Core Capabilities
Core Modules
Protection Services
Offensive Security
Application Security
Infrastructure Security
Harness the power of machine learning to detect threats faster, prioritize risks smarter, and automate response at scale. AI that works alongside your security team.
Pattern recognition
Context-aware ranking
Instant remediation
Natural language queries
Show me critical vulnerabilities from the last 24 hours
Found 3 critical vulnerabilities in the last 24 hours:
CVE-2024-1234
RCE in Apache Struts • 3 affected hosts
CVE-2024-5678
SQL Injection in API endpoint
Exposed Credentials
AWS keys found in public repo
Recommended: Prioritize CVE-2024-1234 (actively exploited)
Create a remediation ticket for the Apache issue
Assigned to Security Team • Priority: Critical
Securing critical infrastructure for forward-thinking organizations.
Protect your AI/ML models, data pipelines, and LLM deployments from emerging threats.
Protect AI models from adversarial attacks and model theft.
Secure large language models against prompt injection and jailbreaks.
Secure your ML data pipelines and training infrastructure.
Establish governance frameworks for responsible AI deployment.
Monitor AI systems in production for anomalies and attacks.
Protect sensitive data in AI training and inference.
Machine learning and AI-powered capabilities that enhance every aspect of your security operations.
Advanced machine learning models that identify threats and anomalies in real-time.
AI-driven playbooks that respond to threats automatically, reducing MTTR.
Predictive analytics that forecast potential security risks before they materialize.
Context-aware prioritization that focuses your team on what matters most.
Query your security data using natural language and get instant insights.
Models that continuously learn from your environment and improve over time.
Real-world applications of AI across the Flawtrack platform.
AI automatically discovers and classifies assets across your external attack surface, identifying shadow IT and forgotten infrastructure.
ML models analyze exploit likelihood, business context, and threat intelligence to prioritize vulnerabilities that matter most.
NLP models process millions of threat reports, dark web posts, and security feeds to extract relevant intelligence for your organization.
Computer vision and NLP analyze suspicious emails, websites, and domains to detect sophisticated phishing attempts.
AI aggregates data from multiple sources to calculate individual risk scores and identify high-risk employees.
AI maps security controls to compliance frameworks and automatically generates audit-ready reports.
As AI adoption accelerates, so do the risks. Get ahead of emerging AI threats with comprehensive security assessments.
Prompt injection, jailbreaking, and data leakage testing.
Adversarial attacks, model poisoning, and inference testing.
Policy, compliance, and ethical AI implementation review.
