Platform & Services
Secure by Design. Accelerated by Expertise
Unified cybersecurity assessments, compliance automation, and expert services into one adaptive environment. You get a single space to identify and mitigate risks, backed by security testing
- Assessment
- Gap ledger
- Remediation tasks
- Evidence trail
One Flow, Continuous Assurance
- 01
Assess gaps
Identify vulnerabilities across applications, cloud, and AI systems through automated platform via subscription or consult for personal expert-led testing
- 02
Mitigate risks
Generate tasks lists based on the gaps, identified in security report. Integrate fixes, training, or request expert help guided by NisAI team
- 03
Assure compliance
Verify compliance and maturity with ongoing monitoring on your personal dashboard. Get audit-ready reports
NisAI Platform: Continuous Security & Compliance Engine
- Dashboard and compliance engine integrated to your infrastructure
- Unified visibility for application, cloud, and AI system risks, built-in workflows for remediation tracking and retesting
- Automated test orchestration, reporting mapped to frameworks NIST, ISO 27001, SOC 2, HIPAA, GDPR, PCI DSS
Cybersecurity Services
Application & network security testing
Identify vulnerabilities across applications, networks, and cloud environments to strengthen security
Penetration testing (web, mobile, network)
Simulated attacks against applications and networks to uncover exploitable vulnerabilities. Includes OWASP Top 10 and business-logic testing
Vulnerability assessments
Scanning and manual verification of infrastructure, endpoints, and cloud systems to identify and prioritize security weaknesses
Red Team Assessments
Adversary simulations combining phishing, social engineering, and exploitation to test organizational resilience and detection
Cloud security reviews (AWS, Azure, GCP)
Evaluate cloud environments for misconfigurations, excessive permissions, and insecure integrations to ensure compliance and prevent data exposure
Cloud security reviews
Configuration and architecture assessments of cloud environments to detect misconfigurations, insecure setups
Cloud attack simulation
Realistic exploitation of cloud misconfigurations to validate detection and response effectiveness
Secure development & code analysis
Build security into the SDLC rather than testing for it afterwards
Secure Code Review
Manual analysis of source code to identify flaws like injection, authorization bypass, insecure APIs, or misuse of cryptography
Application Security Program Development
Implementing AppSec processes in the SDLC, including developer training and CI/CD pipeline integration
Threat Modeling
Identify high-impact threats and include mitigation during design phases
CI/CD Security Integration
Automated static application security testing (SAST)/DAST integration and pipeline hardening
Human-centric security
Address the weakest link in any security chain
Phishing simulation & awareness training
Custom phishing campaigns and employee-focused security awareness training to reduce social engineering risk. Evaluate organizational readiness and policy adoption levels
Incident response tabletop exercises
Rehearse the response before you need it
Insider threat simulation
Simulated breach scenarios and response workshops to improve incident detection, escalation, and handling. Assess behavioral and procedural weaknesses to prevent internal data exfiltration
Enterprise security & risk management
Architecture and framework alignment at organisation scale
Security Architecture & Risk Reviews
High-level assessment of enterprise architecture with recommendations for secure design and risk mitigation
Compliance Gap Assessments
Gap analysis and mitigation plans to align with frameworks like NIST, ISO 27001, SOC 2, HIPAA, GDPR, PCI DSS
AI & machine learning security
Testing the systems that now sit inside regulated workflows
AI Model Security Assessment
Testing ML models for adversarial vulnerabilities, data poisoning risks, and model inversion attacks
AI Red Teaming
Simulated attacks against AI/ML systems to evaluate resilience against real-world exploitation scenarios
Data Privacy & Bias Auditing
Detect unintentional bias, PII leakage, and noncompliance with privacy regulations
Model Compliance Review
Evaluate alignment with NIST AI RMF, ISO/IEC 23894, and emerging AI Act standards
AI Supply Chain Risk Review
Review of datasets, model weights, and dependencies to identify risks in training data and open-source components
Prompt Injection
Evaluation of LLMs and AI assistants against prompt injection, jailbreak attempts, and unauthorized data access