Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Severity Scores Don't Tell the Full Risk Story

Security teams have long relied on severity scores to prioritize vulnerabilities, but severity alone doesn't reveal which exposures pose the greatest immediate risk. This video explores why factors like asset criticality, reachability, and time-to-danger are becoming essential for effective vulnerability prioritization, helping teams focus on the risks that matter most.

CrowdStrike SafeMind: When the Best Offense Builds the Best Defense

The conventional approach to AI-powered security is to build an offensive agent to find weaknesses, build a defensive agent to catch threats, and run them in separate tracks. It's a clean division of labor that produces capable tools. However, the conventional approach also produces a permanent blind spot — the defense is never trained against the actual offense, and the connective tissue between the two is manual, slow, and fragile.

When a Cybersecurity Finding Stops the Sale

Every cyber loss model runs in the same direction. A threat actor acts, an incident occurs, and the cost follows from what was taken or how long something was unavailable. Frequency comes from threat data and severity from asset values. ‍ There is a loss category that runs the other way. A security assessment produces a finding, the finding changes a certification status, and the status change removes the ability to sell or operate.

AI Governance for Content Nobody Has Released Yet

Confidential data is usually something to protect indefinitely. Customer records, financial results, contract terms and personal information all need the same treatment next year as this year, so controls are judged on how well they hold over time. ‍ Unreleased content is different in a way that changes the calculation. Its commercial value depends entirely on not existing publicly yet, and on release day that requirement disappears completely.

PAM ROI: Modern privileged access management pays for itself

Privileged access management (PAM) is one of the clearest ways to reduce identity-based risk and demonstrate security value. But ROI depends on more than simply deploying a PAM tool. Organizations need a solution that can be implemented efficiently, managed without unnecessary operational burden and scaled in a way that supports long-term cost control. For organizations evaluating PAM investments, these factors matter.

Hunting Our Own Vulnerabilities First: Tanium's Frontier AI Security Commitment

Tanium’s customers span critical infrastructure sectors, including some of the largest banks, hospital systems, and government agencies in the world. They trust our agent on their most sensitive endpoints, which means that the software we ship must meet the high standards they set for themselves. That’s why we hunt our own vulnerabilities before anyone else can.

Try Sumo Logic in minutes: see SIEM and Dojo AI agents in action

You already know the feeling. An alert fires, and you’re the one digging through logs to figure out if it matters. A query takes three tries to get right. A tool demo looked great, but you still cannot picture it running against your own environment. Before dedicating too much of your over-committed schedule to a proof of concept, you want to know one thing: does this actually work the way they say it does?

Why LimaCharlie's AI Sessions works with any model

Co-founder and COO I have been using AI coding tools since the beginning. Back around 2022, I built a RAG system that would return links to relevant documentation when users made a search request. Initially, I wanted the AI to answer the user's question directly, but at the time it would hallucinate so much that I didn't trust the output enough to put it in front of users. Instead, I had the AI return static links to the relevant documentation.

SOCI and CIRMP: The cybersecurity frameworks Australian critical infrastructure operators can use

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

A Day in the Life at a Cybersecurity Company UpGuard

Ed Kost, Content Strategist at UpGuard, gave us a day in the life. Turns out there's a lot more to a cybersecurity content strategist than vendor risk management. We hire talented people and let them be themselves, which is how you end up with someone like Ed. Every UpGuardian brings a little something extra to the team. UpGuard helps organizations manage third-party risk (TPRM) and monitor their attack surface. But great security work starts with a team of people worth spending your day with.

"AI Regulation" Isn't One Debate. It's Several, Wearing the Same Coat.

Ask ten people what "AI regulation" means, and you'll get ten different answers, and most of them will assume the others are talking about the same thing. They're not. "Regulate AI" has become a catch-all phrase covering several genuinely distinct regulatory questions, each with its own goal, its own toolkit, and its own plausible answer, bundled together so tightly that arguing about one gets mistaken for arguing about all of them.