This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Technologies that were figments of the imagination a dozen years ago, if they were conceived of at all, quickly become mainstream — think generative artificialintelligence (GenAI) or blockchain. It’s obviously a step to penetrationtesting, but it’s also helpful for architect, engineer, and analyst jobs.
Cursor AI has emerged as a highly popular AI-powered integrated development environment (IDE) within the developer community, seamlessly embedding artificialintelligence into the development workflow to accelerate content creation.
Proofpoint, a leading cybersecurity firm, has uncovered a concerning campaign targeting American organizations and individuals involved in artificialintelligence (AI) research. ArtificialIntelligence Experts appeared first on PenetrationTesting.
The European Commission has announced the launch of the “AI Continent Action Plan,” a bold initiative aimed at narrowing the gap with the United States and China in the race to develop and deploy cutting-edge artificialintelligence technologies.
In short, your militarily-meaningless defacements, childish trolling, and attacks on civilians’ data were a tiny price for my government to pay for the massive, invaluable penetrationtest that you performed for us free of charge. Thank you again, V Putin.
DeepSearch is a recently introduced feature in ChatGPT that leverages artificialintelligence to scour the entire internet and compile tailored reports for usersa process that may take anywhere from several minutes to nearly an hour to complete.
In an age where artificialintelligence (AI) seamlessly integrates into our daily lives, a new publication from the National Institute of Standards and Technology (NIST) sheds light on a critical vulnerability: AI’s susceptibility to... The post Decoding AI Vulnerabilities: NIST’s Deep Dive into Adversarial Machine Learning (..)
The PREVENT products are the latest additions to the firm’s artificialintelligence (AI)-driven portfolio, which it claimed works together autonomously to optimize an organization’s state of security through a continuous feedback loop. To read this article in full, please click here
Enter White Rabbit Neo AI , a free, AI-driven tool designed specifically for penetrationtesting. In this post, we’ll dive deep into what White Rabbit Neo AI is, how to use it, and why it’s fast becoming the go-to solution for penetrationtesting and hacking.
We collect telemetry from clients’ networks and analyze it using machine learning and artificialintelligence, plus human threat-hunting analysts. 7% of high-severity incidents were targeted attacks; 18% were ethical offensive exercises (penetrationtesting, red teaming etc.).
In the fast-paced world of high-performance computing and artificialintelligence, GPUs have emerged as indispensable powerhouses. ... The post LeftoverLocals – CVE-2023-4969: The Hidden Threat in Your GPU appeared first on PenetrationTesting.
Hacking For Dummies takes you on an easy-to-follow cybersecurity voyage that will teach you the essentials of vulnerability and penetrationtesting so that you can find the holes in your network before the bad guys exploit them.
This post covers highlights of our analysis, including the rise of ransomware as a service (RaaS), the six nastiest malware groups, and the role of artificialintelligence in both cybersecurity and cyberthreats. As always, it covers the trends, malware groups, and tips for how to protect yourself and your organization.
The use of artificialintelligence and machine learning has enabled hackers to automate their attacks, making them more efficient and harder to detect. Cybercriminals are also increasingly using social media to gather intelligence, exploit personal information, and initiate attacks.
PenetrationTesting Frameworks: Frameworks like Metasploit simulate real-world attacks to identify security weaknesses. ArtificialIntelligence (AI) and Machine Learning (ML): AI/ML can enhance attack sophistication and scale, but they also improve threat detection and response.
On 2016 I was working hard to find a way to classify Malware families through artificialintelligence (machine learning). One of the first difficulties I met was on finding classified testing set in order to run new algorithms and to test specified features. SecurityAffairs – malware, artificialintelligence ).
As cyber threats become increasingly sophisticated, integrating artificialintelligence (AI) into cybersecurity is more than a passing trend — it’s a groundbreaking shift in protecting our digital assets. As cyber-attacks grow increasingly complex, leveraging AI becomes crucial for staying ahead of emerging threats.
Researchers in Uruguay have recently discovered a method to use artificialintelligence (AI) to eavesdrop on victims’ screens through electromagnetic radiation leaks from computer cables and monitors.
Artificialintelligence (AI) has been stirring the imagination of the tech industry thinkers and popular culture for decades. The team approached ChatGPT by explaining that they were doing a penetrationtesting challenge. “I am faced with a penetrationtesting challenge. What is ChatGPT?
Often, getting to such a point involves an external expert helping the organization plan and execute regular security assessments, penetrationtesting, and vulnerability scans to identify potential weaknesses in the organization’s policies, procedures, and systems.
ArtificialIntelligence (AI) and Machine Learning (ML) present limitless possibilities for enhancing business processes, but they also expand the potential for malicious actors to exploit security risks. Learn about our AI/ML PenetrationTesting or contact us for a consultation.
Meta has announced plans to utilize data collected from European Union users to train its artificialintelligence systems, The post Meta to Use EU User Data for AI Training, Offers Opt-Out appeared first on Daily CyberSecurity.
In the modern era of artificialintelligence driven by GPU-accelerated computing, the 2012 development of AlexNeta convolutional neural The post AlexNet Unleashed: Groundbreaking AI Model Now Open Source appeared first on Cybersecurity News.
At the heart of... The post Beyond Breaches: 2024’s Cyber War – Extortion, Manipulation, and New Battlegrounds appeared first on PenetrationTesting. Resecurity’s insightful forecast for 2024 paints a vivid picture of the challenges that lie ahead.
A newly unveiled safety measure for Meta’s artificialintelligence, Prompt-Guard-86M, designed to protect against malicious manipulation, has been found to have a significant vulnerability.
Released in mid-2024, this version showcases how artificialintelligence (AI)... The post Rhadamanthys Evolves: AI-Powered Crypto Theft with Version 0.7.0 The relentless evolution of malware continues with the latest iteration of Rhadamanthys Stealer, version 0.7.0, which incorporates cutting-edge AI-powered features.
With faster response times, a more centralized platform, and artificialintelligence-powered workflows, many companies select XDR tools to optimize or go beyond what their SIEM and UEBA tools can do. However, they offer more than these security tools, with automated, continuous testing and automated breach simulation at their core.
Invariant Labs has disclosed a critical vulnerability in the Model Context Protocol (MCP) that enables what they call Tool Poisoning Attacks (TPAs) a class of threats that may allow sensitive data exfiltration, AI behavior hijacking, and even remote code execution via seemingly benign tools used by AI agents.
During the AI Action Summit in Paris, Anthropic’s CEO, Dario Amodei, remarked that the advancement of artificialintelligence The post “Country of Geniuses” by 2030? Anthropic CEO Amodei’s AI Warning appeared first on Cybersecurity News.
Palo Alto Networks is actively developing security technologies leveraging artificialintelligence. In 2023, the company’s researchers created an automated tool for detecting BOLA (Broken Object-Level Authorization) vulnerabilities.
This includes artificialintelligence (AI) and machine learning (ML) systems that are increasingly used in healthcare. They recommend best practices such as monitoring for data anomalies, keeping models updated, and conducting penetrationtesting.
Kapczynski Erin: Could you share your thoughts on the role of artificialintelligence, machine learning and the growth of IoT devices in both cyber defense and cyberattacks?
LinkedIn has been thrust into the spotlight for quietly using user-generated content to train its artificialintelligence (AI) models, a move that has sparked significant backlash among its users.
OpenAI CEO Sam Altman has revealed plans to launch the o3-mini artificialintelligence model within the coming weeks. The post o3-mini: OpenAI’s New AI Model Coming Soon appeared first on Cybersecurity News.
Advanced SIEM tools also incorporate artificialintelligence (AI) and machine learning (ML) algorithms to analyze logs and trends to proactively identify new alerts and new threats. Penetrationtesting is one way security teams can reduce unnecessary alerts and check for missing alerts.
ArtificialIntelligence (AI) and Machine Learning (ML) have vast applications in the cyber space. ArtificialIntelligence (AI) versus Machine Learning (ML) Before we dive in, let’s level set on the differences between AI and ML, or perhaps the lack thereof. Learn about NetSPI’s AI/ML PenetrationTesting.
Regular vulnerability assessments and penetrationtesting are essential to identify and address weaknesses before they can be exploited by adversaries. The potential impact of emerging technologies like artificialintelligence (AI) and quantum computing on cyber warfare is another significant development.
Check Point's Global CISO discusses the firm's 2023 threat intelligence, including new AI malice and threat actors spreading malware by dropping flash drives.
Utilizing advances in artificialintelligence (AI) and machine learning (ML), cybersecurity technology is now able to provide services such as 24/7 monitoring and constant analysis in a way that is simply impractical for human cybersecurity staff. There are tasks such as penetrationtesting.
ShadowRay is an exposure of the Ray artificialintelligence (AI) framework infrastructure. To further reduce the risk of exposure, use multiple vulnerability scanning tools and penetrationtests to validate the potential risk of discovered vulnerabilities or to discover additional potential issues.
The Open Web Application Security Project (OWASP) maintains Zed Attack Proxy (ZAP) , a free, open-source penetrationtesting tool. It is an easy-to-use integrated penetrationtesting tool for finding vulnerabilities in web applications. He is also a regular writer at Bora.
Google recently announced the launch of its artificialintelligence model, Gemini 2.5, initially releasing the experimental version, Gemini The post Pro vs. Free: Gemini 2.5’s ’s Tiered AI Power appeared first on Daily CyberSecurity.
More advanced security tools can incorporate artificialintelligence (AI) or machine learning (ML) to provide automated recognition and remediation for threats. Penetrationtests can uncover both exposed and unacknowledged vulnerabilities, but most penetrationtests don’t cover a full organization.
We organize all of the trending information in your field so you don't have to. Join 28,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content