NEWS
Netskope and Egress launch ‘ transformational ’ threat detection partnership
Netskope and Egress have announced a partnership to enhance behavioral-based threat detection and response – transforming the way organizations manage human risk in cloud email . The partnership enables Egress to aggregate Netskope ’ s User Confidence Index ( UCI ) as part of its Human Risk Management solution .
Netskope ’ s AI / ML-derived UCI output is combined with threat intelligence sourced from the Egress platform and an organization ’ s wider cybersecurity ecosystem to generate holistic human risk scores for each individual user .
“( They ) can now enhance their human risk scoring using Netskope One insights and continuously extend their behavioral-based threat detection and response across their cloud environments .”
Tony Pepper , CEO , Egress , said : “ By combining the deep behavioral analytics generated by both Netskope and Egress , joint customers will benefit from unprecedented visibility into human risk and automated defenses that eliminate advanced email threats , tailored to each individual employee .”
Netskope ’ s AI / ML capabilities provide per-user behavior analytics that correlate multiple , disparate activities to detect the anomalies that indicate insider threats , compromised accounts and devices , lateral movement , data exfiltration and advanced persistent threats across cloud-hosted platforms and applications . By consuming the UCI risk score through native API integration , Egress will now leverage Netskope ’ s live behavior analytics as part of its adaptive security architecture , which automates personalized inbound and outbound email security controls based on real-time human risk telemetry .
David Willis , Vice President , Technology Alliances , Netskope , said the announcement marks an ‘ exciting development ’ for joint Netskope and Egress customers .
data . world launches its AI Context Engine
data . world has launched its groundbreaking AI Context Engine – intended to assist teams in building AI-powered applications with data and organizational knowledge .
Pitched as pioneering , the new platform is designed to securely unlock vast amounts of organizational data for teams building and using chat interfaces with Large Language Models ( LLMs ).
The platform is said by data . world to be the first solution of its kind to give teams fast , trusted access to company knowledge .
Its launch marks a significant milestone in data . world ’ s mission to help teams tap into the full potential of data .
The data . world team partnered with customers pursuing AI initiatives to help them leverage data and organizational knowledge with LLMs .
These customers have built new AI-powered tools and products with data . world at their core . The AI Context Engine enables trusted conversations with company data and knowledge by using them as context for generative AI via the knowledge graph-powered data catalog and governance platform .
The platform can also help explain an LLM ’ s path to query response – and which approved data sources and terms were used .
“ Our AI Context Engine meets the urgent challenge facing data teams and decision makers who depend on data , by enabling data accessibility , governance , and explainability in a way that wasn ’ t possible before ,” said Bryon Jacob , data . world co-founder and CTO .
Using the data captured in the knowledge graph , AI-powered applications can answer team questions with increased accuracy .
“ We ’ re seeding a culture where data-driven decision-making is the norm .”
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