#pentestGPT #automatedpentesting #AIpentesting #vulnerabilitymanagement The story of pentesting has always been one of evolution. What began as infrequent, expensive human-led exercises gave way to automated testing platforms that offered repeatability and scale. Now, we’re entering a new chapter: AI-driven pentesting, powered by large language models (LLMs). At the center of this shift is what many call Pentest GPT  — the application of GPT-style models to penetration testing workflows. But what does Pentest GPT actually do in practice? How is it different from generalized AI like ChatGPT? And, importantly for MSPs, how can you tell which of these emerging tools are worth trusting? From General GPTs to Pentest GPTs It’s tempting to think of Pentest GPT as “ChatGPT with a hacker hoodie,” but the distinction matters. ChatGPT and other generalized models are trained on a broad diet of internet text. They can explain concepts, draft documentation, or brainstorm attack scenarios. But they don’t have deep knowledge of exploit frameworks, vulnerability databases, or real-world offensive security workflows by default. Pentest GPTs, on the other hand, are fine-tuned for this exact domain. They are trained on curated data sets that include CVE descriptions, red team playbooks, penetration testing reports, and MITRE ATT&CK techniques. They aren’t just answering questions in a vacuum — many of them are integrated with pentest tools like Nmap, Burp Suite, Nuclei or Metasploit, which allows them to interpret outputs and recommend next steps. The difference is practical. ChatGPT might give you a good summary of SQL injection. A Pentest GPT could actually walk you through testing a live SQL injection vulnerability, generate a payload, validate the exploit, and then draft a remediation plan for your client. Where Pentest GPT Fits in the Workflow The role of Pentest GPT is not to replace scanners or exploit frameworks, but to add intelligence between the tools. For example, it can help with reconnaissance by sifting through unstructured information like documentation or leaked credentials and highlighting what’s relevant to an attack surface. It can also assist in crafting or adapting payloads, saving pentesters the time of digging through syntax and coding nuances. Perhaps most powerfully, GPT models can plan through stages of attack like a red team would do. A traditional automated platform might tell you that a server has an outdated service and that Active Directory has some weak permissions. A Pentest GPT can connect those dots into an attack path: if exploited together, this vulnerability chain could lead to domain admin. That’s the kind of context MSPs need to turn findings into action. Finally, there’s reporting. This is where GPT shines. Pentesters have long struggled to translate deeply technical findings into business-relevant risk language. A Pentest GPT can transform “CVE-2024-12345 exploited successfully” into “Attackers could access your payroll system and exfiltrate employee data. The patch for CVE-2024-12345 on these specific machines should be applied immediately.” For MSPs trying to communicate value, that’s game-changing. Who’s Building Pentest GPTs — and Which Ones Matter Not all Pentest GPTs are created equal. Some are academic prototypes, others are experimental open-source projects, and a few are beginning to show up in commercial tools. PentestGPT , developed as a research prototype, fine-tunes GPT specifically for penetration testing workflows and has shown significant improvements over baseline GPTs in task completion. AutoPentest  is another example — built with GPT-4 and LangChain, it attempts multi-step black-box testing, including reasoning about which exploit or test to run next. PenTest++  blends generative AI with traditional automation frameworks to create a modular, more adaptable testing flow. These tools are early, but they highlight the direction the field is heading. Some vendors are also starting to embed GPT layers into broader automated pentest platforms, where the model interprets results, prioritizes risks, and even drafts reports. Evaluating Pentest GPTs: The Good, the Bad, and the Risky For MSPs considering these tools, evaluation is critical. Accuracy is the first test — does the model deliver factually correct and verifiable results, or does it hallucinate? Integration matters too: a good Pentest GPT won’t live in isolation, it will plug into the scanners, exploit frameworks, and reporting platforms you already use. Transparency is another marker: do you know what data it was trained on and how often it’s updated? Given how quickly CVEs emerge, stale training is a red flag. And then there’s security itself. If the model processes client-sensitive information, where does that data go? Is it fed into a public API, or handled in a private, secure instance? These are questions every MSP should be asking before trusting a Pentest GPT with real environments. The Role of GPT in Pentesting At its core, GPT is not a scanner, not an exploit engine, and not a silver bullet. Its real value comes in three layers: A reasoning layer  that connects outputs from multiple tools into attack narratives. An assistant layer  that guides technicians through decision points and best practices. A translation layer  that reframes technical vulnerabilities as business risks clients can understand. This makes Pentest GPT less of a replacement and more of a force multiplier. The strongest results come when GPT is paired with deterministic scanners and exploit frameworks — the AI provides reasoning and reporting, while the tools provide reliable validation. Looking Ahead Pentest GPT is still in its infancy, but the potential is clear. As models get sharper and integrations improve, MSPs will be able to offer security validation that’s not just continuous, but contextual — always tied back to real attacker behavior and client risk. The future of pentesting isn’t just more automation. It’s AI-driven pentesting , where GPT fills the gaps between scanning and exploitation, amplifies human expertise, and helps MSPs scale offensive security without losing quality. Want to get started on your pentesting journey? Download the whitepaper or set up a demo today.

The Pentester's Toolbox Listen to the podcast Pentesting isn’t just a technical exercise—it’s a craft. And like any craft, the quality of the work depends heavily on the tools in the kit. Whether you’re conducting a manual engagement, using an automated platform, or blending both approaches, the right tools can be the difference between a superficial scan and a deep, actionable security assessment. For MSPs, understanding the pentesting toolbox is essential—not just for delivering results, but for evaluating solutions, hiring security talent, and explaining to clients exactly how you’re validating their defenses. The Pentesting Workflow & Key Tools As the graphic above shows, a pentest typically moves through several stages, each with its own specialized toolset. 1. Reconnaissance & Asset Discovery The first phase is all about understanding the target environment, or taking inventory of all the devices on the network. The results from this phase can be retained in a CMDB to keep track of assets down the road. Some open source tools can be useful for this including: Nmap  – Maps networks and identifies running services Shodan  – Finds exposed devices on the internet Amass  – Uncovers subdomains and related infrastructure 2. Vulnerability Identification Here, the goal is to find potential weaknesses in the target environment by scanning the target network for vulnerabilities. The output from the vulnerability is quantification of the attack surface(s). Some common tools for this include: Nessus  – Comprehensive vulnerability scanning OpenVAS  – Open-source vulnerability management Qualys  – Cloud-based vulnerability scanning platform In addition to understanding the potential points of exposure, it is important to understand the risk, based on threat intelligence of which vulnerabilities are being actively exploited versus those which may not have an associated exploit. 3. Exploitation The next phase is where you make your money. Automated pentesting tests the attack surface found in the preceding stage to determine which of the discovered vulnerabilities can be safely exploited. This is the so-called proof in the pudding. Any exploited vulnerabilities are proof positive that an adversary would succeed to a quantifiable extent in penetrating the network. These vulnerabilities must be remediated immediately. Some common tools for pentesting include: Metasploit Framework  – Exploit development and execution SQLmap  – Automated SQL injection exploitation Responder  – Captures credentials in Windows environments 4. Post-Exploitation & Lateral Movement Once inside, the objective is to simulate attacker behavior for persistence and pivoting. This stage is for more advanced pentesters who are able to leverage that initial exploitation on a beach head machine and then find further targets of interest. A common approach is simply to repeat steps 1 through 3 from behind the firewall to find targets of opportunity and then exploit, wash, rinse repeat. A more organized approach is to begin with a target device (eg Active Directory server, back-up storage) and chain together a set of exploits and devices to get to the target machine. Some other tools that can be helpful here include: Cobalt Strike  – Adversary simulation platform Empire  – PowerShell-based post-exploitation BloodHound  – Active Directory attack path analysis 5. Web Application Testing Web application testing forms its own category of pentesting as it is often not hosted on the client network, nor is an initial entry vector, but often a target itself for the data and applications it hosts. Testing web applications is typically relatively straight forward because they exist on the internet by definition, unless it is an intranet application. Be sure to obtain permission from the prospect or client before testing any of their networking infrastructure. For web apps, APIs, and portals, some common tools that focus on application-layer vulnerabilities include: Burp Suite  – Web app proxy and scanner OWASP ZAP  – Open-source web security testing 6. Reporting & Collaboration While running all these tools are fine, the findings mean nothing without clear, actionable reporting for your client. For most SMBs, the details in the findings don't matter. What is required is easy to understand risk tables or graphs that are actionable with specific timelines, along with the impact of remediating the findings or conversely the risk of not remediating the findings. A couple of tools that may be helpful for reporting include: Dradis  – Reporting and collaboration for pentesters Faraday  – Collaborative vulnerability management platform However, be sure that your reporting program matches your QBR format for consistency. Where Automation Fits In Automated pentesting platforms like ThreatMate integrate many of these capabilities into a single, continuous process. They can handle reconnaissance, vulnerability detection, safe exploitation, and reporting without requiring the MSP to juggle multiple tools. Modern platforms including ThreatMate often include scoring systems like CVSS  and EPSS  to prioritize vulnerabilities based on real-world exploitability, helping teams focus on the most pressing risks. Why MSPs Should Care About the Toolbox You don’t need to master every tool, but you should: Understand what each category of tool does Recognize when specialized tools are required Confirm your automated pentesting platform covers all critical stages Be able to explain your process to clients in plain language Knowing your tools builds confidence—not just in your technical capability, but in your ability to protect your clients effectively and consistently. In summary, pentesting involves multiple stages and different toolsets to achieve the outcome desired for prospects and clients. This blog provides a decent overview of the tooling that is out there if you would like to do it yourself. ThreatMate provides a single platform from which you can conduct end to end pentesting and vulnerability discovery to find and fix security exposures before the bad guys exploit them. Sign up for a demo today!

Listen to the Podcast In our last post, we explored why pentesting still matters, tracing its history from human-led pentesting to the challenges of cost, consistency, and limited frequency. Now it's time to look at the next chapter — automated pentesting — and why it’s becoming the go-to approach for MSPs looking to scale their security offerings and ensure the clients they take on are not introducing risk to themselves. From Vulnerability Scanners to Automated Pentests Before we dive into automated pentesting, let’s clear up a common misconception: Pentesting is not the same as vulnerability scanning . Vulnerability scanners  (like Nessus, OpenVAS, Tenable, or Qualys) are designed to find  known weaknesses—misconfigurations, outdated software, missing patches. They are fast and useful, but they stop short of proving exploitability . Automated pentesting tools , on the other hand, take things a step further: They simulate real-world attacks Attempt to exploit vulnerabilities in a safe, controlled manner Chain multiple weaknesses together to mimic how attackers pivot inside a network Deliver prioritized findings that reflect actual business risk In short: scanning tells you what might be wrong ; automated pentesting shows you what an attacker could actually do and the resulting impact . Why Automated Pentesting Works for MSPs MSPs face a tricky balance—clients expect robust security, but margins and staffing realities mean you can’t have a human pentester on every account. Automated pentesting changes the equation. Key advantages: Frequency Without Fatigue Run tests quarterly, monthly, or even weekly without burning out your security team. Consistency Across Clients The same methodology, every time, ensures comparable results and eliminates the “human variability” factor. Scalable Service Delivery Whether you have 10 clients or 200, automated pentesting scales with your customer base. Actionable Prioritization Many pentesting platforms including ThreatMate integrate EPSS  (Exploit Prediction Scoring System) and CVSS  to sort findings by actual exploit likelihood, helping you focus on the most dangerous issues first. How Automated Pentesting Works (Under the Hood) While features vary by platform, the core workflow generally includes: Reconnaissance Mapping assets, services, and potential entry points. Vulnerability Discovery Identifying misconfigurations, outdated software, and exposed services. Exploitation Simulation Safely testing whether vulnerabilities can be exploited—and how far an attacker could go. Lateral Movement & Privilege Escalation Attempting to move deeper into the network, chaining multiple vulnerabilities together. Reporting & Remediation Guidance Delivering clear, prioritized reports your team can act on immediately. Operationalizing Automated Pentesting for MSPs Here’s how forward-thinking MSPs are integrating automated pentesting into their offerings: Prospecting Run a pentest on prospects to build out a cybersecurity risk assessment. This is a strong way to differentiate yourself, while also learning earyl what you are getting in to. Quarterly or Monthly Security Reviews Provide clients with fresh, data-backed proof of their current security posture. Incident Response Readiness Simulate attacks to validate defenses after a breach or major system change. Compliance Support Use results to satisfy PCI-DSS, HIPAA, SOC 2, and other framework requirements. The Business Case Automated pentesting isn’t just a technical upgrade—it’s a business growth engine . MSPs offering it can: Justify premium security packages Increase client retention by proving ongoing value Create upsell opportunities with remediation and consulting services Next Up: The Pentesting Toolbox In our next post, we’ll break down the essential tools—open-source and commercial—that security teams use during pentests, from reconnaissance to reporting. You’ll see how these tools fit into both manual and automated workflows. Pentesting isn’t going away—it’s becoming faster, smarter, and more scalable. MSPs that embrace automation now will be the ones leading the market tomorrow.

Watch a video of this blog Cybersecurity is no longer a nice-to-have for MSPs, it’s mission-critical for yourself and your clients. As threat actors grow more sophisticated and SMB clients face increasing pressure to meet compliance and cyber insurance requirements, one security discipline has stood the test of time: penetration testing. But not all pentests are created equal, and the way MSPs deliver this service is rapidly evolving. Let’s take a step back and understand the origins of pentesting, why it still matters today, and how it’s changing to meet the modern threat landscape. The Origins of Pentesting: A Human-Driven Craft Penetration testing has its roots in the 1960s and 70s, when early security professionals, many from military or government backgrounds, attempted to simulate how real-world attackers might compromise a system. These early efforts were manual, time-consuming, and the quality depended on the skill of the particular team doing the testing. Over the years, human-led pentesting evolved into a specialized discipline. Skilled practitioners used a combination of tools, scripting, and intuition to: Identify weaknesses in networks, applications, and endpoints Attempt to exploit those weaknesses to prove their impact Deliver detailed reports with recommendations for remediation This process remains valuable today. But for MSPs, traditional pentesting often presents a series of challenges. The Problem with Traditional Pentesting While manual pentesting provides deep insight, it comes with trade-offs: High Cost : A single manual pentest can cost thousands (or tens of thousands) of dollars. Inconsistent Quality : The outcome depends on the skill, methodology, and diligence of the human tester. Limited Scope : Human time is finite—tests are often narrow in scope and only represent a snapshot in time. Usually it is a capture-the-flag exercise vs a comprehensive assessment. Low Frequency : Most organizations only conduct tests annually or for compliance, leaving long windows of exposure. For MSPs, this model is difficult to scale across multiple clients and often leads to missed revenue opportunities or weak security coverage. Why Pentesting Is More Relevant Than Ever Despite its limitations, the concept of pentesting—simulating real attacks to validate defenses—is more vital now than ever before. Here’s why: Attackers Don’t Wait : Real-world threats evolve daily; defenses must be tested continuously. Compliance Requirements : Frameworks like SOC 2, PCI-DSS, HIPAA, and others increasingly mandate regular testing. Client Expectations : SMBs now demand proof that their IT provider is taking proactive steps to secure their environment. Insurance and Legal Exposure : A failure to validate security posture can lead to denial of cyber insurance claims or legal liability. Pentesting is not just a checkbox exercise—it’s a core validation layer in a defense-in-depth strategy. The Shift Toward Continuous, Automated Pentesting The answer for MSPs isn’t to abandon pentesting—it’s to modernize how it’s delivered. By adopting automated pentesting solutions, MSPs can: Perform assessments more frequently without breaking the bank Deliver standardized and repeatable results across clients Discover and validate vulnerabilities in real time Differentiate themselves from competitors still offering one-and-done scans This doesn’t replace human-led pentests, but it allows MSPs to offer ongoing offensive testing as part of a managed service. Coming Up Next: How Automated Pentesting Changes the Game In our next post, we’ll explore how automated pentesting tools work, how they compare to traditional vulnerability scanners, and how MSPs can operationalize them to better serve their clients. Pentesting isn’t going away—it’s evolving. And MSPs that embrace this shift will be better positioned to protect their clients, prove their value, and grow their business. To learn how you can adopt automated pentesting in your business, contact ThreatMate below.

Summary Most MSPs rely on referrals — but if you're not showing up on Google, you're invisible to prospects. Learn how to use AI tools for smarter SEO: from keyword discovery to content generation and site audits. How Tos Let’s face it — most MSP websites look fine but rank nowhere. Search engine optimization (SEO) is what brings your site traffic from people actively looking for IT support, cybersecurity, and compliance help. The good news? AI makes SEO 10x easier. Here’s how MSPs are using it to win: 🧠 Step 1: Keyword Discovery with AI Use tools like: ChatGPT + Keywords Everywhere  – Ask for keyword variations for your niche (“managed IT in Dallas” or “HIPAA compliance support”) Ubersuggest / SurferSEO  – Find real search volume, competition, and content gaps Google Search Console  – See what you already  rank for and where you’re close to top 10 💡 Pro tip:  Ask ChatGPT to “cluster” related keywords so you can build topic hubs (e.g., M365 security, phishing prevention, or data backups). ✍️ Step 2: AI-Powered Content Creation Once you know what to target: Use Jasper , ChatGPT , or Copy.ai  to write blog drafts, service pages, or FAQs Then fine-tune the tone, add local examples, and format for readability Use Grammarly  or Hemingway App  to polish the language Don't forget meta descriptions and image alt text — AI can help there too 🎯 Focus on “pain-point” keywords like: “IT support for law firms” “MFA not working” “How to fix Outlook login loop” 🛠️ Step 3: Technical SEO with AI Assistants Use Screaming Frog SEO Spider  or Ahrefs Site Audit  to find broken links, slow pages, and crawl errors Ask ChatGPT to explain complex audit findings Use AI to generate fix recommendations or even write alt tags and schema markup 📈 Track your rankings using Google Search Console , SerpRobot , or ProRankTracker 🔄 Consistency = Visibility Google rewards freshness. Even one new blog post per month (AI-assisted!) can move the needle. And if you're using help desk ticket data to drive content ideas — you're turning support into SEO fuel. You don’t need to become an SEO expert. You just need to give AI the playbook. Reach out if you want more coaching!

Summary Want to train your techs or test AI-driven hacking safely? Build your own internal pentest lab using open-source tools and simulated environments — all enhanced with AI automation. The How To Think of an AI pentest lab as your cybersecurity sandbox — a place to experiment, train, and simulate real-world attacks without touching production systems. And yes, you can build one with open-source tools. Whether you're training junior techs or exploring AI-driven offensive tooling, this guide shows MSPs how to get started: 🛠️ What You'll Need: 1. A Test Environment Use VirtualBox  or Proxmox  to spin up isolated VMs Set up vulnerable machines like Metasploitable2 , DVWA , or TryHackMe/THM labs Isolate the network or run it on a VLAN 2. Open-Source Pentest Tools Kali Linux  with tools like Nmap, Nikto, Metasploit OWASP ZAP  or Burp Suite Community  for web app testing 3. AI-Powered Assistants Use ChatGPT  or AutoGPT  to walk through attack paths, explain outputs, or generate payloads Run an LLM locally (e.g., Ollama + open-source model) to assist without internet access 4. Workflow Automation Try tools like PentestGPT , ReconGPT , or scripting with Python to automate scans and reporting 🧪 Why It Matters for MSPs: ✅ Train staff in real-world attack scenarios ✅ Test toolchains before client rollout ✅ Stay current with evolving threats Plus, you’ll be better equipped to pitch pentesting services to clients — because you’ve done the work in house . Start small. Run safe. Get smarter. If you would rather not take the time to do all this, ThreatMate has you covered. Just sign up for a time and we will walk you through AI Automated Pentesting.

Summary Client reports don't need to be painful or plain. Learn how MSPs are using AI to generate stunning, executive-ready security reports — from vulnerability summaries to patch metrics — in minutes, not hours. How to Do It As an MSP, reporting is more than a task — it's your proof of value. But let’s be honest: most security reports are either too technical, too generic, or too time-consuming to create. Enter AI. With the right tools, you can generate beautiful, customized security reports that your clients actually read — and that position you as a proactive partner, not just a vendor. Here's how MSPs are doing it: 🔧 Tools That Make It Easy: ChatGPT or Claude : Summarize scan results in plain English ThreatMate : Automatically pull findings, EPSS/CVSS scores, and affected assets into a branded report Beautiful.ai / Canva Docs : Create polished, client-ready slide decks or PDFs with charts and visuals Power BI / Looker Studio : For MSPs with larger clients, build live dashboards that pull from your tools 🧠 What ThreatMate AI Does for You: Translate vulnerability scan data into executive summaries Highlight critical issues by business impact, not just CVSS Include helpful visualizations of trends, patches applied, and open items Suggest remediation recommendations based on known fixes 📈 Pro Tip: Use ThreatMate to auto-generate a “risk scorecard” that tracks the client’s security health quarter-over-quarter. Clients love seeing progress (and risk reduction) in a visual format. Don’t just report data. Tell a story  — one where your MSP is the hero keeping them secure. Schedule a Demo today!

#AIhelpdesk #digitalworkers #AIchatbots Summary MSPs can use AI chatbots to handle routine tickets — password resets, printer issues, onboarding guides — and slash response times. This post shows how to build one using Microsoft Copilot, ChatGPT, or Tidio. Power Up Your Techs The average MSP help desk drowns in routine tickets. AI can handle the boring stuff — and free your team to focus on what matters -- supporting your clients' business goals. Start with these quick wins: Password resets (auto-email responses with links) Printer troubleshooting (flowchart-style AI answers) Onboarding checklists (auto-generated from templates) Tools to learn: ChatGPT + Zapier:  For custom flows from ticket to resolution Microsoft Copilot:  Deeply integrated for M365-heavy clients Tidio or Intercom:  Plug-and-play AI bots for your website Don’t try to replace your techs — empower them. AI is your new Tier 0. Need help? No worries, ThreatMate can help you on your AI journey.

Summary: MSPs often struggle with consistent marketing — but AI tools like ChatGPT, Jasper, and Canva are giving them the power to scale content creation, automate SEO, and run campaigns with minimal effort. Learn how in this practical guide. Get Visibility Early and Often Most MSPs aren’t short on value — they’re short on visibility . Marketing often falls to the bottom of the to-do list, and that’s where AI comes in. Today’s AI tools can: Write high-converting landing pages and emails Design visuals, banners, and social cards Run SEO keyword research and optimization Analyze traffic and optimize campaigns You don’t need to be a marketing expert. You need a strategy, a few tools (ChatGPT, Jasper, Canva, SurferSEO), and a consistent rhythm. Pro tip: Use your help desk data. Turn common questions into blogs, FAQs, and case studies that bring in organic traffic. AI won’t replace your voice — it’ll help you find it faster  and publish more often.

#MSP #Cybersecurity #Pentesting #AI #ThreatMate Summary AI isn’t just hype — it’s helping MSPs uncover exploitable vulnerabilities faster, cheaper, and more intelligently. In this post, we explore how AI is reshaping penetration testing, making it more continuous, contextual, and cost-effective. What You Need to Know Penetration testing has long been an expensive, one-off service. But as attack surfaces grow and threats evolve, MSPs need faster, more scalable ways to uncover weaknesses across client networks. Enter AI-powered pentesting . Platforms like ThreatMate use large language models and attack graph algorithms to simulate adversaries in real-time. Instead of waiting 6 months between tests, MSPs can run lightweight AI-driven assessments weekly or even continuously. Why does this matter? AI prioritizes what matters.  CVEs are ranked using EPSS, CVSS, and real-world exploitability. AI adapts to environments.  It can recognize context (like cloud vs on-prem) and modify attack paths accordingly. It’s plug-and-play.  With devices like ThreatMate Pi, MSPs can assess a prospect’s environment in minutes. As cyber threats get faster and smarter, so should your testing. AI is the cheat code to keep up.

Denver, CO — June 9, 2025  — Today at Pax8 Beyond, ThreatMate announced the preview release of a powerful new feature: CIS Compliance & Hardening , designed to help MSPs elevate endpoint security for their clients. This capability is delivered through a deep integration with Senteon , a leading provider of automated CIS (Center for Internet Security) compliance solutions. ThreatMate’s new feature empowers Managed Service Providers (MSPs) with the tools to harden client endpoints against cyber threats by aligning with the globally recognized CIS Benchmarks —a critical step for reducing attack surfaces and meeting regulatory requirements. “Attack surface management is no longer optional—it’s foundational,”  said Anup Ghosh, CEO and Co-Founder at ThreatMate. “By integrating Senteon’s automation-driven CIS compliance into the ThreatMate platform, we’re giving MSPs an easy way to enforce hardening best practices across their fleet of client endpoints—without the manual effort normally required.” Senteon’s CIS Compliance engine continuously monitors system configurations, identifies deviations from benchmark standards, and applies automated remediations where safe and appropriate. This ensures that MSPs can deliver hardened, compliant systems with minimal manual intervention, which is critical in today’s threat landscape, where configuration drift can open the door to breaches. “ThreatMate’s decision to weave our CIS hardening engine directly into their platform is a clear signal that the market is racing toward automated, audit-ready security,” said Henry Zang, CEO of Senteon . “This integration not only expands the reach of our technology, it validates the growing demand from MSPs and compliance-driven organizations for a faster, frictionless path to hardened endpoints. Together, we’re giving the broader security and compliance community the muscle to lock down every device at scale and prove it on day one.” Key Benefits for MSPs and Their Clients: Reduce risk exposure  by minimizing vulnerable configurations across endpoints. Demonstrate compliance  with frameworks often required for insurance or industry regulation. Automate hardening  through a streamlined integration with ThreatMate’s existing cyber automation platform. Preview Availability The CIS Compliance & Hardening feature will be available in preview starting June 8  for ThreatMate customers. Full general availability is expected later this year. MSPs attending Pax8 Beyond  can stop by the ThreatMate booth for a live demo and walkthrough of the new capabilities. About ThreatMate  ThreatMate is the cyber automation platform built for MSPs. From vulnerability discovery, automated pen testing, and M365 analysis, ThreatMate provides a platform for unified attack surface management, ThreatMate delivers continuous, intelligent defense that keeps providers several moves ahead of the adversary. About Senteon Senteon ( senteon.co ) automates endpoint hardening and compliance, providing IT service providers and enterprises with a faster and easier way to secure every device at scale while adhering to CIS requirements.  For more information, visit   www.threatmate.com  or contact info@threatmate.com .

The Download Three newly disclosed vulnerabilities in Node.js—CVE-2025-23166, CVE-2025-23167, and CVE-2025-23165—introduce serious risks to web applications and backend systems built on this widely used runtime. These flaws include memory corruption, improper HTTP header parsing (leading to request smuggling), and process crashes from poorly handled cryptographic operations. For MSPs, business owners, and IT operators running Node.js-based applications, these bugs can result in denial-of-service attacks, data leaks, or full application compromise. The popularity of Node.js in modern cloud and serverless environments makes this threat particularly urgent. What You Can Do Immediately audit your systems for affected Node.js versions and upgrade to the latest patched releases—v20.19.2, v22.15.1, v23.11.1, or v24.0.2 depending on your version line. Prioritize patching externally exposed APIs and services. In parallel, review server logs and WAF (Web Application Firewall) alerts for signs of request smuggling or abnormal behavior. Where possible, isolate or containerize Node.js apps to limit blast radius in case of exploitation, and ensure crash reporting is enabled to catch unexpected behavior early. ThreatMate analyzes all your attack surfaces for exploitable vulnerabilities. Sign up today for a demo. To Learn More: https://nodejs.org/en/blog/vulnerability/may-2025-security-releases?utm_source=chatgpt.com