Ordr has launched its new OrdrAI CAASM+ product, built on top of the OrdrAI Asset Intelligence Platform.
For years, Ordr has been solving asset visibility and security challenges in the world's most demanding environments, including healthcare, financial services, and manufacturing.
With comprehensive and accurate visibility into all assets, devices, and users, security teams can confidently reduce the time required to understand, report, react, and remediate security exposure and incidents, while dramatically simplifying collaboration and communication among teams and with business leaders.
OrdrAI CAASM+ goes beyond API-only solutions, utilizing API data collection and proprietary discovery methods with AI/ML classification to give accurate, complete asset visibility, business context, and insights.
Complete asset visibility: Utilizing API integrations and Ordr's Discovery Engine, CAASM+ offers real-time visibility into all devices, cloud assets, applications, and SaaS apps.
Accurate asset visibility: Say goodbye to duplicated and inaccurate inventories.
CAASM+ provides a de-duplicated, correlated, and accurate single source of asset truth, eliminating noise and blind spots such as the 40% of IoT, OT and IoMT devices that are undetected today.
Risk-based vulnerability prioritization: CAASM+ delivers a prioritized list of top vulnerabilities with risk scores, using Ordr's powerful mapping and correlation engine to align security impact with business context.
Enables natural language queries: Ordr simplifies how teams understand their security posture, and how they obtain information to protect their environment, with generative AI powered natural language queries.
Surface security gaps and exposure: CAASM+ automatically surfaces issues on a continuous basis, such as devices running outdated operating systems, or missing EDR or MDM agents.
Automate remediation: Remediation workflows are automated using ITSM, SIEM, and SOC integrations, empowering teams with asset and business data to accelerate incident response.
This Cyber News was published on www.helpnetsecurity.com. Publication date: Tue, 19 Mar 2024 15:13:06 +0000