Can I use Vectra AI and Deep Instinct together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Vectra AI and Deep Instinct with other tools and save your AI toolkit.

Does Vectra AI or Deep Instinct have a free plan?

Vectra AI is a paid tool. Deep Instinct is a paid tool. Always verify current pricing directly with the vendor.

Vectra AI vs Deep Instinct

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated June 2026

Vectra AI

Vectra AI, Inc.

Stop modern cyberattacks across network, identity, and cloud with AI speed.

0.0(0)

ENTERPRISE

83% data quality

Deep Instinct

Prevent malware, ransomware, and AI-generated attacks everywhere your data exists.

0.0(0)

ENTERPRISE

85% data quality

Trust & Reliability

Vectra AI

Users:1K-10K

Customers (per vendor):Accenture, American University, Blackstone +5

GDPR

Deep Instinct

Too Close to Call

Vectra AI (7.3) vs Deep Instinct (7.0) — difference of 0.3 points

AI Comparison Summary

Vectra AI

7.3

avg score

Deep Instinct

7.0

avg score

Vectra AI leads overall.

Based on 6 dimensions

How scores are calculated

Overall Winner

Vectra AI

7.3 / 10

Vectra AI

Best For

Detecting advanced persistent threats for large enterprises

Reducing alert fatigue for SOC teams

Securing hybrid and multi-cloud environments

Proactive defense against account takeovers and ransomware

Not Ideal For

Individual users or very small businesses with limited cybersecurity budgets

Organizations seeking a simple, free, or low-cost security solution

Users who prefer manual threat hunting over AI-driven detection

Deep Instinct

Best For

Preventing zero-day attacks in enterprise environments

Securing multi-cloud and hybrid infrastructures

Protecting Network-Attached Storage (NAS) systems

Defending SaaS and custom applications from vulnerabilities

Not Ideal For

Individual users or very small businesses

Organizations seeking a free or low-cost cybersecurity solution

Companies primarily focused on reactive detection and response rather than prevention

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Vectra AI is best for

📊Data & Analytics7.5

Deep Instinct is best for

📊Data & Analytics7.0

Filter by your use case:

Pros & Cons

Vectra AI

Pros

Reduces alert volume by up to 90% with AI-driven prioritization
Accelerates threat investigations from days to minutes
Provides comprehensive visibility across network, identity, and cloud
Offers flexible deployment options (on-premises, SaaS, hybrid)
Integrates with existing security tools like SIEM and EDR
Recognized as a leader in NDR by Gartner, IDC, and GigaOm

Cons

Requires significant investment as an enterprise-grade solution
May have a learning curve for new users due to advanced features
No explicit mention of a free tier for small businesses
Relies heavily on AI/ML, which may require trust in its detection accuracy
No explicit mention of offline mode for on-premise deployments

Deep Instinct

Pros

Stops unknown attacks before execution with over 99% accuracy
Provides real-time explainability of zero-day threats
Reduces false positives and alleviates security team stress
Offers comprehensive protection across cloud, NAS, applications, and endpoints
Features native integrations for major cloud and storage platforms
Lowers TCO due to efficient deep learning framework

Cons

No public pricing information available, likely requiring custom quotes
Primarily designed for enterprise-level deployments, potentially complex for smaller organizations
Requires integration into existing IT infrastructure

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

Vectra AI

7.3

/ 10

Your pick

Deep Instinct

7.0

/ 10

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Vectra AI

6.0

Deep Instinct

6.0

Output Quality

Quality and accuracy of generated results

Vectra AI

9.0

Deep Instinct

9.0

Value for Money

Cost vs. features and output quality

Vectra AI

7.0

Deep Instinct

7.0

Customizability

Calculated

Ability to tailor to specific needs

Vectra AI

6.0

Deep Instinct

6.0

Support & Ecosystem

Documentation, community, and support quality

Vectra AI

8.0▲ +1.0

Deep Instinct

7.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Vectra AI

8.0▲ +1.0

Deep Instinct

7.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Task Performance

Vectra AI

Task

Deep Instinct

9.0

Threat Detection

9.0

7.0

Vulnerability Scanning

7.0

8.0

Incident Response

7.0

6.0

Compliance Auditing

7.0

8.0

Access Management

5.0

7.0

Log Analysis

6.0

7.0

Phishing Prevention

7.0

3.0

Encryption Management

5.0

8.0

Security Reporting

8.0

7.0

Risk Scoring

7.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, Vectra AI or Deep Instinct?

Both are strong options. Vectra AI has a rating of 0.0/5 (0 reviews), while Deep Instinct has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is Vectra AI cheaper than Deep Instinct?

Vectra AI starts at free (enterprise model). Deep Instinct starts at free (enterprise model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between Vectra AI and Deep Instinct?

Vectra AI — "Stop modern cyberattacks across network, identity, and cloud with AI speed.". Deep Instinct — "Prevent malware, ransomware, and AI-generated attacks everywhere your data exists.". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

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