Vulnerability Assessment & Scanning
Vulnerability assessment is a systematic approach to identifying, quantifying, and prioritizing security weaknesses in IT systems, applications, and network infrastructure. Our assessment methodology follows industry-recognized frameworks including NIST SP 800-115 and incorporates comprehensive scanning techniques to detect known vulnerabilities, misconfigurations, and security gaps.
Our Methodology:
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Asset Discovery & Inventory: Comprehensive identification of all systems, applications, and network devices within scope
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Automated Scanning: Utilizing enterprise-grade vulnerability scanners to detect known CVEs and security weaknesses
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Risk-Based Prioritization: Applying CVSS scoring and contextual risk analysis to prioritize vulnerabilities based on business impact
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Validation & Verification: Manual verification of critical findings to eliminate false positives
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Remediation Guidance: Detailed recommendations including patch management, configuration hardening, and compensating controls
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Continuous Monitoring: Ongoing vulnerability tracking and trend analysis to maintain security posture
Our vulnerability assessments provide actionable intelligence with detailed severity ratings, exploit availability, and remediation timelines to help organizations maintain compliance and reduce attack surface exposure.
Penetration Testing
Penetration testing simulates real-world cyberattacks following PTES and OWASP methodologies to validate security controls across traditional infrastructure and AI-powered systems.
Core Services: Pre-engagement scoping, intelligence gathering, threat modeling, vulnerabilityanalysis, controlled exploitation, post-exploitation assessment, and comprehensive reporting with prioritized remediation roadmap.
AI/LLM Security Testing: Specialized assessments addressing OWASP LLM Top 10 risksincluding prompt injection attacks, insecure output handling, training data poisoning, model denial of service, sensitive information disclosure, plugin security, API vulnerabilities, and jailbreaking attempts. Testing techniques include input fuzzing, context manipulation, automated red teaming tools (PyRIT, IBM ART), and semantic analysis for hallucination detection.
Red team
Red team operations represent advanced, goal-oriented exercises simulating sophisticated adversary tactics to test detection and response capabilities while remaining undetected.
Core Methodology: Threat intelligence planning with adversary emulation, attack surface management, multi-vector initial compromise, persistence establishment, lateral movement, privilege escalation, objective achievement, and blue team evaluation.
AI-Specific Red Team Operations: Model theft and extraction attempts, supply chain compromise testing, advanced prompt injection campaigns, indirect prompt injection via external data sources, autonomous agent hijacking, data poisoning operations, AI-powered social engineering, and MLOps pipeline exploitation. Includes adversarial attack evolution, gray-box prompt attacks, multi-turn conversation exploitation, and real-time adversarial testing against production AI systems.
Detection Evaluation: Assessment of AI security monitoring, content filtering effectiveness, incident response capabilities for AI breaches, and purple team integration for collaborative defense improvement.
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