56 matches found
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...
Inside Hive Pro: A Complete Platform Review
Knowing you have a vulnerability is one thing; knowing if you’re truly exposed is another. A critical vulnerability might exist on a server, but can an attacker actually reach it? Will your firewall block the attempt? Will your EDR detect the payload? Traditional vulnerability management can't...
GenAI: Harness the Power, Eliminate the Risk — A Practical Playbook for Securing AI from Day One
Enterprises everywhere are racing to leverage AI to gain sharper insights, automate workflows, and deliver richer customer experiences. Based on an assessment conducted by Bain & Company, generative AI adoption is soaring, with 95% of US companies using it, up 12 percentage points in just a year...
What Is Attack Surface Mapping And Why It’s Critical To your Security Program
You might think an attack surface mapper is just another name for a vulnerability scanner, but they serve two very different purposes. A scanner tests the assets you already know about for specific weaknesses. An attack surface mapper answers a more fundamental question: What assets do I even hav...
Mapping Attack Surface for Enterprises: A 5-Step Guide
An attacker doesn’t see your company the way you do. They don’t see departments, projects, or business units. They see a collection of potential entry points—a web of digital assets they can probe for a single weakness. Their goal is to find the one unlocked door you forgot about. This is why...
What Is a Platform for Continuous Exposure Assessment?
You can’t protect what you don’t know you have. In an environment of sprawling cloud instances, remote endpoints, and shadow IT, gaining a complete and accurate picture of your attack surface is a massive challenge. Periodic scans only provide a snapshot in time, missing assets that spin up and...
The Difference Between Vulnerability and Exposure Management Explained
To build a truly effective defense, you have to learn to see your organization through an attacker's eyes. Attackers don't care about your internal vulnerability scan reports or how many patches you applied last week. They look for one thing: an open door. They search for an accessible pathway th...
ATAG: AI-Agent Application Threat Assessment with Attack Graphs
Evaluating the security of multi-agent systems MASs powered by large language models LLMs is challenging, primarily because of the systems' complex internal dynamics and the evolving nature of LLM vulnerabilities. Traditional attack graph AG methods often lack the specific capabilities to model...