All news with #outpost24 tag

When Cybersecurity Theory Meets Operational Reality

🧭 Security teams often implement best practices but face operational gaps: undocumented cloud assets, interrupted scan schedules, noisy threat feeds and endpoints left unmonitored. The piece explains how these real‑world failures turn ideal controls into misleading dashboards and alert fatigue. It warns that stitching together point products multiplies complexity and slows response, and recommends a unified approach that correlates EASM and DRP signals so teams can prioritize remediation with context, citing Outpost24 and its CompassDRP solution as an example.

Hidden Costs of Penetration Testing and Alternatives

🛡️ Penetration testing remains a critical control, but the classic, one-size-fits-all approach can create hidden financial and operational burdens. Administrative overheads, complex scoping decisions and indirect remediation work all add time and cost while risking scope creep and disruption. The article recommends flexible, consumption-based models—such as PTaaS and Outpost24's CyberFlex—to improve coverage, transparency and ROI.

How External Attack Surface Management Reduces Risk

🔎 External Attack Surface Management (EASM) continuously discovers, inventories, and monitors internet‑facing assets — domains, subdomains, cloud workloads, IPs, and third‑party exposures — to reveal shadow IT and misconfigurations before attackers can exploit them. EASM platforms deliver automated discovery, continuous monitoring, and risk‑based prioritization so teams can focus remediation on high‑impact threats. Integrated workflows and ticketing accelerate fixes and improve cross‑team visibility.

Detecting and Preventing Data Leaks Before Disaster

🔒 In January 2025 Wiz Research discovered a publicly accessible ClickHouse database belonging to Chinese AI firm DeepSeek, exposing over one million log streams that included chat histories and secret keys. The issue was reported and quickly closed, but the event highlights how misconfigurations and human error can expose sensitive data. To reduce risk, organisations should adopt least-privilege access, deploy DLP solutions, classify high-risk data and provide ongoing staff training.