Top Darktrace Alternatives For AI-Driven Threat Detection

Darktrace made the case that machine learning could learn what normal looks like on a network and flag what does not. Its product builds a “pattern of life” for each device and user, and the company was taken private by Thoma Bravo in October 2024. Many security teams now run some form of AI-driven network detection, and when contracts come up for renewal, they compare Darktrace with a growing field of network detection and response (NDR) and AI threat detection platforms.

The reasons vary. Some teams want detections that explain themselves with packet-level evidence. Others need deep integration with the firewall or switch fabric they already own, an on-premises deployment for operational technology, or a platform designed for MSSPs. And attackers using AI to move faster inside networks make lateral movement and identity abuse the detections that matter most, since those are exactly what endpoint agents can miss.

The ten vendors below all offer AI or machine learning based threat detection on network, identity or cloud traffic. Each was checked against its own product pages and company information.

Darktrace Alternatives At A Glance

Company	Headquarters	Best For	Core Services
Vectra AI	San Jose, USA	Hybrid attack detection across network, identity and cloud	AI-driven NDR, identity threat detection, MXDR
ExtraHop	Seattle, USA	Teams needing real-time decryption and packet forensics	RevealX NDR, NPM, IDS, packet forensics
Corelight	San Francisco, USA	SOCs that want open, evidence-based network data	Open NDR, Zeek and Suricata, AI triage, Smart PCAP
Arista Networks	Santa Clara, USA	Arista switch customers and zero trust programs	Arista NDR, AVA AI, EntityIQ
Fortinet	Sunnyvale, USA	FortiGate customers and air-gapped OT sites	FortiNDR Cloud, on-prem FortiNDR, FortiAI-Assist
Cisco	San Jose, USA	Cisco network shops using ISE and Splunk	Secure Network Analytics, Cisco XDR integration
Stellar Cyber	San Jose, USA	MSSPs and lean SOCs wanting one AI-driven platform	Open XDR, NDR, AI SIEM, UEBA, ITDR
Exeon Analytics	Zurich, Switzerland	Buyers wanting sensorless, metadata-only NDR	Exeon.NDR, ML anomaly detection
Gatewatcher	La Defense, France	European organizations wanting a sovereign NDR	NDR platform, Deep Visibility, Decision Center
Lumu Technologies	Doral, USA	Mid-market teams and MSPs wanting compromise assessment	Continuous Compromise Assessment, NDR, Autopilot

Best Darktrace Alternatives For 2027

1. Vectra AI — Attack Signal Intelligence Across Network, Identity And Cloud

Vectra AI, headquartered in San Jose, California, is one of the closest like-for-like alternatives to Darktrace, since both companies built their products on AI-driven detection rather than signatures. The Vectra AI Platform covers network traffic, identity attacks and account takeover, multi-cloud environments, and SaaS, with a focus on detecting lateral movement and threats that endpoint tools miss. It suits hybrid organizations where attackers are as likely to abuse an Entra ID account as a server.

What stands out is Attack Signal Intelligence, Vectra’s approach to ranking detections in real time so analysts see where a compromise is active now rather than a long list of anomalies. The company cites 39 AI threat detection patents. Vectra also sells managed extended detection and response (MXDR), which helps teams without overnight coverage. Ask for a proof of value on your own traffic, since alert fidelity is the claim that matters most and is easiest to test.

2. ExtraHop — RevealX NDR With Real-Time Decryption And Packet Forensics

ExtraHop, founded in 2007 and headquartered in Seattle, sells RevealX, a platform that combines NDR, network performance monitoring, intrusion detection and packet forensics. It decrypts encrypted traffic and parses hundreds of protocols in real time, then uses machine learning to baseline normal behavior and flag anomalies. It suits organizations where the security and network operations teams want to work from the same data.

The differentiator is evidence. Because RevealX keeps packet-level forensics alongside its detections, analysts can confirm what happened rather than trusting an anomaly score. That matters for incident response and for proving to auditors what data left the network. RevealX runs across cloud, on-premises and hybrid environments and scales to multi-hundred-gigabit speeds, with a 400 Gbps sensor announced. It is a strong fit for large data centers and companies with heavy east-west traffic.

3. Corelight — Open NDR Built On Zeek With Agentic Triage

Corelight lists its first office in San Francisco and builds its Open NDR platform on Zeek, the open-source network monitoring standard, with Suricata-based intrusion detection as a module. The platform combines machine learning, behavioral and signature-based detection, each with explanations, and adds AI-driven investigation through its Investigator component with agentic triage. It suits SOCs that want network evidence in an open format they can feed into any SIEM or data lake.

What stands out is the evidence-first philosophy. Instead of a black-box score, Corelight produces structured Zeek logs that threat hunters already know how to query, plus Smart PCAP for targeted packet capture and file analysis. Fleet Manager handles sensors and ML detection rollout centrally, and deployment can be on-premises, SaaS, hybrid or multi-cloud. For teams that have outgrown a closed AI model and want to see exactly why something fired, Corelight is a natural choice.

4. Arista Networks — Arista NDR With EntityIQ Knowledge Graph

Arista Networks, headquartered in Santa Clara, California, acquired Awake Security in 2020 and now sells Arista NDR, built on zero trust principles from NIST 800-207. Its AVA sensors collect traffic from the core, perimeter, IoT and cloud and can run as software on an Arista switch, on standalone hardware, or in virtual and cloud form, with no endpoint agents. It suits companies already running Arista switching, and zero trust programs that need visibility into unmanaged devices.

The standout is EntityIQ, a security knowledge graph that profiles devices, users and applications, tracks their relationships and groups similar entities by behavioral fingerprint. AVA Nucleus applies machine learning and human expertise to hunt for attacker techniques, and AVA AI answers analyst-style questions from raw packets and device state. Arista also offers Adversarial Modeling, a building-block language for writing custom detections, which helps mature teams encode threats specific to their industry.

5. Fortinet — FortiNDR In SaaS Or Air-Gapped On-Prem Form

Fortinet, headquartered in Sunnyvale, California, sells FortiNDR as part of its SecOps platform. It analyzes network traffic without endpoint agents to spot lateral movement, data exfiltration and privilege escalation, with detections refined by FortiGuard Labs. FortiAI-Assist lets analysts query in natural language rather than a complex query language. It suits companies standardized on FortiGate firewalls and sites that cannot send data to the cloud.

What sets it apart is deployment choice. FortiNDR Cloud is SaaS with data storage in the US, Europe or APAC and 365 days of retention, while on-premises FortiNDR keeps everything local and suits operational technology and air-gapped environments. Hardware and virtual sensors cover data centers and major public clouds. Integration with FortiGate lets analysts block affected IP addresses from the same workflow, and the Fortinet Security Automation Service connects FortiNDR Cloud to more than 500 third-party connectors and playbooks.

6. Cisco — Secure Network Analytics With ISE And Splunk Integration

Cisco, headquartered in San Jose, California, sells Secure Network Analytics, formerly Stealthwatch. It uses telemetry already present in your network, along with firewall logs, and applies machine learning and behavioral modeling to detect unknown malware, insider threats such as data exfiltration, and policy violations. Alerts are enriched with user, device, location, time and application context. It suits organizations with large Cisco networks that want detection without deploying many new sensors.

The strength is integration with the rest of the Cisco estate. Secure Network Analytics connects with Identity Services Engine (ISE) for segmentation policy and access alerts, with Splunk for monitoring and data management, and with Cisco XDR for automated response. Cisco also says it can identify and isolate threats in encrypted traffic without compromising privacy and data integrity. For teams already operating Cisco switching and ISE, this can deliver broad network visibility with less new infrastructure than a standalone NDR deployment.

7. Stellar Cyber — Multi-Layer AI Across Open XDR, NDR And SIEM

Stellar Cyber, based in San Jose, California, combines AI-driven SIEM, NDR including OT coverage, identity threat detection, user and entity behavior analytics and Open XDR in one platform. Its Multi-Layer AI engine supports automated triage, case management, investigation, threat hunting and response automation. It suits lean security teams and MSSPs that want to replace several tools with one console.

The Open XDR approach is the differentiator: Stellar Cyber correlates telemetry from third-party tools, including the EDR you already own, so you are not forced to replace existing products. The platform is multi-tenant and multi-site by design, which is why many MSSPs and MDR providers build SOC-as-a-service offerings on it. Stellar Cyber describes its model as a human-augmented agentic SOC, where AI handles routine decisions with human oversight. For companies weighing Darktrace against a broader SOC platform, it covers more ground in one contract.

8. Exeon Analytics — Sensorless NDR Using Network Metadata Only

Exeon Analytics is a Swiss company based in Zurich. Its Exeon.NDR product analyzes network metadata rather than full packets, which means encrypted traffic does not limit detection and no hardware appliances, sensors or agents are required. It deploys as a virtual machine on-premises, in a private or public cloud, or in an air-gapped environment. It suits organizations with privacy constraints or distributed sites where installing packet sensors is impractical.

What stands out is the two-layer machine learning model. Supervised algorithms provide detection from the first day, while unsupervised algorithms learn your environment over a few days and then surface anomalies specific to it. That gives buyers some of the self-learning behavior they value in Darktrace, with a lighter footprint and European data handling. It is worth shortlisting for banks, healthcare providers and public bodies in Europe that prefer a metadata-based approach.

9. Gatewatcher — French NDR Platform With Decision Center Triage

Gatewatcher is headquartered at Campus Cyber in La Defense, near Paris. Its NDR platform includes sensors, a Detection Center and a Decision Center, plus Deep Visibility and network TAP products. The NDR module aims to give real-time visibility of every asset and activity on the network. It suits European organizations, particularly in France, that prefer a domestic vendor for network monitoring of critical systems.

The Decision Center is the feature to evaluate. Gatewatcher says it cuts noise and speeds up triage, and it supports decisions with or without human intervention, which lets teams choose how much response to automate. The company states it is named in the 2026 Gartner Magic Quadrant for Network Detection and Response. For buyers where vendor nationality and data residency carry weight in procurement, Gatewatcher is a credible European alternative to US and UK platforms.

10. Lumu Technologies — Continuous Compromise Assessment For Mid-Market Teams

Lumu Technologies lists its global headquarters in Doral, Florida. It positions its NDR platform around Continuous Compromise Assessment, using network metadata to show where compromise has actually happened rather than where it might. The platform includes Lumu Defender, Autopilot for autonomous incident management, Archive for log storage, Discover for attack surface assessment and Maltiverse threat intelligence. It suits mid-market companies that want a clear answer to “are we compromised right now” without building a SOC.

What stands out is accessibility. Lumu offers a free compromise assessment to start, integrates with a long list of firewalls, EDR tools and cloud platforms so it can trigger responses through tools you already own, and runs a dedicated program for MSPs and MSSPs. For smaller teams that find full packet-based NDR too heavy, Lumu is a practical way to add AI-assisted network detection on top of existing infrastructure.

How To Choose A Darktrace Alternative

AI threat detection products all promise fewer, better alerts. These questions help you test that promise against your environment.

Can Analysts See Why A Detection Fired?

Explainability matters during an incident. Prefer tools that show the underlying packets, logs or entity behavior behind each alert, so your team can confirm a threat quickly and defend decisions afterward.

Do We Need Packets, Metadata Or Both?

Full packet analysis gives richer forensics but needs sensors and storage. Metadata-based tools deploy faster and raise fewer privacy concerns. Match the approach to your sites, bandwidth and regulatory limits.

How Does It Fit Our Existing Stack?

Check native integrations with your firewall, EDR, SIEM and identity provider. Response actions are only useful if the NDR can trigger them through tools you already run.

Who Will Watch The Alerts?

If you lack round-the-clock staff, look for vendors with managed services or pair the tool with a provider from our list of managed detection and response providers.

How Will We Prove It Works?

Run a proof of value on your own traffic and test it with simulated attacks. Our list of breach and attack simulation platforms covers tools that make this measurable.

Conclusion

Darktrace is far from the only option for AI-driven threat detection. Vectra AI is one of the closest like-for-like alternatives, ExtraHop and Corelight lead on evidence and forensics, Arista, Fortinet and Cisco make sense when you already run their networks, and Stellar Cyber suits teams wanting one AI-driven SOC platform. Exeon, Gatewatcher and Lumu offer lighter or regionally focused approaches. Start with the attack paths that worry you most, test on your own traffic, and read our overview of AI-powered threats to cybersecurity to frame what the tool needs to catch.