Cyber threats evolve faster than most security teams can respond. Digital ecosystems sprawl beyond traditional boundaries. Attack vectors multiply daily. The reality? Traditional reactive security models simply can’t catch up.
Organizations need something different: a unified approach that anticipates threats, adapts quickly, and responds with precision. Through our strategic partnership with Microsoft, Hexaware delivers exactly that with AI-driven cybersecurity solutions powered by Microsoft Security Services.
We’ve integrated Microsoft and Azure security solutions within the NIST Cybersecurity Framework 2.0. The NIST CSF 2.0 provides practical guidance for managing cybersecurity risks. It offers a taxonomy of high-level cybersecurity outcomes that works for any organization—regardless of size, sector, or maturity level. Understanding and incorporating the suggestions will help organizations better understand, assess, prioritize, and communicate their cyber risk management efforts.
Why does this matter? Because combining our AI-powered Tensai® with Microsoft’s comprehensive security ecosystem and a robust cloud security framework creates more than just another security layer. It transforms cybersecurity from a necessary cost into a genuine competitive advantage. Organizations gain better resilience, easier compliance, and real room for innovation.
The NIST CSF identifies six core functions to organize cybersecurity outcomes for organizations. They are:
- Govern
- Identify
- Protect
- Detect
- Respond
- Recover
Let’s go through the functions in detail.
Govern: Governance
Governance forms your foundation. Strong governance doesn’t mean bureaucracy; it means establishing a clear cybersecurity risk management strategy, expectations, and policy. The govern function ensures these elements get established, communicated, and monitored. It informs what an organization should do to achieve and prioritize outcomes across all other functions based on mission and stakeholder expectations.
Hexaware’s approach includes AI-driven compliance automation that aligns security policies with frameworks like NIST, ISO 27001, and GDPR. Our system continuously evaluates cyber threats using AI-powered risk scoring models. We also automate third-party vendor risk assessments to ensure that those onboarded do not open an attack surface to cause you harm.
As a Microsoft partner, we implement Microsoft Purview for AI-driven data classification and compliance enforcement. This will help you understand your data landscape, classify sensitive information, and maintain compliance. We also deploy Microsoft Priva, which uses AI to assess privacy risks and ensure alignment with NIST governance requirements.
Our comprehensive security transformation helps establish cybersecurity strategies while ensuring compliance with multiple standards: GDPR, ISO 27001:2013, CIS, PCI DSS, AICPA TSC 2017, CCM, CSA Star, and NIST SP 800-53.
Identify: Asset Management and Risk Assessment
You can’t protect what you don’t know exists. The identify function enables understanding of organizational assets like data, hardware, software, systems, facilities, services, and people. This way, organizations can prioritize efforts consistent with their risk management strategy.
We provide AI-powered asset discovery with continuous monitoring and classification. Our attack surface management solution leverages AI-driven vulnerability assessments, while the threat intelligence platforms correlate feeds using AI.
Through our Microsoft partnership, we leverage Microsoft Defender for identity. It uses AI-driven behavioral analytics to detect identity-related risks. We implement Azure AI-powered asset discovery to automate asset visibility and classification. This allows you to maintain a clear understanding of your digital assets without manual tracking.
We conduct in-depth assessments based on zero-trust principles. Our teams evaluate security landscapes and identify gaps and vulnerabilities needing immediate attention. This approach helped a global healthcare provider achieve significant cost savings through legacy modernization and process enhancements for real-time transactions and regulatory compliance.
Protect: Security Measures and Safeguards
Protection requires proactive action, not passive monitoring. The protect function ensures safeguards manage cybersecurity risks to prevent or lower the likelihood and impact of adverse events.
Our Tensai® secure access solution provides data privacy through advanced algorithms that replace sensitive data with harmless equivalents. You can interact with AI without compromising sensitive information. Strategic token oversight, seamless platform harmonization, and transparent operations with comprehensive dashboards and audit trails come standard.
We implement AI-driven identity and access management with adaptive authentication and privileged access management. AI-based encryption and data protection features include automated data classification and access control. Security scanning gets integrated into your DevSecOps processes from the start.
As a Microsoft partner, we implement Microsoft Entra ID, which incorporates AI-based anomaly detection to identify identity threats and ensure proactive protection against unauthorized access. We deploy Microsoft Defender for Cloud to enhance security for cloud workloads with AI-driven proactive protection.
Real example: Our micro-segmentation implementation for a prominent global beverage company drastically improved their security posture. The solution effectively safeguarded against lateral movement and enhanced cloud security. We reduced their attack surface and prevented malware from migrating beyond the initial attack perimeter. Read the full case study here.
Detect: Threat Detection and Anomaly Monitoring
Early detection changes outcomes dramatically. The detect function supports timely discovery and analysis of anomalies, indicators of compromise, and other potentially adverse events.
In compliance with the NIST CSF, all our offerings incorporate AI-based security information and event management with AI-driven threat correlation and log analysis. AI-powered user and entity behavior analytics detect anomalies in user behavior, while AI-driven network traffic analysis identifies potential attacks through threat modeling. Endpoint detection and response capabilities analyze endpoint behavior using AI.
Through our partnership with Microsoft, we deploy Microsoft Sentinel—an AI-powered SIEM and security orchestration, automation, and response platform. It provides real-time threat detection across your digital infrastructure. We implement Microsoft Defender XDR, which leverages AI-driven cross-domain security analytics to detect and respond to threats across multiple domains.
For a leading health insurance provider, we deployed a comprehensive suite of Microsoft Defender solutions. Microsoft Defender served as their anti-virus solution. Microsoft Defender for Endpoint provided advanced threat detection and response. The integration of Azure Sentinel delivered advanced security threat analytics, deepened threat visibility, and enabled proactive threat hunting. Read the full case study here.
Respond: Incident Response and Mitigation
Speed determines impact when incidents occur. The respond function ensures actions regarding detected cybersecurity incidents are taken to contain their effects.
At Hexaware, all our cybersecurity offerings provide AI-powered security orchestration, automation, and response with automated response playbooks. AI-based threat hunting investigates threats automatically. Incident prioritization uses risk-based AI models. AI-powered chatbots serve as virtual analysts for the security operations center. Read this blog to gain deeper insights into how our AI capabilities bolster security operations centers.
As a trusted Microsoft partner, we leverage Microsoft Sentinel’s SOAR capabilities to automate response and remediation using AI. Organizations address threats quickly and efficiently. We deploy Microsoft Security Copilot, fueled by GPT-4 and Microsoft’s threat detection expertise. It breaks down incidents, links data, spells out attack paths, and suggests fixes tailored to specific setups.
Agentic AI systems lock down suspicious processes, cut off troubled systems, shut out dodgy connections, and alert teams—all within seconds. These autonomous AI agents continuously monitor, generate insights, take action, and improve over time.
Recover: Resilience and Recovery Planning
Recovery capabilities determine how fast you bounce back. The recover function ensures assets and operations affected by cybersecurity incidents are restored to support the timely restoration of normal operations.
Our AI-driven disaster recovery and business continuity planning predicts the impact of cyber incidents. It works in conjunction with automated recovery playbooks, which provide workflow automation for recovery. AI enhances cyber resilience through predictive models, while data backup validation using AI detects anomalies in backup data.
Through our Microsoft partnership, we implement Azure Backup and Site Recovery. These integrate AI-powered monitoring and validation of backup and recovery processes. Organizations recover data and systems effectively. We utilize Microsoft Defender Threat Intelligence, which provides AI-based analysis of threat impact post-incident. Organizations understand the attack scope and can take steps to prevent future occurrences.
For a global furnishings manufacturer, our security transformation enhanced their security posture, reduced risks, and paved the way for future innovation and success. The implementation resulted in enhanced security event management with real-time analysis and proactive response mechanisms. Swift identification and mitigation of potential threats became standard. Read the full case study here.
The Future of Autonomous Security
Agentic AI represents something fundamentally different. It moves beyond traditional machine learning tools and basic dashboards. Smart, goal-focused autonomous AI agents analyze logs, alerts, and network behavior to understand what’s happening. They process events within a full context. They develop plans that align with company objectives and rules. They take action without waiting for approval. And they continuously improve.
Traditional cybersecurity approaches show clear limitations against modern threats. Alert fatigue overwhelms teams. Security operations centers face constant bottlenecks. Rule-based systems suffer from blindness to novel attacks. Basic automation hits clear limits.
Attackers increasingly automate their operations. Organizations need autonomous defense systems capable of matching that sophistication.
Working closely with Microsoft, our AI solutions cover services from ideation to execution while adhering to best security practices. Our Responsible AI framework mitigates challenges by establishing guardrails of governance and ethics. This comprehensive approach, powered by Microsoft’s advanced technologies and our implementation expertise, helps organizations transition from reactive security to genuine autonomy.
Ready to transform your security posture? Contact Hexaware today at marketing@hexaware.com. Discover how our AI-driven cybersecurity solutions, aligned with NIST CSF 2.0 and delivered through our partnership with Microsoft, can protect your digital assets and empower your team.
