part in these processes,

Not All Artificial intelligence is created Equal Read More →

A Well-Equipped Security Team Could Save You Millions of Dollars a Year

Blog, Data Breach, Network Detection and Response, Network Security, Regulations & Compliance, Threat Detection, Unsupervised AI / By

Data breaches are expensive. By now, most organizations are well aware of this fact. When it comes to resource planning, however, SecOps teams need concrete data to ensure adequate funding is available to handle a breach.

A Well-Equipped Security Team Could Save You Millions of Dollars a Year Read More →

Generative Unsupervised Learning vs. Discriminative Clustering Technology: Which Prevents Zero-Day Attacks?

Blog, Network Detection and Response, Threat Detection, Unsupervised AI, Zero Day Attacks / By

Knowing the difference between Discriminative and Generative Unsupervised Learning can tell you a lot about the effectiveness of a cybersecurity solution’s artificial intelligence, for example, whether or not that security solution can perform actions like identifying and stopping a zero-day attack.

Generative Unsupervised Learning vs. Discriminative Clustering Technology: Which Prevents Zero-Day Attacks? Read More →

The Difference Between Artificial Intelligence and Machine Learning in Network Security

Blog, Unsupervised AI / By

Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably when discussing developments in deep learning. However, there is an important difference between the two that network security professionals will need to understand in order to serve their clientele effectively.

The Difference Between Artificial Intelligence and Machine Learning in Network Security Read More →

What is Network Detection and Response (NDR)? A beginner’s Guide

Blog, Network Detection and Response / By

Recently, network detection and response, or NDR, has been established as a key tool for companies seeking to improve their threat response. It’s a relatively new network security strategy which developed in response to perceived shortcomings in existing network security systems. We wanted to help explain what modern network detection and response is, how it

What is Network Detection and Response (NDR)? A beginner’s Guide Read More →