Question: I need a solution that uses AI and machine learning to quickly identify and resolve cloud-native attacks and problems, can you suggest one?

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SentinelOne

Another top contender is SentinelOne. This AI-powered cybersecurity platform offers a single solution for endpoint, cloud, identity and data protection. It includes next-gen EPP, EDR and XDR tools, real-time cloud workload protection and identity threat detection and response. Plus, it offers 24/7 threat hunting and managed services. It's a good option for organizations that need a more comprehensive and effective cybersecurity solution.

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Aqua

If you're more concerned with cloud-native application security, Aqua offers a full cloud native security platform that works with a variety of container platforms like Kubernetes, Docker and OpenShift. It offers event-based scanning, genAI security, automated devsecops and container security, and works in a variety of cloud environments. Aqua's security approach spans the software development life cycle, making it a good option for protecting cloud native applications.

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Darktrace

For real-time threat detection and response, Darktrace uses Self-Learning AI to detect and respond to cyber attacks, including ransomware and email phishing. It offers real-time threat detection, contextual understanding and automated response across cloud, email, endpoint and network security. Darktrace works alongside existing tools to provide another layer of protection, helping businesses stay resilient to cyber attacks and reduce risk.

Additional AI Projects

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CrowdStrike

Unifies endpoint, cloud, identity, and data protection with AI-enhanced security analytics and automation to prevent breaches and drive business efficiency.

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Vectra AI

Spots and responds to threats in real-time with AI-powered Attack Signal Intelligence, cutting alert noise by 80% and covering 90% of hybrid cloud MITRE ATT&CK techniques.

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Cybereason

Unifies multiple layers of protection, including NGAV, EDR, and MDR, to provide a unified view of malicious operations and automate response to attacks.

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Trellix

Empowers threat detection and response with AI-infused technologies, reducing time to detect and respond to ransomware attacks and improving security posture.

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Check Point

Comprehensive protection across networks, clouds, and workspaces with AI-powered threat prevention, machine learning, and zero-trust security for accurate prevention in under two seconds.

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Trend Micro

Integrates attack surface management, XDR, cloud security, and network security to provide comprehensive threat detection and response across multiple environments.

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InsightIDR

Elastic, scalable security for hybrid environments, accelerating digital transformation and agile development.

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Expel

Rapidly detects and responds to security incidents with a 23-minute mean-time-to-respond, leveraging AI to eliminate false positives and provide remediation actions.

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Tenable

Unifies attack surface visibility, providing prioritized vulnerability management and remediation guidance to mitigate cyber threats and optimize business performance.

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ServiceNow Cloud Observability

Uses AI to spot problems and respond to changes in cloud-native and monolithic applications, improving uptime and reducing mean time to resolution.

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Splunk

Unify security and observability with AI-driven insights to accelerate digital transformation and resilience.

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Cylance AI

Spots and blocks threats in real-time, predicting and protecting against zero-day attacks with machine learning and AI-driven threat detection.

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Varonis

Continuously discovers and classifies critical data, removes exposures, and stops threats in real-time using AI-powered automation.

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CyberArk

Secure access to any device, anywhere, with AI-driven identity security and access management, accelerating security across the entire enterprise.

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Falcon LogScale

Real-time search and alerting enable swift threat identification and response, while index-free architecture supports petabyte-scale security logging with no data loss or performance impact.

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Flashpoint

Delivers timely, relevant, and actionable threat intelligence to empower organizations to lower risk and improve protection across multiple security teams.

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LimaCharlie

Unifies endpoint security, observability, detection, and response, automating security operations and bridging gaps between disparate tools.

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BrightCloud

Combines machine learning-powered threat detection with risk assessment, providing accurate and timely threat intelligence to protect against malicious URLs, IPs, files, and apps.

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Lookout

Identifies and responds to breaches in real-time with AI-driven threat intelligence, providing end-to-end security and visibility across mobile, cloud, and web environments.

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Cato

Cato SASE Cloud converges SD-WAN, security, and global backbone into a single, cloud-native service.

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Netcraft

Automatically detects and disrupts cyber threats, including phishing, fraud, and scams, with 24/7 monitoring and advanced machine learning algorithms.