Cybersecurity8 weeks
AI Threat Hunter & Proactive Vulnerability Scanner
Client: DataShield Corp
Graph analytics to map behavior and ML to prioritize exploitable vulnerabilities.
The Challenge
DataShield Corp needed to move from reactive security to a proactive posture by hunting for hidden threats inside the network and predicting which system vulnerabilities are most likely to be exploited. The challenge was to uncover hidden attack paths and prioritize vulnerabilities based on real-world exploit intelligence.
Key Challenges:
- Move from reactive to proactive security posture
- Hunt for hidden threats inside the network
- Predict which vulnerabilities are most likely to be exploited
- Uncover hidden attack paths before they're exploited
Without proactive threat hunting, the company faced security breaches, vulnerability exploitation, data breaches, and inability to detect advanced persistent threats.
Our Solution
- Graph analytics system mapping user and device behavior
- Hidden attack path discovery uncovering potential threats
- ML model prioritizing vulnerabilities based on exploit intelligence
- Real-world exploit intelligence integration
- Proactive threat detection identifying dormant threats
- Integration with security systems for automated response
Technology Stack
Graph Neural NetworksScikit-learnNLPELKSplunk
Client Testimonial
"Identified a dormant APT missed for 6 months, securing critical assets."
— CISO, DataShield Corp