ZeusCloud

クラウドをセキュアに。 ZeusCloudはオープンソースのクラウドセキュリティプラットフォームです。 クラウド上のリスクを発見、優先順位付け、修復します。 AWSアカウントのアセットインベントリを構築 パブリック公開、IAM、脆弱性などに基づく攻撃パスを発見 グラフィカルなコンテキストで結果の優先順位付け ステップバイステップの手順で結果を修復 セキュリティとコンプライアンスのコントロールをニーズに合わせてカスタマイズ PCI DSS、CIS、SOC 2などのコンプライアンス基準を満たす 目次 クイックスタート サンドボックス 機能 なぜZeusCloudなのか？ 将来のロードマップ...

criticality_score

开源项目关键性评分（测试版） 本项目由 保障关键项目工作组的成员维护。 目标 1. 为每个开源项目生成一个关键性评分 。 2. 创建一份开源社区所依赖的关键项目列表。 3. 利用这些数据主动改善这些关键项目的安全态势。 关键性评分 项目的关键性评分定义了项目的影响力和重要性。 它是一个介于 0（最不重要） 和 1（最重要） 之间的数字。它基于以下 算法 由 Rob Pike 提出： 我们使用以下默认参数来推导一个 开源项目的关键性评分： 参数（Si）| 权重（αi）| 最大阈值（Ti）| 描述| 理由 ---|---|---|---|--- createdsince| 1| 120|...

vPrioritizer

概要 | 仕組み | クイックスタート | ロードマップ | お問い合わせ 概要 vulndb や cve などの情報源によると、毎日約50件の新たな脆弱性が業界に知られるようになっており、その数は今後さらに増加すると考えられます。これほど多くの脆弱性を効果的かつ迅速に評価し、是正するのは非常に困難です。そのため、今日の組織は脆弱性を排除することではなくリスクを低減することに注力しており（あるいは注力すべきであり）、脆弱性管理は（ほぼ）リスク優先順位付けと同義です。リスクは複数の要因によって決定される変動的かつ動的な概念です。...

ThreatSentry-AI

ThreatSentry AI: AIを活用した脅威ハンティングツール 外部資産の発見を自動化し、マルチソースデータでインテリジェントにエンリッチし、アンサンブル機械学習を活用してリスクを予測・優先順位付けします。アラート疲れを実行可能なインテリジェンスに変えます。 🚀 ミッションステートメント ThreatSentry AI...

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...