Top 10 AI Tools To Secure Your Cloud Infrastructure

With the rapid evolution of the world and with the coming of the COVID-19 pandemic, everything has gone online, from regular jobs to businesses, startups, digital skills, data science, etc. This has brought the issue of security into concern. For this reason, securing the cloud infrastructure that contains all our data is essential.

These artificial intelligence tools offer innovative solutions to protect data and systems in the cloud infrastructure. They combine Machine Learning, and pattern recognition to identify threats followed by neutralization. These ensure that the cloud environment is resilient and automates responses. This makes sure that the time between threat detection and mitigation is reduced

What is Security in Cloud Infrastructure?

Cloud infrastructure security in simpler terms, refers to the set of measures that are used to protect the data, cloud-based applications, and infrastructure. A few major aspects involve data protection, access management, threat prevention, disaster recovery, and compliance. It is an important aspect because today most of the work that people are engaging in is online, majorly on the cloud infrastructure, hence its security is of utmost importance to the security needs of an organization

Top 10 AI Tools To Secure Your Cloud Infrastructure

Secure your cloud infrastructure with AI tools that protect data and defend against threats. Explore the top 10 AI solutions for cloud security.

1. Darktrace

Darktrace AI is the cyber security solution to protect the cloud infrastructure from the cloud environments. It makes use of artificial intelligence and combines it with machine learning and pattern recognition which helps in identifying and monitoring threats in real-time situations. It prevents incidents before any kind of damage takes place. It also provides visibility across the cloud services applications and platforms

Key features

• ‌It can autonomously respond to threats without any intervention. It mitigates risk promptly.
• It also studies the behavioural patterns within the cloud environment which makes it more efficient.
• ‌Regularly it learns the network activity continuously which makes it more adaptive to new threats and changes.

Advantages

• It is a comprehensive security solution.
• It has a feature of keeping it up to date regularly.
• ‌It can detect anomalies very quickly.

2. Vectra AI

Vectra AI is a very adaptable AI tool that provides a high level of security solutions. It provides real-time attack detection and a quick response to eliminate the threat. It evolves with cloud usage patterns and the threat landscapes. It offers a unified security solution that can be seen in IaaS, PaaS and SaaS platforms. It uses advanced AI to identify and detect the behavioural patterns of the attack across the cloud, identity, network and SaaS infrastructure.

Key features

• ‌It is AI-driven in identifying the attacker and the threats involved. It reduces any kind of dependency on predefined rules or protocols.
• ‌It is very quick to identify the difference between malicious and begin events. It reduces alert noise and results in a very high-efficiency value.
• ‌It provides insight into cloud services, SaaS and infrastructure.

Advantages

• It works in a complex hybrid and multi-cloud.
• It makes sure that there is thorough management of controls and posture.
• It has a vulnerability management software.

3. Secureworks Taegis

Secureworks Taegis is an AI tool. It is built on 20+ years of threat intelligence and research in real-time. There is super detection and an unmatched response. It also values open architecture. This AI tool combines hundreds of leading technologies. Taegis XDR brings smart remediation. This means that it can identify and prioritize threats. It provides maximum optimization and has the capability of talent gap filling.

Key features

• It allows seamless integration with the cloud services. There are dynamic workloads and it adapts well to them.
• ‌It combines security analytics and human intelligence along with an unmatched response.
• ‌It is vendor agnostic and allows maximizing the current and future security investments. There is an integration with products like AWS GuardDuty, CloudTrail and VPC Flow Logs.

Advantages

• It is cost-effective thereby saving business’s financial aid.
• It has an advanced protection patch.
• ‌It is cloud-native.

4. Sentinel One

Sentinel One empowers the organization to work actively in defending against any kind of cyber threat to the cloud infrastructure. It makes security operations simpler. This makes the threat detection faster and the response rate high. It enables the customer to stay ahead of any kind of attack. It makes use of patent-pending AI technology. There is an Endpoint Protection Platform (EPP) and Endpoint Detection and Response (EDR)

Key features

• ‌ There is 80% faster hunting and investigations making it easier to detect threats and respond to them.
• ‌It has a natural language interface. This helps in streamlining investigations.
• ‌It collaborates all the investigations with colleagues and uses singularity Data Lake to transform data into actionable insights.

Advantages

• It brings together all the enterprise data securing it in one place.
• It serves as an AI security analyst.
• It has a unified control plane.

5. Acronis Cyber Protect

Acronis Cyber Protect is a cybersecurity platform that is AI-powered. Its function is simple like it combines backup, endpoint management, and cybersecurity into one solution. There is an immutable backup and its rate of recovery is high. There is an integration of data protection. This platform has Anti Ransomware Technologies that prevent ransomware attacks. There is Endpoint Detection and Response (EDR). It also assesses vulnerabilities continuously. It keeps the system up to date thereby making it secure.

Key features

• ‌It has mobile and remote work environments which makes it ideal in today’s world where technology is growing.
• ‌ It has three layers of cyber resilience which are the proactive layer, active layer and reactive layer.
• ‌ There is business continuity along with cloud disaster recovery .

Advantages

• There is an integration of data protection.
• It involves cybersecurity which brings about comprehensive cyber resilience.
• It ensures business continuity through cloud disaster recovery solutions.

6. IronNet

IronNet operates on Network Detection and Response (NDR) capabilities. There is comprehensive protection that includes behavioral analysis in real-time threat detection. It has an automated threat intelligence feed which is developed to combat command and control (C2) behavior. It brings real-time threat intelligence into security solutions like SIEM, SOAR, and Incident Response.

Key features

• ‌ It can easily detect any kind of anomaly. It builds a dynamic and comprehensive picture of the threat environment.
• ‌ They provide operational efficiency. Insights and contexts are gained at the same juncture.
• ‌ It acts as a SOC multiplier whose main function is to collaborate after identifying the unique attacks.

Advantages

• This type of Cloud security produces an Amazon effect.
• It calls for shared responsibilities between the cloud, companies and users.
• It brings real-time threat intelligence.

7. CloudSEK

CloudSEK is a contextual AI. It was founded by Rahul Sasi in 2015. It predicts and prevents cyber threats. It helps in mitigating these threats in a very swift manner. It functions across the entire internet and identifies threats to resolve them. It combines cyber intelligence, brand monitoring, infrastructure monitoring, attack surface monitoring, and supply chain intelligence. They also motivate the organizations to maintain a robust security standard and follow the regulations earnestly

Key features

• ‌It uses machine learning algorithms that continuously audit cloud environments.
• ‌It has a kill chain prevention that provides information about the Initial Attack Vectors (IAV).
• ‌The main function of this is, that it has a kill chain prevention where it attacks the cyber chain upon identification of a threat before it escalates.

Advantages

• It serves 37 organizations globally.
• It combines cyber intelligence.
• It has a kill chain prevention.

8. Hunters

Hunters go beyond traditional SIEM capabilities. It has an advanced Security Operations Center (SOC) Platform. This helps the security team reduce risk, complexities, and costs for enhancing the threat coverage. It provides enhanced investigation capabilities using AI and machine learning. It integrates with the security data source without any charges. It provides off-the-shelf which enhances security capabilities across the cloud

Key features

• ‌It involves email security, identity and access management, network security, threat intelligence, workflow and response.
• ‌It prioritizes threads through integration with existing security stacks followed by analyzing and correlating data.
• ‌The response rate has significantly reduced the time of containment and remediation.

Advantages

• It integrates a wide range of security tools.
• It reduces risk.
• It provides enhanced investigation capabilities using AI and machine learning.

9. Fortinet

Fortinet helps in producing massive security for the cloud infrastructure. It uses GenAI for guiding and simplifying security analyst activities. ‌It has a natural language interface. This helps in streamlining investigations. It interprets security events and informs analysts about the malware characteristics. It guides for investigation of incidence and threat hunting. It collects data from Fortinet network devices. It provides accurate and actionable results wherever it’s needed.

Key features

• ‌It protects application content, devices, and web traffic across the distributed.
• ‌It continuously assesses risks and focuses on counting both known and unknown threats.
• ‌It expands on the cloud-native end platform and enhances organizations’ security fabric and threat protection.

Advantages

• It provides accuracy and actionable results.
• It expands on cloud native.
• It presents a simplified version of analyst activities.

10. Orca Security

Orca Security is a generative AI. It augments Cloud Security by lowering skill thresholds and simplifying tasks for a better understanding of the cloud environment. It makes knowledge of AI-driven insights faster. There is an optimal cloud configuration that enhances overall security. It enhances threat detection and ensures organisations thrive securely. It is agentless and workload Deep, context-aware, multi-cloud support, full-stack visibility and AI co-pilot.

Key features

• ‌It brings a significant impact on cost savings with an average data breach cost of USD 3.60 million.
• ‌It presents accelerated remediation allows teams to act swiftly and improves the understanding of the cloud environment.
• It has multi-cloud support like AWS, Azure, Google Cloud, Alibaba Cloud and Kubernetes.

Advantages

• There is an optimal cloud configuration that enhances overall security.
• It presents accelerated remediation.
• It has multi-cloud support.

Conclusion

Through this, one can easily secure cloud infrastructure with accessible AI tools. This involves a variety and diversity of practices like technologies and policies that collaborate to secure the cloud environment against any unwanted threat and if detected, may neutralize it. It follows a shared responsibility model which means that both the provider and the client have individual rules for maintaining the cloud infrastructure security. It gives greater control to an organization and a greater hold on security concerns.

AI Tools To Secure Your Cloud Infrastructure – FAQs

Define security in cloud infrastructure.

Cloud infrastructure security in simpler terms, refers to the set of measures that are used to protect the data, cloud-based applications and infrastructure.

What is the use of AI tools in providing security to cloud infrastructure?

It combines Machine Learning, and pattern recognition to identify threats followed by neutralization. These ensure that the cloud environment is resilient and automates responses.

Name a few AI tools to secure cloud infrastructure.

A few tools include Orca Security, Fortinet, Hunters, Cloudsek, IronNet, SentinelOne, Secureworks TAEGIS, Acronis Cyber Protect, Vectra AI, Darktrace and so on.