PlexTrac ConceptsAI in Cybersecurity

AI in cybersecurity refers to the use of artificial intelligence to monitor, analyze, detect, and respond to cyber threats through advanced algorithms and machine learning (ML) models. With the introduction of AI in cybersecurity, security teams can strengthen their security posture by continuously monitoring and performing routine assessments for real-time threat identification and remediation with less manual involvement.

AI is typically used in cybersecurity for:

• Threat Detection: Identify patterns and detect anomalies for automated threat detection of malicious activities across networks, systems, and devices.
• Incident Response: Run automated rules to respond with actions such as blocking malicious IPs, isolating compromised devices, and applying security patches.
• Predictive & Behavioral Analysis: Analyze historical and behavioral patterns to predict potential risks and proactively take measures to prevent an incident.
• Vulnerability Management: Automatically scan and prioritize vulnerabilities based on risks to business impact and provide recommendations for remediation.
• Report Automation: Generate summaries and recommendations based on findings data to expedite security report writing.

1. Improved Threat Detection: Quickly process and analyze large data sets to identify threats faster and more accurately.
2. Real-Time Automation: Reduce manual workload and speed up response times by automating routine security tasks.
3. 24/7 Monitoring: Get real-time, continuous threat monitoring day and night with automated alerts for unusual activity.
4. Proactive Defense: Leverage predictive analytics to automate remediation and prevent potential breaches.
5. Advanced Analytics: Identify complex attacks and zero-day exploits that are typically undetectable to the human eye.

Discover more about the opportunities and threats with AI offensive security in this video.

In order for AI to be effective, it is important to maintain high data quality and include all systems, networks, and devices. Not all AI models are secure, closed systems; inputting data in an open-source system can result in that information becoming available outside of the model or to other users. AI should be used to augment human decision-making and not solely relied on.

On the opposing side, threat actors can also leverage AI to increase the quantity and quality of malware, phishing, and ransomware attacks, for which organizations need to be prepared.

Learn how you can defend against AI attacks.

Continuously identify and prioritize risks to proactively remediate critical vulnerabilities and strengthen your security posture with PlexTrac. Save time with our industry-first AI penetration test reporting and vulnerability data management platform. Have full confidence in our in-platform AI assistant, which is pre-trained and does not retain or share your data.

Together we can speed up your existing workflows, effectively reduce risk, and close the loop on continuous monitoring and validation. Request your demo today to see PlexTrac in action.