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Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
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TITAN AI Demo Series: Driftnet Power-Filtering for Threat Hunters
Threat hunting often means following a lead without knowing where it will take you. Your search tools shouldn’t make you choose between exploring a hunch and losing your original results. Driftnet gives threat hunters multiple ways to refine artifact searches as they investigate. Use Add Filter to explore a narrower view without changing the underlying query, Add to Query to make that refinement persistent, or exclude artifacts to quickly zero in on what remains.
AI Risk Management: Defining, Measuring, & Mitigating the Risks of AI
AI is merging into the modern workplace at roughly the pace computers did in the 1980s, and the risks are evolving just as fast. IBM and Ponemon found that 97% of organizations hit by an AI-related security incident lacked basic access controls, and 63% had no AI governance policy at all. In this video, Yakir breaks down the seven categories of AI risk every GRC leader needs to understand, and what separates knowing you have a control gap from knowing what it will cost you.
Visibility Isn't Security: The Control Gap Explained
Visibility tells you an asset exists. Security requires knowing what it is, what it can reach, how it behaves, and what controls can be applied. In this clip, David Clapp explains why the gap between visibility and action remains one of cybersecurity's biggest challenges.
2026 H1 Threat Review: AI, Ransomware & Emerging Cyber Threats
Cyber threats continue to evolve, and the first half of 2026 delivered no shortage of new challenges. Forescout Research – Vedere Labs' 2026 H1 Threat Review examines the latest trends in vulnerabilities, ransomware, threat actor activity, supply chain security, and AI-driven attacks. Discover the key findings, emerging attack patterns, and practical recommendations security teams can use to better understand and reduce risk.
Keeper Security Launches Certified Microsoft Power Platform Connector for Secrets Manager, Bringing Zero-Knowledge Credential Management to Azure Logic Apps
Keeper Security, the leading zero-trust and zero-knowledge identity security platform, today announces the availability of a certified connector integrating Keeper Secrets Manager with Microsoft Azure Logic Apps. The connector, now published on the Microsoft Power Platform marketplace, enables enterprise teams to create and retrieve credentials at runtime directly within automated workflows without ever hardcoding sensitive values in flows.
How CISA's BOD 26-04 changes vulnerability prioritization
AI-accelerated attacks are redefining the threat landscape, but many of them still rely on one of the oldest tactics in the book: exploiting known vulnerabilities. The difference today is speed. Vulnerabilities that once took skilled hackers months or weeks to exploit can now be weaponized in hours or minutes. This acceleration is forcing organizations to rethink how they identify and remediate risk.
What is shadow AI?
Shadow AI is the use of generative AI tools by employees without the knowledge, approval or oversight of an organization's IT or security teams.
Browser AI Events in the SOC: What to Send and What to Suppress
Browser-layer AI monitoring produces events, and the natural next step is forwarding them to the security operations center. Consider what they arrive into. Industry research for 2026 puts false positives at close to half of all alerts, with around forty-two percent going entirely uninvestigated. Browser AI events are behavioral anomaly alerts, and behavioral anomaly alerts are the category analysts already deprioritize, precisely because they are noisy by nature.
8 Questions on Healthcare Cyber Risk Quantification and Compliance
Healthcare carries the highest average breach cost of any industry and has for well over a decade, and it operates under a rule that has required risk analysis since 2003. Those two facts sit uncomfortably together, and federal regulators have started saying why. Enforcement has moved from asking whether an organization performed a risk analysis to asking what it did about the findings.
AI Governance in Financial Services: The Use Case Sets the Rules
An AI governance framework tells a financial institution to inventory its systems, assess risk and document decisions. Consumer protection law tells it something different and considerably harder, which is that a model unable to produce specific reasons for a credit denial cannot lawfully be used to make one. That distinction is what separates AI governance in financial services from AI governance generally.