ZeusCloud

Secure your cloud. ZeusCloud is an open source cloud security platform. Discover, prioritize, and remediate your risks in the cloud. Build an asset inventory of your AWS accounts. Discover attack paths based on public exposure, IAM, vulnerabilities, and more. Prioritize findings with graphical...

criticality_score

Open Source Project Criticality Score Beta This project is maintained by members of the Securing Critical Projects WG. Goals 1. Generate a criticality score for every open source project. 2. Create a list of critical projects that the open source community depends on. 3. Use this data to...

vPrioritizer

Overview | How it works | Quickstart | Roadmap | Contact Me Overview As indicated by sources like vulndb & cve, on a daily basis, approximately 50 new vulnerabilities become known to industry and it’s safe to assume that count is going to increase furthermore. It’s a huge number of vulnerabilitie...

ThreatSentry-AI

ThreatSentry AI: AI-Powered Threat Hunting Tool Automate external asset discovery, intelligently enrich with multi-source data, and leverage ensemble machine learning to predict and prioritize risk. Transform alert fatigue into actionable intelligence. 🚀 Mission Statement ThreatSentry AI eliminat...

Qualys Expands Serverless Security with Vulnerability Scanning for AWS Lambda

Key Takeaways Qualys now delivers automated AWS Lambda vulnerability scanning , extending serverless security beyond posture checks CSPM into workload-level risk visibility. CSPM alone only catches misconfigurations excessive permissions, exposure, logging, encryption — it can't detect vulnerable...

Bridging the Visibility Gap: A Unified Security Operating Model for Hybrid Cloud Teams

Move beyond chasing vulnerabilities to a unified hybrid risk strategy. The Sensor Workload Scanner is now GA and extends our risk prioritization engine to on-premise environments to identify the critical attack paths across your hybrid cloud...

Adversarial Exposure Validation Turns Security Visibility into Confident Prioritization

For security teams, the findings never stop, but confidence in knowing which ones matter is becoming harder to maintain. The problem is no longer visibility. It's validation. Security teams must decide which findings warrant action while operating under constant pressure and incomplete informatio...

Turning Millions of Risks Into One Actionable List

Every security leader walks into Monday morning with the same question. The findings are there. The dashboards are running. But out of the thousands of critical vulnerabilities on that list, which ones can an attacker actually use against this organization today? Not in theory. Not in a lab. In...

Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts

Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritization: we must understand which risks are most severe, who is most vulnerable, and who is most responsible for addressi...

NIST Cybersecurity Framework and CTEM Alignment

The NIST Cybersecurity Framework gives security leaders a common language for managing cyber risk, but it does not tell teams which exposed asset to fix first on Monday morning. Continuous Threat Exposure Management fills that execution gap. When the NIST cybersecurity framework and CTEM are...

Cyber Insurance Requirements for Cybersecurity

Cyber Insurance Requirements for Cybersecurity Cyber insurance requirements cybersecurity teams face today are stricter than they were even a few years ago. Underwriters no longer accept a simple security questionnaire and a list of tools. They want evidence that your organization can identify...

Application Security Strategies Are Changing as AI-generated Code Floods the SDLC

AI-generated code is changing AppSec workflows, forcing teams to rethink SDLC security, dependency checks, code review, and risk prioritization...

[Webinar] Mythos Reality Check: Beating Automated Exploitation at AI Speed

Imagine a world where hackers don't sleep, don't take breaks, and find weak spots in your systems instantly. Well, that world is already here. Thanks to AI, attackers are now launching automated, large-scale exploits faster than ever before. The time you have to fix a vulnerability before it gets...

What Makes a Vulnerability Management Dashboard Effective?

Let's be direct: a high CVSS score doesn't mean a vulnerability is a top priority for your organization. Attackers don't care about theoretical scores; they care about clear, exploitable pathways to your critical assets. If your vulnerability management dashboard is only showing you generic...

The New Era of Application Security: Reasoning-Based Agents, Runtime Reality, and Risk Intelligence

Key Takeaways AI reasoning systems improve vulnerability detection in source code, but do not address the full spectrum of application security risk. Modern application security must account for APIs, runtime environments, and externally exposed assets beyond the source repository. Continuous...

Cybersecurity Predictions for 2026 Signal the Maturation of Risk-First Security Models

Key Takeaways Cyber risk management gets operationalized in 2026. Leading organizations move beyond visibility and frameworks to govern risk through prioritization, simulation, and deliberate action. Attack-path modeling matures into execution. Static views give way to dynamic, decision-driving...

Vulnerability Management vs Exposure Management: The Next Step

An attacker doesn’t care about your long list of CVEs or your internal CVSS scores. They care about finding a single path into your network. This is the fundamental idea that separates the old way of thinking from the new. The discussion around vulnerability management vs exposure management is...

Cyber Risk Prioritization: A Practical Guide

For years, security teams have relied on static scores like CVSS to guide their patching efforts. While helpful, these scores only tell part of the story. They show a vulnerability's potential severity but lack the real-world context of what attackers are actually doing right now. A theoretical...

Cisco Integrated AI Security and Safety Framework Report

Artificial intelligence AI systems are being readily and rapidly adopted, increasingly permeating critical domains: from consumer platforms and enterprise software to networked systems with embedded agents. While this has unlocked potential for human productivity gains, the attack surface has...

What Is a “Next Generation” Vulnerability Management Solution?

You already know that running vulnerability scans is a fundamental part of cybersecurity. But what happens after the scan is finished? A long list of potential weaknesses without context is more overwhelming than helpful. A modern vulnerability management system goes far beyond simple scanning. I...