Our Cybersecurity & AI Security Services
Practical security services for modern digital environments.
We help organizations identify risks, strengthen defenses, improve monitoring, and adopt emerging technologies securely. Our services cover offensive testing, application security, SOC engineering, 24/7 managed detection and response, cloud-native security, incident response, awareness training, governance, and modern AI security challenges.
Vulnerability Assessment
Identify exploitable weaknesses across web applications, infrastructure, cloud assets, and WordPress environments.
Typical timeline: 3 to 7 business days, depending on scope size and retest needs.
Our Vulnerability Assessment service helps organizations identify exploitable weaknesses across web applications, internal infrastructure, cloud assets, and WordPress environments before attackers can abuse them. We perform structured security reviews to uncover misconfigurations, outdated software, insecure exposure, weak access controls, and application-level flaws.
Our assessment includes OWASP-based checks, vulnerability discovery, manual validation, and risk-based analysis. We do not only list vulnerabilities; we validate their relevance, severity, and potential business impact.
Key focus areas
- OWASP-based web application checks
- Infrastructure and service exposure review
- WordPress core, plugin, and configuration risks
- Cloud asset misconfiguration review
- Risk-based vulnerability reporting
- Clear remediation guidance
What you receive
- Asset and exposure summary with validated findings.
- Severity-ranked remediation plan with owners and evidence.
- Retest checklist for confirming fixes are closed.
A prioritized report that helps your team understand what to fix first, why it matters, and how to reduce risk effectively.
Penetration Testing
Controlled testing that validates whether vulnerabilities can be chained into real business impact.
Typical timeline: 1 to 3 weeks, with daily updates for active testing windows.
Our Penetration Testing service provides controlled, authorized security testing to determine whether identified vulnerabilities can be exploited and chained into real business impact. Unlike a basic vulnerability scan, penetration testing focuses on attacker behavior, exploitability, and practical risk.
Testing is performed in a controlled and ethical manner. We validate vulnerabilities safely, identify chained attack paths, and assess whether a weakness can lead to unauthorized access, data exposure, privilege escalation, or operational disruption.
Key focus areas
- Web application testing
- Network and infrastructure testing
- Authentication and authorization review
- Privilege escalation assessment
- Business logic testing
- Executive and technical reporting
What you receive
- Rules of engagement and test scope confirmation.
- Attack narrative showing how weaknesses can be chained.
- Technical reproduction steps plus executive risk summary.
A clear view of real-world security exposure, including practical evidence, business impact, and remediation steps.
Red Team Operations
Goal-driven adversary simulation that tests how well your people, processes, and detection stack withstand a realistic attack campaign.
Typical timeline: 2 to 6 weeks, including planning, execution, and joint debrief.
Our Red Team Operations service simulates a realistic, goal-driven attack campaign against your organization to test how well people, processes, and technology stand up to real adversary behavior. Instead of listing vulnerabilities, we pursue agreed objectives — such as reaching a critical system or sensitive data set — and record every step, detection, and missed signal along the way.
We plan objectives and safe rules of engagement with your team, execute the campaign using real-world tactics mapped to MITRE ATT&CK, coordinate safety checkpoints with trusted contacts, and record which actions were detected, alerted, and escalated. Every technique is executed in a controlled, authorized, and reversible way.
Key focus areas
- Goal-based adversary emulation
- MITRE ATT&CK-mapped campaigns
- Detection and alerting validation
- Response and escalation measurement
- Purple team debrief sessions
- Defensive improvement roadmap
What you receive
- Campaign timeline showing each action, detection, and missed signal.
- MITRE ATT&CK-mapped detection coverage report.
- Prioritized remediation and detection engineering backlog.
Objective, evidence-based answers about how a real attack would unfold — and a concrete plan to make the next one fail earlier.
Application Security & Code Review
Build security into your software lifecycle with secure code review, threat modeling, and dependency risk analysis.
Typical timeline: 1 to 4 weeks, depending on codebase size and number of components.
Our Application Security & Code Review service helps engineering teams find and fix security flaws at the source. We combine manual secure code review, threat modeling, and dependency analysis to catch issues automated scanners miss — including business logic flaws, broken authorization, and unsafe data handling.
We map trust boundaries and data flows, review high-risk code paths manually, model realistic abuse cases, and audit third-party dependencies for known vulnerabilities and risky update practices. Findings come with concrete code-level fix guidance, not generic advice.
Key focus areas
- Manual secure code review
- Application threat modeling
- Authentication and authorization review
- Dependency risk analysis
- Secure coding patterns and fix examples
- SDLC and pipeline hardening
What you receive
- Annotated code findings with severity and fix examples.
- Application threat model and abuse case catalogue.
- Dependency risk report and secure SDLC recommendations.
Fewer vulnerabilities reaching production, faster security signoffs, and an engineering team that writes safer code by default.
SOC & SIEM Engineering
Build high-fidelity security monitoring using SIEM, EDR, NDR, and cloud telemetry.
Typical timeline: 2 to 6 weeks, depending on telemetry quality and number of use cases.
Our SOC & SIEM Engineering service helps organizations build high-fidelity security monitoring using SIEM, EDR, NDR, cloud telemetry, and security logs. We design, onboard, tune, and improve detection capabilities so security teams can detect meaningful threats with less noise.
Our work includes use case design, parser onboarding, normalization, field mapping, dashboarding, alert logic development, and detection tuning. We focus on creating detections that are practical, contextual, and aligned with business risk.
Key focus areas
- SIEM use case design
- Parser onboarding and field normalization
- EDR, NDR, firewall, cloud, and application log integration
- Detection logic development
- Dashboard creation
- Alert tuning and false-positive reduction
What you receive
- Detection use case catalogue with log source requirements.
- Parser, rule, dashboard, and triage workflow recommendations.
- Alert tuning notes with test events and analyst handoff guidance.
Stronger security monitoring, better investigation visibility, and more actionable alerts for SOC teams.
Managed Detection & Response
24/7 monitoring, triage, and threat hunting that turns your telemetry into round-the-clock protection.
Typical onboarding: 1 to 3 weeks, then continuous 24/7 coverage.
Our Managed Detection & Response service provides continuous security monitoring, expert alert triage, proactive threat hunting, and guided incident response. We combine your existing telemetry — SIEM, EDR, cloud, and identity logs — with experienced analysts so threats are found and contained around the clock.
Analysts triage every alert, separate real threats from noise, investigate suspicious activity across your telemetry, and hunt proactively for indicators that automated rules miss. Confirmed threats trigger guided containment with your team, following pre-agreed response authority.
Key focus areas
- 24/7 monitoring and alert triage
- Proactive threat hunting
- Incident investigation and containment
- EDR, SIEM, cloud, and identity coverage
- Escalation playbooks and response authority
- Monthly threat and coverage reporting
What you receive
- Continuous monitoring with defined response-time targets.
- Incident investigation summaries with containment actions.
- Monthly threat, trend, and detection coverage reports.
Threats detected and contained in hours instead of weeks — without the cost of building your own 24/7 SOC.
Incident Response
Prepare, respond, contain, and recover from security incidents with actionable playbooks.
Typical timeline: same-day triage for urgent cases, then phased recovery and reporting.
Our Incident Response service helps organizations prepare for, respond to, contain, and recover from cybersecurity incidents. We provide structured support during security events and help organizations build repeatable response processes through actionable playbooks.
We help analyze available evidence, determine potential impact, identify affected systems, recommend containment actions, and support recovery planning. We also help document lessons learned after the incident.
Key focus areas
- Incident triage support
- Containment planning
- Malware, phishing, compromise, and unauthorized access review
- Incident timeline development
- Post-incident reporting
- Detection and response improvement recommendations
What you receive
- Triage summary, affected asset map, and containment priorities.
- Evidence handling guidance and executive status reporting.
- Post-incident root cause and hardening recommendations.
Faster response, reduced damage, better documentation, and stronger readiness for future incidents.
Cloud & Kubernetes Security
Secure workloads, identities, network exposure, secrets, and audit logging in cloud-native environments.
Typical timeline: 1 to 4 weeks, depending on number of accounts, clusters, and workloads.
Our Cloud & Kubernetes Security service helps organizations secure cloud-native environments by reviewing workloads, identities, network exposure, secrets, audit visibility, and hardening baselines. We focus on practical controls that reduce risk in modern cloud and container environments.
We review configuration, identity access, workload exposure, audit visibility, and operational security practices. We also identify gaps that may prevent effective detection, investigation, or compliance.
Key focus areas
- Cloud IAM review
- Kubernetes RBAC assessment
- Kubernetes audit visibility
- Secrets and configuration review
- Container and workload exposure assessment
- Hardening baseline development
What you receive
- Cloud and cluster exposure map with identity and network risk.
- Hardening baseline for IAM, secrets, workloads, logging, and ingress.
- Prioritized remediation backlog aligned with engineering workflows.
Improved cloud-native security, stronger identity controls, better audit visibility, and reduced misconfiguration risk.
Security Awareness Training
Turn employees into a defensive layer with phishing simulations, role-based training, and a culture of reporting.
Typical timeline: 2 to 4 weeks for the first campaign cycle, then quarterly reinforcement.
Our Security Awareness Training service strengthens the human layer of your defense. Most breaches start with a person — a clicked link, a reused password, an urgent-sounding phone call. We run realistic phishing simulations, deliver engaging role-based training, and measure real behavior change over time.
We baseline your organization with a controlled phishing simulation, deliver practical training built around the attacks your staff actually receive, and re-test to measure improvement. Reporting focuses on trends and risk reduction, never on shaming individuals.
Key focus areas
- Realistic phishing simulations
- Role-based training workshops
- Executive and finance targeted-attack drills
- AI-phishing and deepfake awareness
- Reporting culture development
- Quarterly measurement and reinforcement
What you receive
- Phishing simulation results with department-level trends.
- Training sessions and materials tailored to your threat profile.
- Awareness program roadmap with quarterly measurement.
Lower click rates, faster threat reporting, and employees who treat security as part of their job — with metrics to prove it.
GRC & Compliance
Translate security requirements into practical policies, evidence collection, and measurable controls.
Typical timeline: 2 to 8 weeks, based on framework scope and evidence maturity.
Our GRC & Compliance service helps organizations translate security requirements into practical policies, measurable controls, evidence collection processes, and audit-ready documentation. We bridge the gap between technical security operations and governance requirements.
We help define clear security responsibilities, map controls to business requirements, prepare documentation, and identify gaps between current practices and expected security standards.
Key focus areas
- Security policy templates
- Control mapping
- Risk register support
- Audit readiness checklists
- Evidence collection planning
- Compliance gap assessment
What you receive
- Control gap register with evidence status and accountable owners.
- Policy, procedure, and evidence templates adapted to your environment.
- Audit readiness roadmap with quick wins and longer-term controls.
Clearer governance, better audit preparation, measurable security controls, and improved accountability.
AI Security Assessment
Review AI systems, workflows, and integrations for abuse paths, insecure data handling, and business risk.
Typical timeline: 1 to 3 weeks for an initial AI risk and control assessment.
Our AI Security Assessment service helps organizations review AI systems, workflows, integrations, and data handling practices for abuse paths, insecure design, and business risk. As AI adoption grows, organizations need to understand how AI tools can introduce new security, privacy, and governance challenges.
We identify where AI is used, what data it processes, who can access it, how outputs are used, and what controls exist to prevent misuse. We also perform threat modeling to understand business-specific AI risks.
Key focus areas
- AI asset inventory
- AI workflow and integration review
- Threat modeling
- Sensitive data handling assessment
- Abuse path identification
- Control gap reporting
What you receive
- AI asset and workflow inventory with data classification notes.
- Threat model covering misuse, leakage, unsafe automation, and vendor risk.
- Control roadmap for policy, access, monitoring, and approval workflows.
Safer AI adoption, reduced data leakage risk, improved oversight, and stronger security controls around AI usage.
LLM Application Security
Test chatbots, copilots, agents, and RAG applications for prompt injection, data leakage, and unsafe tool use.
Typical timeline: 1 to 3 weeks, depending on number of tools and retrieval sources.
Our LLM Application Security service focuses on testing chatbots, copilots, agents, and Retrieval-Augmented Generation applications for AI-specific security risks. We assess whether large language model applications can be manipulated into leaking data, bypassing controls, or using connected tools unsafely.
We test how the LLM application responds to malicious or unintended inputs, whether it can expose confidential information, and whether connected tools are properly restricted. We also review guardrails, access controls, retrieval boundaries, and user role separation.
Key focus areas
- Prompt injection testing
- RAG exposure review
- Sensitive data leakage testing
- Agent tool guardrail assessment
- Authorization and access control review
- LLM logging and monitoring recommendations
What you receive
- Prompt injection, data leakage, retrieval, and tool-abuse findings.
- Guardrail recommendations for permissions, prompts, retrieval, and action boundaries.
- Production launch checklist for monitoring, logging, and fallback behavior.
Stronger protection against AI-specific attacks, safer automation, reduced data exposure, and more reliable LLM application design.
AI Governance & Risk
Build practical governance for responsible AI adoption, vendor review, policy controls, and audit readiness.
Typical timeline: 2 to 5 weeks for policy, review workflow, and rollout plan.
Our AI Governance & Risk service helps organizations build practical governance structures for responsible AI adoption. We support AI policy development, vendor review, risk classification, compliance mapping, and audit readiness.
We help organizations define how AI tools should be approved, used, monitored, and reviewed. We also help classify AI systems based on risk and establish practical governance controls without slowing down innovation.
Key focus areas
- AI policy framework
- AI usage guidelines
- Vendor risk review
- AI risk classification
- Compliance mapping
- Audit readiness support
What you receive
- AI governance policy with approval and exception workflow.
- Vendor and use-case risk review template.
- Control map for ownership, monitoring, training, and audit evidence.
Responsible AI adoption, better accountability, improved compliance alignment, and reduced organizational AI risk.
Data & Model Protection
Protect model pipelines, training data, embeddings, APIs, and sensitive outputs from misuse or exposure.
Typical timeline: 2 to 4 weeks, depending on pipeline complexity and data sensitivity.
Our Data & Model Protection service helps organizations protect machine learning pipelines, training data, embeddings, model APIs, and sensitive outputs from misuse, unauthorized access, and exposure. We focus on securing the data and model lifecycle from development to production.
We map how data moves through AI and ML systems, identify where sensitive information may be exposed, and review whether model access is properly controlled. We also evaluate monitoring and logging to detect misuse or abnormal access.
Key focus areas
- Data flow review
- Model access control
- Training data protection
- Embedding and vector database security
- Model API exposure review
- Logging and monitoring recommendations
What you receive
- Data and model flow map from ingestion to output.
- Access control, retention, logging, and monitoring recommendations.
- Protection plan for embeddings, APIs, datasets, and model artifacts.
Better protection for sensitive data, stronger control over model access, safer AI pipelines, and reduced risk of misuse or exposure.