Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

tanium

Automated vulnerability remediation: A governance, validation, and rollout guide for enterprise teams

Jun 1, 2026 By Tanium In Tanium
Automated vulnerability remediation uses policy-driven workflows to execute approved remediation actions, including patch deployment, software updates, and configuration changes, consistently across managed assets. Within a broader vulnerability management program, it helps teams close the gap between identifying an exposure and safely resolving it at scale.
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Arctic Wolf

Arctic Wolf Product Updates: May 2026

Jun 1, 2026 By Arctic Wolf In Arctic Wolf
Security teams are being asked to operate at machine speed while still making decisions they can trust. Attackers move faster. Exposure changes continuously. Manual workflows struggle to keep up. Following the recent announcement of the Aurora Superintelligence Platform and Aurora Agentic SOC, Arctic Wolf continues to advance its portfolio with new capabilities that help teams see risk clearly, prioritize what matters, and act with confidence.
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How one weak link destroys entire companies #businessrisk #cybersecurity #shorts

Jun 1, 2026 By Razorwire Cybersecurity In Razorthorn
This episode looks at how supplier cyber posture affects your business, why spreadsheets and questionnaires no longer cut it, and how AI is making third party risk harder to see and faster to spread. It covers resilience, shadow AI, vendor collapse, supply chain impact and the reality that you are only as strong as your weakest link.
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Tanium Atlas: Tech Talks Episode #163

Jun 1, 2026 By Tanium In Tanium
Meet Tanium Atlas: the AI-first experience that turns a natural language prompt into real endpoint action — no query syntax or module-hopping needed. One interface, powered by the Tanium platform. Let's go!! We're walking through Tanium Atlas—the new AI-driven interface that replaces fixed-module consoles with dynamic, natural language-powered pages. In this episode, you’ll learn: Whether you're an IT admin managing 100,000+ endpoints or a security operator racing to respond to the next CVE, Atlas helps you move faster - with confidence.
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mend

Miasma: Red Hat Cloud Services npm Packages Hit by a Mini Shai-Hulud-Style Campaign

Jun 1, 2026 By Alina Podoba In Mend
On June 1, 2026, multiple npm packages in the @redhat-cloud-services scope were published with malicious versions. Each tarball ships a 4.1 MB obfuscated JavaScript file added to package.json as a preinstall hook. The hook runs a multi-stage loader that ends in a Bun-executed credential stealer hitting AWS, Azure, GCP, HashiCorp Vault, Kubernetes, GitHub Actions OIDC, npm, Bitwarden, and 1Password.
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armo

AI-SPM Tools for Attack Detection: Where Posture Meets Runtime

Jun 1, 2026 By Shauli Rozen In ARMO
Every AI-SPM tool runs posture and detection with a single arrow: runtime evidence flowing back to rank posture findings. The load-bearing direction runs the opposite way, and almost nothing runs it — posture flowing forward to tell the detection layer what an attack even looks like.
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armo

What to Log for AI Agent Activity: The Minimum Viable Audit Trail

Jun 1, 2026 By Yossi Ben Naim In ARMO
The first time a security team needs an AI agent audit trail is usually 72 hours after the agent has already done something it shouldn’t have. Detection fires. Someone pulls every relevant log from the SIEM (Kubernetes audit, container runtime, cloud audit) and three hours in realizes the events that actually matter were never written. Which prompt triggered the tool call. Which parameters the agent passed. Which output left the cluster.
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armo

Why Your Detection Latency Budget Determines Blast Radius

Jun 1, 2026 By Shauli Rozen In ARMO
Most teams buy detection on a single number. The datasheet says “millisecond detection,” the proof-of-concept fires the instant a test payload lands, and the box gets checked. Then a real AI agent incident runs in production, and the postmortem shows the attack completed its objective well before anyone contained it, even though the alert, technically, fired in milliseconds. The number was real. It just measured the wrong thing.
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