Question: I need a tool that can detect and respond to attacks on my cloud native applications in real-time, can you suggest one?

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Vectra AI

If you need a system to find and respond to cloud native application attacks in real time, Vectra AI is worth a look. It combines AI-powered Attack Signal Intelligence to reduce cyber risk and increase the efficiency of your security operations center (SOC) in hybrid cloud environments. The system spans public cloud (AWS and other cloud providers), SaaS applications, network and endpoint security, with continuous monitoring and managed extended detection and response services.

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Darktrace

Another contender is Darktrace, which uses Self-Learning AI to detect and respond to in-progress cyber attacks in real time. It offers real-time threat detection, contextual understanding, threat correlation, automated response and native visibility into clouds, devices, communications and applications. Darktrace is flexible and scalable, suitable for companies of all sizes, and can be used across a broad range of industries.

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CrowdStrike

CrowdStrike is another contender, with a cloud-native cybersecurity platform designed to offer more advanced protection for endpoints, cloud workloads, identities and data. It includes real-time identity protection, next-gen SIEM for full threat visibility, and a generative AI security analyst. CrowdStrike's platform has received high marks in cybersecurity incident response, cloud workload security and endpoint protection from industry analysts like Gartner and Forrester.

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Aqua

For a more focused cloud native security approach, Aqua offers a full cloud native security platform that integrates with container foundations like Kubernetes and Docker. It protects cloud native applications through the software development lifecycle with features like event-based scanning, genAI security and automated devsecops. Aqua supports a variety of environments, including AWS, Google Cloud and Azure.

Additional AI Projects

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SentinelOne

Unifies endpoint, cloud, identity, and data security through a single platform, providing real-time insights and streamlined cybersecurity experience.

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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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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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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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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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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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Splunk

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

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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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Rubrik

Automates data protection across enterprise, cloud, and SaaS applications, providing rapid recovery and threat detection with machine learning-powered analytics.

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Forescout

Automates cybersecurity across all connected assets, providing real-time visibility, risk management, and threat response through converged platform features.

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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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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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Censys

Combines broadest internet intelligence with real-time context to identify and eliminate exposure, providing a detailed view of asset connections and threat details.

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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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Data Theorem

Continuously discover and protect mobile, web, API, and cloud assets with automated hacking and real-time active defense, ensuring comprehensive application security.

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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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Lumu

Automates 24/7 incident response with AI-driven decision making, integrating with existing cybersecurity tools for efficient threat detection and response.