SOC Insights

  VulnCheck Canary Intelligenc e has been launched by the exploit-intelligence company to give security teams verified, real-time proof of active exploitation from globally deployed, intentionally vulnerable systems. Unlike traditional honeypots or second-hand threat reports, each event captured by the canaries includes authenticated details: the attacker’s source IP, the targeted CVE, and the exact payload used. Why Canary Intelligence Brings a New Level of Confidence Canary Intelligence replaces speculation with ground-truth telemetry . By deploying real vulnerable systems (“canaries”) across the internet, VulnCheck observes and validates attacker behavior in the wild giving defenders direct insight into what is actually being exploited, who is doing it, and how. According to Jacob Baines, CTO at VulnCheck, this verified data enables prioritized remediation based on real-world activity not theoretical risk scores. Key Features & Capabilities Deep Attribution: Correlates ...

  Deskpro Private , a secure help-desk software platform enhanced with private AI support, has been launched by Deskpro to enable organizations in regulated industries such as financial services, healthcare, government and aerospace to deploy AI in their support operations without compromising on security, compliance or data sovereignty . Why Deskpro Private Matters: Bridging AI and Compliance Many enterprises have faced a difficult choice: either adopt AI-driven help desk tools at the cost of sending data through public cloud AI models, or stick with traditional solutions in order to meet stringent regulatory standards. With Deskpro Private, those constraining tradeoffs are addressed; the platform supports deployment in private cloud , on-premise , VPC , or even sovereign cloud infrastructures. This means sensitive help-desk data remains within the organization's secure perimeter, while still enabling powerful AI features powered by an AI model of the customer’s choice , includ...

  In the latest release of the enterprise platform, Red Hat has delivered significant capabilities with Red Hat OpenShift 4.20, designed to unify infrastructure from virtual machines to AI workloads , reinforce security, and ease hybrid-cloud and edge deployments. What 4.20 Offers AI-Workload Acceleration: The release includes the LeaderWorkerSet API and Image Volume Source capabilities to simplify large-scale AI model deployment and inference. Enhanced Security: Features such as initial post-quantum cryptography support for mTLS, expanded zero-trust workload identity, External Secrets Operator and improved control-plane protection. Unified VM + Container Infrastructure: With OpenShift Virtualization enhancements including CPU-load-aware rebalancing, Arm architecture support and migration toolkits organisations can run VMs alongside cloud-native workloads on one platform. Hybrid & Sovereign-Cloud Flexibility: Designed to help enterprises maintain data sovereignty and control wh...

  The Keyfactor agentic AI security solution introduces a new cryptographic identity layer for autonomous AI agents, enabling enterprises to issue unique X.509 certificates to each agent and apply Zero Trust controls across agent-to-system interactions. As organizations deploy AI agents at scale running workflows, interacting with APIs and making autonomous decisions the identity gap becomes a key vulnerability. The new framework from Keyfactor responds to this by issuing verifiable digital identities to agents, ensuring accountability, strong authentication and auditability. Why Agentic AI Demands Strong Identity Controls Autonomous or “agentic” AI systems differ fundamentally from static software: they act, interact and adapt across cloud, API and enterprise systems. Traditional authentication methods static API keys or shared secrets fail to provide non-repudiability or granular oversight. Keyfactor’s new approach treats each AI agent as a first-class identity: Each agent recei...