Cybersecurity Operations and Consulting

• Identify vulnerabilities in networks, applications, processes, and systems
• Get a detailed cybersecurity roadmap outlining steps to bridge the gap from your current posture to your desired future state.

• Begin with the Risk Assessment to provide an initial security baseline and remediation roadmap.
• Evaluate your security program and controls against compliance frameworks such as PCI DSS, HIPAA, ISO, 27001, NIST Cybersecurity Framework, CIS Critical Security Controls,  and other popular security standards.
• Address identified gaps and get risk reduction recommendations with included monthly vCISO hours.
• Access Incident Readiness (IR) plan development and tabletop exercises with included Cyber Incident Readiness services.
• Monitor cyber risk remediation progress and discuss evolving relevant threats in monthly cyber risk meetings.

• Plan and implement to achieve compliance with security frameworks, including PCI DSS, HIPAA, ISO 27001, NIST Cybersecurity Framework, CIS Critical Security Controls, and other popular security standards.
• Establish a framework of trust with customers and partners through data protection compliance with regulations like GDPR.
• Meet compliance requirements for frameworks encompassing data protection regulations like Cybersecurity
• Maturity Model Certification (CMMC).
• Ensure all applications are secure throughout their lifecycle.  

• Update your Incident Response (IR) plan and engage in IR tabletop exercises to ensure all employees understand cyber incident response procedures.
• Evaluate your organization’s detection and recovery capabilities, including your ability to identify malicious actors and how quickly you can restore operations after an attack.
• Ensure fast recovery and minimal downtime after an incident with proactive backup and disaster response.

• Initiate PTaaS in both network and web application to identify vulnerabilities across internal infrastructure, external assets, and customer-facing applications.
• Uncover vulnerabilities, exposed credentials, and potential attack vectors through automated and manual exploitation techniques and open-source intelligence (OSINT).

• Data Discovery and Classification: Identify and classify sensitive data across structured and unstructured sources (databases, cloud storage, SaaS apps) to gain visibility into where critical data lives and who has access.
• Risk and Compliance Assessment: Continuously evaluate data exposure, access permissions, and policy violations against compliance frameworks (e.g., HIPAA, SOC 2, NIST 800-53) to reduce risk and maintain regulatory alignment.
• Product Implementation and Integration: Deploy DSPM solutions and integrate them with SIEM, IAM, and DLP tools to automate remediation workflows, enforce least privilege, and monitor ongoing data posture.
• Ongoing Monitoring and Remediation: Provide real-time alerts, risk scoring, and automated remediation actions (e.g., revoking excessive access, encrypting sensitive data) to improve security posture over time. 

• Gap Identification and Risk Mapping: Evaluate your organization’s AI systems against NIST AI RMF functions (Govern, Map, Measure, Manage) to identify gaps in governance, transparency, data integrity, bias mitigation, and security controls.
• Cybersecurity Risk Assessment Integration: Conduct a parallel risk assessment using CIS Critical Security Controls to ensure your organization’s broader IT environment is secure and resilient against threats that could compromise AI systems.
• Risk Prioritization and Mitigation Plan: Score risks based on potential harm (e.g., bias, misuse, privacy impact, security vulnerabilities) and develop prioritized remediation steps with clear ownership and timelines.
• Continuous Monitoring and Improvement: Establish metrics and monitoring processes to regularly reassess AI risks, validate model performance, and ensure compliance with NIST AI RMF guidance as models and regulations evolve. 

• Cyber Risk Management (CRM): Identify risks, prioritize fixes, and guide remediation with governance
• Human Risk Management (HRM): Reduce employee-driven risks with awareness training, email and identity security, and monitoring. 
• Attack Surface Management (ASM): Continuously monitor, evaluate responses to simulated attacks, and remediate exposures across IT systems, applications, and cloud services.
• Managed Detection & Response (MDR): 24/7 detection and rapid response across endpoints, networks, and cloud services 

Managed Detection

• Detection: Monitor servers and applications for anomalies and unauthorized changes.
• Network Detection: Identify suspicious traffic, lateral movement, and data exfiltration.
• Cloud Detection: Secure multi-cloud environments against misconfigurations and unauthorized access.
• Endpoint Detection (EDR): Detect and respond to malware, ransomware, and advanced endpoint threats.
• Threat Correlation: Correlate alerts from email security, IDS, firewalls, EDR, and SIEM for unified threat visibility.
• Threat Hunting: Proactively search for hidden threats using IOCs, TTPs, and intelligence feeds. 

Managed Response 

• Rapid Containment: Immediately contain the threat, stop its spread, and minimize its damage.
• Automated First-Response: Automatically implement critical actions like isolating a compromised host, terminating malicious processes, or quarantining suspicious files.
• Human Remediation Steps: Get expert security analyst oversight to contain and eliminate the threat by removing malicious files, patching vulnerabilities, and restoring systems to a clean state.
• Continuous Improvement: Uses the findings after an attack to refine detection rules and playbooks, strengthening your defenses against similar future attacks.