AI Cybersecurity

Developer-first security platform finding and automatically fixing vulnerabilities in code, dependencies, and containers.

• Deepcode Ai: Trained specifically on security CVEs to find bugs and generate accurate code patches. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Automated Pull Requests: Provides upgrade vulnerable open-source dependencies without breaking builds. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The fastest-growing cloud security platform in history, delivering agentless multi-cloud risk graph analysis.

• 100% Agentless Architecture: Scanning AWS, Azure, GCP, and Kubernetes in minutes with zero agents. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Wiz Security Graph: Correlating vulnerabilities, internet exposure, and excessive IAM permissions. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Autonomous endpoint, cloud, and identity cybersecurity platform powered by Storyline AI and Singularity.

• Patented Storyline Technology: Autonomously tracking every process and thread into a single coherent incident. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• 1-click Ransomware Rollback: Utilizing VSS shadow copies to restore encrypted files in seconds. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

AI-native cloud email security platform stopping executive impersonation, phishing, and vendor fraud.

• 1-minute Api Deployment: Requiring zero MX record changes or email delays. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Behavioral Ai Modeling: Communication habits, locations, and writing styles of all employees. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Generative AI cyber defense assistant synthesizing signals across Microsoft Defender, Sentinel, and Entra.

• One-click Incident Summaries: Turning complex multi-stage attacks into plain English briefs. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Natural Language Reverse: Engineering of malicious PowerShell and script code. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The industry's first extended detection and response platform integrating network, endpoint, and cloud data.

• Automated Root Cause: Analysis identifying the exact origin of an attack in seconds. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Behavioral Analytics Profiling: User and device activity to catch compromised insider credentials. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Synchronized security platform featuring Intercept X deep learning endpoint defense and 24/7 Managed Detection.

• Deep Learning Neural: Network trained on hundreds of millions of malware samples. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Cryptoguard Anti-ransomware Technology: Detecting and reversing unauthorized file encryption. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The cybersecurity convergence leader unifying AI-powered FortiGuard security services across network, SASE, and cloud.

• Fortinet Security Fabric: Providing unified visibility across firewalls, switches, wireless, and cloud. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Fortiguard Ai Processing: Over 100 billion daily security events with sub-second threat intelligence updates. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Cybersecurity operations platform unifying vulnerability management (InsightVM) with cloud SIEM (InsightIDR).

• Insightvm Real Risk: Score factoring in Metasploit exploitable proof-of-concept data. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Insightidr Cloud Siem: With built-in User and Entity Behavior Analytics (UEBA). Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Self-learning Cyber AI that detects and autonomously neutralizes cyber threats in real time across enterprise networks.

• Unsupervised Machine Learning: Learns normal behavioral patterns without relying on past malware signatures. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Darktrace Antigena Autonomous: Response taking surgical actions to stop in-progress attacks. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Cloud-native endpoint security titan powered by Charlotte AI and the Threat Graph analyzing trillions of events.

• Crowdstrike Threat Graph: Analyzing trillions of planetary security events daily. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Charlotte Ai Conversational Assistant: Allowing security analysts to query incidents in plain English. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The cyber exposure and vulnerability management pioneer powered by Nessus and Tenable.io.

• Powered By the: World-famous Nessus vulnerability scanning engine with over 80,000 CVE plugins. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Exposureai Natural Language: Query engine to explore cyber risk and attack paths. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Autonomous AI tier-1 security analyst that investigates alerts 24/7 with human-level reasoning.

• Autonomous Investigative Agent: Queries logs, checks IP reputation, and analyzes phishing attachments. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Outputs Complete, Formatted Investigative Briefs: With conclusions and remediation steps. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

AI-driven Network Detection and Response (NDR) uncovering hidden attacker behaviors across hybrid clouds.

• Patented Attack Signal: Intelligence filtering out 80% of security alert noise. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Detects Lateral Movement: And active Kerberos credential abuse in real time. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

AI security operations platform that investigates, triages, and resolves security alerts automatically.

• Generative Reasoning Engine: Evaluating alert context and user historical behavior. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Automated Evidence Collection: From cloud identity, network logs, and endpoint sensors. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Enterprise Application Security Testing (AST) platform with AI-driven automated code vulnerability remediation.

• Static Application Security: Testing (SAST) scanning source code for OWASP Top 10 vulnerabilities. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Checkmarx Ai Query: Builder and AI Auto-Remediation generating exact code fix diffs. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Cloud-native application security platform featuring Veracode Fix to automatically repair security flaws in code.

• Veracode Fix Generates: Verified code patches directly inside developer IDEs. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Comprehensive Scanning: SAST, DAST, Software Composition Analysis (SCA), and Container Security. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

The enterprise data-to-everything platform powering security information and event management (SIEM) with AI insights.

• Industry-standard Search Processing Language (spl): Querys machine data. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Splunk Ai Assistant: Translating plain English questions into complex SPL queries. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Living security ecosystem uniting McAfee Enterprise and FireEye into an open Extended Detection and Response (XDR).

• Trellix Xdr Open Architecture Integrating: With hundreds of third-party security vendors. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Inherits Legendary Fireeye: Mandiant threat intelligence on state-sponsored APT groups. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.

Cognitive cyber intelligence analyzing unstructured security blogs, research papers, and threat bulletins.

• Watson Advisor Automatically: Cross-references internal security incidents against external threat reports. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.
• Automated Threat Actor: And attack campaign attribution. Engineered for high throughput, it integrates into daily AI cybersecurity workflows with low operational overhead. Users benefit from consistent output accuracy and automated error-handling under demanding workloads.