- The average enterprise receives thousands of security alerts daily; manual review capacity addresses a fraction, creating systematic blind spots
- The global mean time to detect a breach remains in excess of 180 days under conventional monitoring models
- The global mean time to detect a breach remains in excess of 180 days under conventional monitoring models
- The deployment of AI systems across the enterprise introduces novel attack surfaces , including prompt injection, model poisoning, and adversarial input manipulation , that legacy security tools cannot detect
- The deployment of AI systems across the enterprise introduces novel attack surfaces , including prompt injection, model poisoning, and adversarial input manipulation , that legacy security tools cannot detect
Threat visibility
- Conventional Security
- Reactive: post-incident detection
- DOT Cognitive Security
- Anticipatory: pre-incident behavioural recognition
Alert management
- DOT Cognitive Security
- Manual triage of all alerts , unsustainable at scale
- Alert management
- AI auto-resolves 90%+ of alerts; human teams review enriched priority cases
Response time
- Conventional Security
- Hours to days under manual review models
- DOT Cognitive Security
- Automated SOAR response within minutes of confirmed threat signal
Attack surface coverage
- Conventional Security
- Network perimeter and known signatures
- DOT Cognitive Security
- Automated SOAR response within minutes of confirmed threat signal
Regulatory alignment
- Conventional Security
- Evidence collected at point of audit
- DOT Cognitive Security
- Regulatory alignment Evidence collected at point of audit Continuous evidence capture for real-time compliance management
Cost trajectory
- Conventional Security
- Escalating as alert volumes and attack complexity increase
- DOT Cognitive Security
- Diminishing per-incident cost as AI detection capability compounds
- Identity verification is required for every resource access request, regardless of the user's location or authentication history
- Micro-segmentation limits the lateral movement of an attacker who has obtained initial access , containing the blast radius of any breach
- Privileged Access Management (PAM) applies the principle of least privilege, ensuring users and systems possess only the access rights required for their current task
- AI-driven access decisions analyse contextual signals , device posture, location, behaviour patterns, and request context , in real time
ISO 27001:2022
SOC 2 Type II
GDPR
ISO/IEC 42001
PCI DSS
NIS2 Directive
- Cognitive Security
AI-powered cybersecurity that applies behavioural analytics and machine learning to identify and respond to threats before they produce adverse impact.
- Zero Trust
An architectural security model in which no user, device, or application is implicitly trusted , all access requests are verified continuously against defined policy.
- vCISO
Virtual Chief Information Security Officer , a senior security executive provided by DOT on a fractional embedded basis, accountable for strategic security leadership.
- MTTD / MTTR
Mean Time to Detect / Mean Time to Respond , the primary operational performance metrics for security operations, measuring speed of threat identification and containment.
- SOAR
Security Orchestration, Automation, and Response , a platform that executes automated incident response playbooks upon confirmed threat signals, eliminating manual triage delays.
- Penetration Testing
Authorised, structured simulation of adversarial attack techniques, conducted to identify exploitable vulnerabilities before they can be leveraged by hostile actors.
- AI Red-Teaming
Structured adversarial testing of AI systems , including LLM models and automated decision systems , to identify vulnerabilities such as prompt injection, model extraction, and data poisoning.
- MITRE ATT&CK
A globally recognised framework cataloguing adversary tactics, techniques, and procedures , the foundational reference model for DOT’s Cognitive Security threat hunting operations
Conventional MDR services monitor for known threat signatures and escalate alerts to human analysts for investigation. DOT’s Cognitive Security model extends this substantially: our AI system analyses behavioural patterns to identify threat precursors , activity consistent with attack preparation , before any malicious action is executed. This anticipatory capability, combined with automated SOAR response and the MITRE ATT&CK behavioural database, delivers detection and containment at a speed and coverage level that conventional MDR cannot achieve.
DOT’s AI Ethics & Trust Governance service includes a dedicated AI Model Security assessment covering prompt injection resistance, data poisoning defences, model extraction vulnerabilities, and adversarial input handling. For organisations deploying customer-facing or decision-critical AI systems, DOT conducts structured AI red-teaming exercises , applying the same adversarial methodology used for traditional penetration testing to the AI system’s specific attack surface.
The DOT IR Retainer is structured as a monthly retained service with a defined response SLA of one hour from initial alert. The retainer scope covers forensic investigation, system containment, eradication and recovery support, threat actor attribution (where possible), and regulatory notification The DOT IR Retainer is structured as a monthly retained service with a defined response SLA of one hour from initial alert. The retainer scope covers forensic investigation, system containment, eradication and recovery support, threat actor attribution (where possible), and regulatory notification documentation documentation
Yes. DOT offers an ISMS adoption service for organisations with an existing Information Security Management System, conducting a gap assessment against ISO 27001:2022, updating documentation and controls to address identified deficiencies, and managing the certification audit process with an accredited certification body. Where organisations have recently experienced a major lapse in certification, DOT’s accelerated re-certification programme delivers audit readiness within eight weeks.
Engagements begin with a two-week current-state assessment of your identity infrastructure, network architecture, and access control policies. A Zero Trust target architecture is then designed and documented in weeks three and four. Phased implementation , commencing with identity and access management, followed by micro-segmentation and AI-driven access controls , typically spans twelve to sixteen weeks for a mid-market organisation. Full implementation timelines for enterprise-scale environments are scoped individually.
The Digital Operational Resilience Act applies to financial entities operating within the European Union , including banks, insurance companies, investment firms, and their critical third-party ICT service providers. DOT’s DORA compliance programme covers ICT risk management framework development, digital operational resilience testing, third-party provider risk management, and incident classification and reporting procedures. For non-EU financial entities serving EU clients, extraterritorial obligations may apply , DOT provides regulatory exposure analysis as part of the programme scoping.
Yes. DOT’s combined GCC Services and Cybersecurity practices deliver an integrated security architecture for GCC environments , covering both the technical security of GCC infrastructure and the governance of AI systems operated within the centre. This includes AI Ethics & Trust governance, vCISO programme support for GCC leadership, Cognitive Security operations covering GCC endpoints and cloud infrastructure, and AI-specific penetration testing for GCC-developed AI systems.