With the modern cybersecurity landscape targeted towards digital priorities, protecting your digital assets is essential. It’s not just an option nowadays but a necessary measure called Cybersecurity. However, there is some good news, as recent advancements in AI have led to a new set of tools that improve our defense. In this article, we explore the top 10 AI tools you can deploy today to elevate your cybersecurity strategy and safeguard your digital assets.
1. Autonomous Response Technology by Darktrace
Darktrace is a world-leading cyber AI company and the creator of Autonomous Response. Darktrace uses its machine learning to constantly learn and adapt to what is a ‘norm’ in your network so it can detect anomalies in real time. By taking a proactive approach, it detects and neutralizes threats before they can cause significant damage.
Key Features:
Real-time threat detection: Darktrace can identify potential threats as they happen, providing immediate alerts.
Self-defending against attacks: The system can autonomously respond to threats, mitigating damage without human intervention.
AI that learns and adjusts to your network: Darktrace’s AI continually adapts to changes in your network, ensuring ongoing protection.
2. Cylance: Artificial Intelligence Endpoint Security
Cylance uses machine learning to predict and prevent the execution of malware at the endpoint, well before they run. Through the use of mathematical models to analyze and classify malware, Cylance offers a layer of security that is more effective than traditional antivirus solutions.
Key Features:
Predictive threat detection: Cylance can identify threats before they execute, preventing potential damage.
Malware prevention at the pre-execution stage: By stopping malware before it runs, Cylance minimizes the risk of infection.
Lightweight and efficient agent: The software runs efficiently without slowing down system performance.
3. Vectra AI: AI-powered Network Threat Detection and Response
Vectra AI was the first major vendor to put significant power behind network-based threat detection and response. Using artificial intelligence, the product continuously monitors network traffic to recognize unusual behavior and then informs the customer of what steps they should take. Vectra AI’s Cognito platform uses machine learning and deep learning to discover and help counter advanced threats on the cloud, datacenter, and enterprise network.
Key Features:
AI-driven threat detection: Vectra AI uses advanced algorithms to identify threats in network traffic.
Full visibility of the network: The platform provides comprehensive insights into network activity.
Integrated response processes & capabilities: Vectra AI offers tools to quickly respond to and mitigate detected threats.
4. Splunk for Secure Data-Driven Solutions
AI-powered security information and event management (SIEM) solutions from Splunk process massive amounts of machine-generated data and can detect security threats, offering real-time alerts to security incidents. Splunk provides security teams with AI-driven insights so they can detect, investigate, and respond to incidents more quickly.
Key Features:
Real-time threat detection and alerts: Splunk offers immediate notifications of potential security incidents.
Modern analytics and machine learning: The platform uses advanced data analysis techniques to identify threats.
Personal security dashboards: Customizable dashboards provide tailored insights for security teams.
5. IBM QRadar: AI-powered Security Insights
IBM QRadar is a high-end offering that provides numerous AI enhancements for security analytics and threat detection. QRadar collects log and flow data from your network devices, applies different parsing rules and detection algorithms to the data, which allows business owners to identify any security incidents.
Key Features:
AI-powered threat detection: IBM QRadar uses sophisticated algorithms to identify potential threats.
Extensive log and flow data analysis: The platform analyzes vast amounts of data to uncover security incidents.
Scalable and customizable platform: QRadar can be tailored to fit the needs of different organizations.
6. Fortinet AI-driven Security Fabric
Artificial intelligence within Fortinet’s Security Fabric has advanced the horizon of cybersecurity automation. With the use of AI and machine learning, Fortinet provides automatic responses at speed with up to real-time threat intelligence across all network infrastructure.
Key Features:
Threat intelligence with AI enhancements: Fortinet uses AI to improve the accuracy and speed of threat detection.
Automated incident response and remediation: The platform can autonomously respond to and mitigate threats.
Unified security management: Fortinet offers a comprehensive solution for managing security across an organization.
7. Deep Learning in Cybersecurity: Deep Instinct
Leveraging deep learning, Deep Instinct empowers SOC and IR teams to focus on business logic and reduce false positives while preventing zero-day malware and APTs. The AI-powered method enables it to identify and mitigate threats before they lead to an actual attack, creating a protective barrier against dangers.
Key Features:
Threat detection with deep learning: Deep Instinct uses advanced AI techniques to identify potential threats.
Pre-emptive threat prevention: The platform stops threats before they can cause harm.
Precise system with a very low false positive rate: Deep Instinct minimizes false alarms, ensuring accurate threat detection.
8. Detection Engine Powered by AI/ML – Palo Alto Networks
Palo Alto Networks leverages AI in its security platform to enable advanced threat detection and prevention capabilities. The AI-driven approach helps in recognizing unknown threats and automates security responses, further improving the overall security posture for your organization.
Key Features:
Unmatched threat detection and prevention, powered by AI: Palo Alto Networks provides state-of-the-art threat detection.
Automated security responses: The platform can autonomously respond to detected threats.
Comprehensive threat intelligence: Palo Alto Networks offers detailed insights into potential security issues.
9. AI Security: Symantec Endpoint Protection
Symantec Endpoint Protection employs AI to deliver advanced threat detection and alerting. It provides behavioral and pattern analysis, allowing Symantec to detect, uncover, and initiate threat detections before they can affect your system. Its AI-powered approach keeps your security intact, always updated and at the highest level possible.
Key Features:
Proactive threat detection: Symantec uses AI to identify threats before they can cause damage.
Behavior-based analysis: The platform analyzes user behavior to detect potential security issues.
Continuous security updates: Symantec ensures that its protection is always up-to-date.
10. Inside FireEye’s AI-Driven Threat Intelligence
For real-time threat detection and response, FireEye incorporates AI into its threat intelligence platform. FireEye can identify and prioritize threats through machine-learning algorithms, enabling security teams to respond more quickly and effectively to incidents.
Key Features:
Real-time threat detection: FireEye provides immediate alerts to potential security incidents.
AI-driven threat prioritization: The platform uses AI to prioritize threats, ensuring that the most critical issues are addressed first.
Comprehensive incident response: FireEye offers tools to quickly and effectively respond to detected threats.
Conclusion
Today’s cyber threat landscape and how organizations manage digital assets demand a strategy that is proactive and intelligent. The benefits of using AI in cybersecurity include real-time threat detection, autonomous response, and sophisticated analytics. Integrating these ten AI-powered solutions into your cybersecurity playbook will allow you to strengthen your security posture and protect your digital assets from new-age threats.