Deep Instinct vs AT&T Cybersecurity

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Our analysts compared Deep Instinct vs AT&T Cybersecurity based on data from our 400+ point analysis of Endpoint Security Software, user reviews and our own crowdsourced data from our free software selection platform.

Deep Instinct Software Tool
AT&T Cybersecurity Software Tool

Product Basics

Deep Instinct is an AI-based platform that protects against malware and ransomware. It leverages a deep learning cybersecurity framework to combat vulnerabilities from any data source. It’s powered by a deep neural network brain to proactively and predictively secure endpoints, servers and mobile devices. It prevents zero-day and APT attacks in real time with minimum human intervention, improving accuracy.
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AT&T Cybersecurity is a managed security service provider that helps its customers protect digital assets, identify cyber threats and drive efficiency into security operations. It provides visibility throughout endpoint, on-premise and multi-cloud environments and supports customer collaboration to expedite investigations and response.

Users can safeguard their businesses and networks through cybersecurity consulting services, managed security services, endpoint security, network security and threat detection and response capabilities.
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$40 Annually
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Tailored to your specific needs
$1,695 Annually
Get a free price quote
Tailored to your specific needs
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Windows
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Linux
Android
Chromebook
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Linux
Android
Chromebook
Cloud
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Mobile
Cloud
On-Premise
Mobile

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
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Videos
Webinars
Email
Phone
Chat
FAQ
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Knowledge Base
24/7 Live Support
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24/7 Live Support

Product Insights

  • Customize Security: Prevent and detect malicious files at initial contact with the device or scan files on-demand based on organizational requirements. 
  • Counter Fileless Attacks: Reduces the attack surface by preventing fileless attack vectors like dual-use tools, script-based attacks and code injection techniques. 
  • Enhance Protection: Add a layer of endpoint protection based on file reputation that includes benign and known malicious files. Blacklist files according to loC lists and whitelist false positives. Isolates harmful files and terminates them remotely. 
  • Increase Accuracy: Leverage deep static analysis that uses deep learning to improve accuracy, increase detection rates and reduce false positives 
  • Centralized Management: Monitor and analyze all risks from a single platform. Leverage business intelligence to correlate events,reducing inspection efforts. 
  • Threat Analysis: Analyzes static automated threats, screenshots and network threats. Generate detailed reports covering statistics, highlights and insights on malware. 
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  • Centralized Security Monitoring: Offers endpoint detection and response for advanced threat detection, incident response and compliance management. Centralizes and automates threat hunting to detect and respond to attacks instantly. Keep defenses updated as threats evolve with threat intelligence. 
  • Secure Web Gateway: Filters and inspects outbound traffic to restrict users from accessing malicious content or sites non-compliant with company policies. Aggregates information in a single dashboard to centralize user and device activities, simplifying security policy management and providing control over user access to cloud-based applications. 
  • Essential Security Solutions: Unifies SIEM and essential security solutions for complete security in a single platform. Offers features like log and event management, event correlation and reporting. Built-in additional resources include continuous threat intelligence and a unified management console for security monitoring technologies. 
  • Automated Threat Detection: Offers advanced threat detection to assess threats with automated alert prioritization. A consolidated view of vulnerabilities and malicious activities helps search and analyze threats conveniently. Aggregate and correlate events from all devices, servers and applications and monitor user and administrator activities to eliminate security blind spots. 
  • Advanced Technologies: Leverages threat intelligence to identify the latest threats and gain information about threat vectors, attacker methods and effective defenses. Extends security programs through real-time botnet, advanced persistent threat and data exfiltration detection, command-and-control traffic identification and dynamic incident response and investigation guidance. 
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  • Malware Classification: Deploys an autonomous cyber security, malware classification module to classify known and unknown malware into seven categories. 
  • Root Cause Analysis: Performs root cause analysis on detected threats to recognize the attack chain. 
  • Neural Network: Secure mobile, endpoints, servers, network perimeters and VDIs from sophisticated threats with a multi-layered security architecture. 
  • Intelligent Defense System: Continuously improves security to counter ever-evolving cyber threats by producing a D-Brain prediction model and distributing it to D-Clients 
  • Prevents Attack Vectors: Scans executable and non-executable files to prevent file-based malware, deploys endpoint protection software to avert spyware, implements antivirus endpoint protection to counter fileless attack vectors and mitigates ransomware using static/behavioral analysis. 
  • End-to-End Mobile Protection: Protects mobile devices from: 
    •  Malicious attacks on WiFi networks, including MitM, SSL MitM, HOSTS file modification and certificate abuse. 
    •  Attacks targeted to steal private data or money, such as ransomware, backdoors, droppers, banking trojans, botnets, network redirectors, infostealers, rooters and more. 
    •  Attackers with physical access to a device capable of exploiting sensitive data. Enforces different configurations to reduce the attack surface. 
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  • Asset Discovery: Provides complete visibility into network devices by combining core discovery and inventory technologies. Scans the entire setup to recognize devices, operating systems, software installed and running services. Evaluates network communications and identifies asset information using passive network monitoring techniques. Collects data from cloud environments and detects threats by utilizing native cloud services like Azure Insights, AWS and CloudWatch. 
  • Vulnerability Assessment: Find weak spots in critical assets and take corrective actions through a network vulnerability assessment. Continuous scanning defends cloud, on-premise and hybrid networks against the evolving threat landscape. Supports regularly scheduled auto-scanning and authenticated scanning. Discover vulnerabilities at greater risk and review their history and patch information to remediate them faster. 
  • Converged Network and Security: Delivers secure access service edge (SASE) solutions by combining cybersecurity capabilities, managed SD-WAN services and 5G technology. Empowers administrators to apply unified policies virtually and provide users with low-latency access to apps hosted in the cloud or at the data center. Digital transformation with unified visibility and protection ensures improved network performance, lower cost and complexity, high-security efficacy and better user experience. 
  • Intrusion Detection Systems: Detects threats using a built-in intrusion detection software that includes cloud, host and network intrusion detection capabilities. Assess threat intents and strategies through kill chain taxonomy. Uncover threat and vulnerability details in a single console via robust analytics. 
  • Zero Trust Architecture: Evaluate and understand current maturity in achieving zero trust state via zero trust readiness assessment to minimize data breaches and uncover functional, organizational and technological gaps. Provides organizations with on-site discovery workshops, zero trust capabilities assessment, maturity assessment and strategies and roadmaps to attain next-generation environments. 
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Product Ranking

#60

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Endpoint Security Software

#67

among all
Endpoint Security Software

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Synopsis of User Ratings and Reviews

Pre-Execution Threat Prevention: Deep Instinct excels at stopping threats *before* they can execute on your systems, which is a significant advantage in today's threat landscape.
Lightweight Agent: The software has minimal impact on system performance, ensuring your endpoints continue to run smoothly.
High Accuracy and Low False Positives: Deep Instinct boasts a low false-positive rate, freeing up your IT team from chasing down false alarms.
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Proactive Threat Prevention: Employs AI-driven threat detection to stop attacks before they can cause damage, rather than just reacting to threats after they have already occurred.
Simplified Security Management: Consolidates multiple security functions into a single agent, streamlining endpoint security management and reducing complexity for IT teams.
24/7 Threat Monitoring and Response: Provides continuous monitoring and response capabilities through the AT&T Security Operations Center (SOC), ensuring that threats are addressed promptly, regardless of the time of day or night.
Comprehensive Visibility: Offers a unified view of endpoint security across on-premises and cloud environments, enabling organizations to detect and respond to threats more effectively.
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Reporting Features: Users have expressed a desire for more robust reporting features within Deep Instinct.
Remote Deployment: Deploying Deep Instinct to remote clients without a VPN can be challenging.
Resource Intensive Features: Certain features within Deep Instinct can be resource-heavy, potentially impacting system performance.
High Price Point: Deep Instinct's pricing is considered higher compared to some other similar endpoint security products.
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Pricing Complexity: AT&T Cybersecurity's pricing structure for endpoint security can be difficult to navigate, often requiring custom quotes and making it hard to budget for.
Integration Challenges: Some users report difficulties integrating AT&T Cybersecurity's endpoint solutions with existing IT infrastructure, leading to compatibility headaches.
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Is Deep Instinct the deep end of endpoint security, or does it just make a big splash? Users rave about Deep Instinct's speed and efficiency, particularly its low false-positive rate. Unlike traditional endpoint detection and response (EDR) solutions that react to threats, Deep Instinct leverages deep learning to proactively prevent threats before they can execute. This proactive approach is a game-changer, saving security teams valuable time and resources by minimizing the need to chase down false alarms. Imagine a security guard who can identify and stop a potential threat before it even enters the building, rather than just reacting after an incident occurs. That's the power of Deep Instinct's preventative approach.However, no solution is perfect. Some users point out that while Deep Instinct excels at prevention, its logging capabilities could be more robust. More detailed logs would be invaluable for forensic analysis and identifying the root cause of a security event. Think of it like this: Deep Instinct is like a highly skilled surgeon who can expertly remove a tumor but doesn't keep detailed medical records. While the surgery itself is successful, the lack of comprehensive documentation could be problematic down the line.Overall, Deep Instinct is a powerful tool for organizations looking to level up their endpoint security. Its exceptional prevention capabilities, speed, and efficiency make it a top contender in the cybersecurity arena. However, the need for improved logging features shouldn't be overlooked. Deep Instinct is best suited for organizations that prioritize proactive threat prevention and are willing to trade off some logging detail for unparalleled protection. It's like having an elite security force guarding your digital assets, ensuring that threats are neutralized before they can cause any damage.

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Is AT&T Cybersecurity the top choice for endpoint security? User reviews from the past year suggest that AT&T Cybersecurity, particularly its USM Anywhere platform, offers a robust suite of security tools that excel in unifying protection across diverse environments. Users praise its comprehensive package, encompassing SIEM, vulnerability scanning, and response capabilities, making it a one-stop shop for threat detection and remediation. The platform's strength lies in its ability to centralize security monitoring, especially for geographically dispersed endpoints, a crucial factor in today's remote-working landscape. Furthermore, its integration with third-party tools for data collection and threat response enhances its versatility. However, some users find the pricing to be a significant drawback, particularly for organizations with limited budgets. Additionally, the comprehensiveness of the package, while a strength, can also be a weakness, as not all users require every tool offered, potentially leading to unused features and inflated costs. A key differentiator for AT&T Cybersecurity is its integration with Alien Labs' threat intelligence, providing users with access to cutting-edge research and insights. This integration, coupled with its compatibility with OTX, a leading threat intelligence sharing platform, ensures users are equipped with the latest information to combat evolving threats. This proactive approach to threat intelligence is invaluable in today's dynamic threat landscape, where staying ahead of the curve is paramount. Overall, AT&T Cybersecurity emerges as a suitable choice for mid-market and enterprise customers seeking a comprehensive and robust endpoint security solution. Its unified approach, threat intelligence capabilities, and integration options make it a powerful tool for organizations with the resources to invest in a premium security solution. However, smaller businesses or those with budget constraints may find the pricing prohibitive and might consider alternative solutions offering more targeted features.

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