The Steganographic Potentials of Language Models

The potential for large language models LLMs to hide messages within plain text steganography poses a challenge to detection and thwarting of unaligned AI agents, and undermines faithfulness of LLMs reasoning. We explore the steganographic capabilities of LLMs fine-tuned via reinforcement learnin...

Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning

This paper presents a holistic approach to attacker preference modeling from system-level audit logs using inverse reinforcement learning IRL. Adversary modeling is an important capability in cybersecurity that lets defenders characterize behaviors of potential attackers, which enables attributio...

Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: a Systematic Review

The Internet of Things IoT has significantly expanded the digital landscape, interconnecting an unprecedented array of devices, from home appliances to industrial equipment. This growth enhances functionality, e.g., automation, remote monitoring, and control, and introduces substantial security...

Evaluating the Effectiveness of Reward Modeling of Generative AI Systems

New research evaluating the effectiveness of reward modeling during Reinforcement Learning from Human Feedback RLHF: "SEAL: Systematic Error Analysis for Value ALignment." The paper introduces quantitative metrics for evaluating the effectiveness of modeling and aligning human values: Abstract:...

Poisoning AI Models

New research into poisoning AI models: The researchers first trained the AI models using supervised learning and then used additional "safety training" methods, including more supervised learning, reinforcement learning, and adversarial training. After this, they checked if the AI still had hidde...

What is a Cloud Workload Protection Platform ? (CWPP)

Diving into the Depths of Cloud Workload Defense Framework CWDF Mysteries Setting out to understand cloud security, one frequently encounters the term - Cloud Workload Defense Framework CWDF. What exact role does CWDF play? Let's decode this riddle. At its core, the Cloud Workload Defense Framewo...

Culture Fitness

Have you checked in on the overall health of your team lately? What would a new hire think of your current team? Companies all over the world – particularly those of the higher-profile variety – tout their positive cultures and how great it is to be part of the team. This is especially true in th...

AutoPentest-DRL - Automated Penetration Testing Using Deep Reinforcement Learning

AutoPentest-DRL is an automated penetration testing framework based on Deep Reinforcement Learning DRL techniques. The framework determines the most appropriate attack path for a given network, and can be used to execute a simulated attack on that network via penetration testing tools, such as...

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...

Should Failing Phish Tests Be a Fireable Offense?

Would your average Internet user be any more vigilant against phishing scams if he or she faced the real possibility of losing their job after falling for one too many of these emails? Recently, I met someone at a conference who said his employer had in fact terminated employees for such repeated...

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...

Lurking for over 11 years, the Linux kernel vulnerability”Phoenix Talon”exposure-vulnerability warning-the black bar safety net

! Early last month, qimingxing e ADLab presented four exist in the Linux kernel of the remote vulnerability, and the name“Phoenix Talon”; wherein a vulnerability is a seriousCriticallevel, the other three as high-riskHigh. Yesterday ADLab published in which seriousCriticalvulnerabilities relevant...