10 Best AI Security Software (2024)

Artificial intelligence (AI) brings immense promise in transforming cybersecurity to be more proactive and effective against rapidly emerging threats. AI Security Software is becoming essential to keeping pace with the increasing number of attacks that combine to cover traditional signature-based defenses deployed across expanding digital attack surfaces.

However, as AI advancement continues across industries, the potential for malicious use of AI also escalates security risks exponentially. This leads to an escalating AI arms race between both sides – one utilizing AI to prepare attack strategies and the other leveraging AI techniques to detect and respond to those novel threats in real time.

In this blog, we will discuss about Top 10 best AI security software for 2024.

1. Darktrace – Best Overall AI Security Software

Darktrace is one of the best AI security software. Darktrace offers comprehensive self-mastering cyber-AI to autonomously discover and respond to novel cyber threats across virtual infrastructure.

Website: https://www.darktrace.com/en/

Features:

• AI/Machine Learning
• API Based
• Activity Dashboard
• Activity Monitoring

Pros	Cons
Self-updating AI	Expensive
Autonomous response	Confusing User Interface
SaaS or on-premise	Limited Threat Detection and Reporting

Pricing: Custom quote

2. Vectra AI – Top Network Traffic Analysis

Vectra AI specializes in network threat detection by analyzing cloud metadata and network packets for indicators of attacker behavior. Vectra AI can pinpoint internal and external attackers across various stages of the threat lifecycle. Vectra AI is also one of the best AI security software.

Website: https://vectra.ai/

Features:

• Easy Monitoring
• Network, Identity and Cloud Security
• Threat Detection and Response
• Threat hunting

Pros	Cons
AI-derived threat scores	Can be expensive as pricing is based on IP count and GB processed Pricing Custom Quote
Detailed forensics, ideal for networks	Absence of a comprehensive TCP recording and replay feature
Native and integrated response capabilities that can be triggered manually or automated

Pricing: Custom Quote

3. Secureworks Taegis – Best AI-Based XDR Platform

Taegis XDR leverages AI and machine learning for proactive threat identification and response across cloud, endpoints and networks. Taegis excels in threat hunting and investigation use cases. It is one of the best AI security software.

Website: https://www.secureworks.com

Features:

• Account Compromise
• Bring your own threat Intel
• Brute Force
• Business Email Compromise

Pros	Cons
Holistic visibility	Complex interface
User profiling	Playbook and automatic remediation
Threat hunting	Firewall API integration

Pricing: Custom quote

4. SentinelOne: Best for Advanced Threat-Hunting

SentinelOne’s AI-backed cybersecurity solution, SentinelOne Singularity, is an autonomous security platform. It protects against a wide array of cyberthreats, including malware, ransomware, exploits, and fileless attacks. It is also one of the best AI security software.

Website: https://www.sentinelone.com/

Features:

• Ability to identify and triage threats.
• Enables companies to ingest data from various sources.
• Identifying and then very quickly launch threat detection and response.
• Advanced threat-hunting capabilities.

Pros	Cons
Provides quality threat-hunting tools	Digital forensics and incident response are only available to enterprise users
Provides insights	Platform’s reporting capability could be better
Easy to deploy	Expensive tool

Pricing:

• Singularity Core: $69.99 per endpoint.
• Singularity Control: $79.99 per endpoint.
• Singularity Complete: $159.99 per endpoint.
• Singularity Commercial: $209.99 per endpoint.
• Singularity Enterprise: Pricing is available upon request.

5. Acronis Cyber Protect

Acronis combines anti-malware with AI to prevent zero-day threats on endpoints. It can rollback entire machines to undo malicious changes after an attack. It is one of the top best AI security software.

Website: https://www.acronis.com/

Features:

• Easy, Fast and Reliable
• System Management
• Backup and Recovery

Pros	Cons
Rollback recovery	Limited visibility beyond endpoints
Unified platform	Slow web interface
Blockchain authentication	Expensive tool

Pricing: Starts at $100 per device annually

6. IronNet – Top Collective Defense System

IronNet has pioneered an innovative collective defense system whereby networks share anonymous threat data to augment AI capabilities across participants. Their behavioural analytics excel at early warning for targeted intrusions. It is the best AI security software in the market.

Website: https://www.ironnet.com/

Features:

• Real-time threat data sharing
• Threat Intelligence
• Alert Correlation and Triage
• Community View

Pros	Cons
Collective learning	Manual integration required for data sharing
Expert security team support	Changes in direction
Cyber warfare intelligence	Customer support and technical support should always be easier

Pricing: Custom quote

7. Cloudsek – Most Cost-Effective AWS Security

Cloudsek uses machine learning algorithms to continuously audit AWS and hybrid cloud environments to identify misconfigurations and prevent data exposure. It specializes in detection of compromised accounts, insider threats and crypto-mining malware. It is one of the best AI security software for detecting cyber threats easily.

Website: https://www.cloudsek.com/

Features:

• Cyber threat intelligence
• Brand monitoring
• Attack surface monitoring
• Infrastructure monitoring

Pros	Cons
Automated cloud compliance	AWS-centric
Cost-effective	Lacks advanced AI capabilities
Easy deployment	Expensive tool

Pricing: Starts at $3 per day

8. Hunters – Best Threat Hunting Platform

The Hunters platform provides automated threat hunting powered by proprietary AI algorithms. It excels at identifying attack payloads, malware variants and attacker infrastructure across the entire kill chain. Hunters is one of the best AI security software, which is highly recognized by the reports as well.

Website: https://www.hunters.security/

Features:

• Flexibly integrates with your security tools
• Extract threat signals across endpoints, cloud, email, network
• Correlates both high fidelity and low fidelity threat signals

Pros	Cons
Specialized threat hunting	Manual integration
Actionable insights	High skill requirements
Expert capability augmentation	Entity-based pricing model

Pricing: Custom quote

9. Cynet – Top Consolidated Platform

Cynet consolidates XDR, MDR, threat protection and response orchestration powered by AI to autonomously prevent and remediate attacks across cloud, endpoints, email, networks and servers. It features hundreds of threat detection models optimized using swarm learning. Cynet is said to be one of the best AI security software.

Website: https://www.cynet.com/

Features:

• Threat Policy
• Application Security
• Threat Hunting
• Remediation

Pros	Cons
Unified platform	Knowledge-based models lack generalization
Prevention-focused	Need for better reliability
Detailed logging	User Management

Pricing: Custom quote

10. Athena AI – Most Accurate Threat Forecasting

Athena AI offers AI-powered threat intelligence designed to outwit attackers by predicting their future moves and targets. Their cybersecurity road mapping and attack path modelling provide 6+ month advance warning to get ahead of emerging threat campaigns. For the purpose of threat forecasting, it is also one of the top ten best AI security software.

Website: https://athena-security.com/

Features:

• AI with human touch
• Conversational bot
• Transcription service
• Entity Recognition

Pros	Cons
Predictive intelligence	No strategic focus
Expert-augmented analysis	Significant onboarding effort, you don’t have any control over the underlying resources or configuration
High accuracy threat models and simulations

Pricing: Custom quote

Comparison

The 10 AI security software solutions profiled excel across diverse capabilities from holistic detection to specialized threat hunting. Here is an in-depth comparison in between best AI security software:

Tool	Key Features	Strengths	Limitations
Darktrace	AI-powered network security	Detects novel threats early	Higher false positives
Vectra AI	Network traffic and metadata analysis	Identifies hidden threats	No endpoint visibility
Secureworks Taegis	Extended Detection and Response (XDR)	Broad detection across networks, endpoints	Higher learning curve
SentinelOne	Next-gen antivirus, EDR	Threat hunting, response automation	No network visibility
Acronis Cyber Protect	Backup, anti-malware, EDR	Integrated data protection and security	Limited to endpoints
IronNet	Collective defense system	Shared threat intelligence	Limited detection capabilities
Cloudsek	Cloud infrastructure entitlements	Cost-effective AWS security	AWS-specific, no EDR features
Hunters	Managed threat hunting	Identifies advanced threats	No automated prevention/response
Cynet	Consolidated EPP, EDR platform	Broad protection via single agent	Less flexibility vs. standalone tools
Athena AI	Cyber risk intelligence	Predicts emerging threats	Retrospective, no real-time detection

Conclusion

As cyber threats continue accelerating in sophistication, AI is no longer an optional part of security stacks – it is essential. They provide the adaptive advantage needed to detect and autonomously respond to novel threats targeting cloud, endpoints, networks, identities, data and applications.

When evaluating the modern best AI security software, look for proven 95%+ accuracy in detecting advanced threats along with configurable automation to block and contain those threats. Seek prevention-focused capabilities, flexible deployment options, and unified platforms that consolidate XDR, SIEM, SOAR and NTA functions to lower licensing and integration costs.

10 Best AI Security Software (2024) – FAQs

Write the key benefits of using AI for cybersecurity?

Some major benefits are proactive threat detection, increased automation, improved prevention capabilities and accelerated response times against novel threats that evade traditional defenses. AI enables security teams to keep pace with rapidly evolving attacks.

Does AI security software require advanced skills to deploy and manage?

Some solutions like Darktrace provide higher levels of automation to simplify management without requiring dedicated AI expertise. Other tools like Hunters are designed to augment security analysts and assume knowledge of threat-hunting tradecraft.

What are top considerations when selecting an AI security platform?

To consider best AI security software leading criteria include detection accuracy rates, prevention capabilities, deployment flexibility, automation features, Ease of use, TCO and consolidation. Ensure the tool aligns to organizational maturity, risk tolerance, use cases and environments.

Can AI security software adapt to new threats unseen during initial training?

The most advanced AI security tools like Darktrace continuously self-learn to model normal vs abnormal behaviour, allowing them to autonomously detect and respond to novel attacks. The ability of AI to improve itself over time is critical.Website: https://www.cloudsek.com/