CyberBattleSim - An Experimentation And Research Platform To Investigate The Interaction Of Automated Agents In An Abstract Simulated Network Environments

CyberBattleSim is an experimentation research platform to investigate the interaction of automated agents operating in a simulated abstract enterprise network environment. The simulation provides a high-level abstraction of computer networks and cyber security concepts. Its Python-based Open AI G...

Gamifying machine learning for stronger security and AI models

To stay ahead of adversaries, who show no restraint in adopting tools and techniques that can help them attain their goals, Microsoft continues to harness AI and machine learning to solve security challenges. One area we’ve been experimenting on is autonomous systems. In a simulated enterprise...

Gamifying machine learning for stronger security and AI models

To stay ahead of adversaries, who show no restraint in adopting tools and techniques that can help them attain their goals, Microsoft continues to harness AI and machine learning to solve security challenges. One area we’ve been experimenting on is autonomous systems. In a simulated enterprise...

Pesidious - Malware Mutation Using Reinforcement Learning And Generative Adversarial Networks

Malware Mutation using Deep Reinforcement Learning and GANs The purpose of the tool is to use artificial intelligence to mutate a malware PE32 only sample to bypass AI powered classifiers while keeping its functionality intact. In the past, notable work has been done in this domain with researche...

Manipulating Machine Learning Systems by Manipulating Training Data

Interesting research: "TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents": Abstract:: Recent work has identified that classification models implemented as neural networks are vulnerable to data-poisoning and Trojan attacks at training time. In this work, we show that these training-ti...

Automatic Machine Learning Penetration Test Tool: Deep Exploit

DeepExploit is fully automated penetration tool linked with Metasploit. It identifies the status of all opened ports on the target server and executes the exploit at pinpoint using Machine Learning. DeepExploit consists of the machine learning model A3C and Metasploit . The A3C executes exploit t...

Application Security Testing — The Wallarm Approach

Testing the security of the corporate applications is a part of every-day life for Ops and DevOps professionals. Larger companies have whole teams dedicated to independent security testing, called Red Teams. These folks use various tools at their disposal to discover the flaws in both application...

It’s Not Magic — It’s AI

New Whitepaper On How Wallarm AI Works “Any sufficiently advanced technology is indistinguishable from magic,” Arthur C. Clarke Ever wanted to look under the covers of deep learning/artificial intelligence engine? While deep learning algorithms are generally based on neurons combined into a neura...

Wallarm Joins NVIDIA AI Virtual Accelerator

We are thrilled to announce that Wallarm has joined the NVIDIA Inception program, which is designed to nurture startups revolutionizing industries with advancements in AI and data sciences. NVIDIA’s Inception program is a virtual accelerator that helps startups during critical stages of product...

The First Step-by-Step Guide for Implementing Neural Architecture Search with Reinforcement…

The First Step-by-Step Guide for Implementing Neural Architecture Search with Reinforcement Learning Using TensorFlow Our team is no stranger to various flavors of AI including deep learning DL. That’s why we’ve immediately noticed when Google came out with AutoML project, designed to make AI bui...