Security Service Layer
Cyber Security, Identity & Zero Trust
Agentic transformation is an identity programme before it is an AI programme. We close the gap between human and non-human identity — so autonomous AI scales inside scoped, audited authority.
of enterprise apps will run task-specific AI agents by end-2026
Gartner
non-human to human identities in cloud-native estates
Entro Security
of CISOs have limited-to-no visibility into AI agents
Saviynt
of organisations have an advanced AI security strategy
Palo Alto / HBR
Sources: Gartner (2025) · Entro Security / Entro Labs H1 2025 · Saviynt 2026 CISO AI Risk Report · Palo Alto Networks / Harvard Business Review (2025).
Four Practice Areas
A complete security spine for the agentic enterprise
Engage one as a bounded programme, or sequence all four from a North Star Review — each delivers stand-alone value whilst building toward governed autonomy.
Zero Trust
Remove implicit trust from every layer — user, device, network, workload and agent.
- ZTNA & micro-segmentation
- SASE rollout (Cloudflare, Palo Alto)
- Least privilege & zero standing privilege
- Identity Security Posture Management (ISPM)
- Conditional access & continuous verification
- Policy-as-code enforcement
Identity & Access Management
One auditable authority model across every human, machine and AI identity.
- Workforce & Customer IAM
- Joiner / Mover / Leaver lifecycle
- Identity Governance & Administration (IGA)
- Privileged Access Management (PAM)
- Directory Services & PKI
- XIAM & non-human / agent identity governance
Cyber Security & SecOps
Detect and respond at machine speed across the human and non-human attack surface.
- Managed Detection & Response (MDR / XDR)
- SIEM & SOAR engineering
- Runtime authorisation for agents
- Threat & vulnerability management
- Cloud security (CSPM / CNAPP)
- Incident response & resilience
Red Team & Offensive Security
Prove your controls hold under adversarial pressure — including against AI agents.
- Penetration testing
- Red & purple teaming
- Agentic red teaming & prompt-injection testing
- Breach-and-attack simulation
- GRC, audit & control mapping
- Board-ready assurance reporting
Packages
Productised, bounded, outcome-led
Mapped to our standard engagement models — start small, prove the value, then scale the autonomy.
North Star Review
1–2 weeksAdvisory & Architecture
Strategic alignment, agentic maturity baseline, and a clear programme thesis before any commitment.
Zero Trust Foundation
4–8 weeksDelivery Squad
ZTNA, segmentation, ISPM baseline and policy-as-code — implicit trust removed from every layer.
IAM & NHI Governance
6–12 weeksDelivery Squad
IGA/PAM, lifecycle automation, and non-human identity discovery, ownership and scoping.
Detection & Response Build
8–12 weeksBuild-to-Run
SIEM/SOAR, MDR runbooks and runtime authorisation, transitioned to your team.
Red Team Assessment
2–4 weeksAdvisory
Penetration test, agentic red team and GRC control mapping with prioritised remediation.
Agentic Governance
4–8 weeksDelivery Squad
ISPM, Rule-of-Two enforcement, shadow-AI discovery and audit mapping to NIST AI RMF.
Managed Security
OngoingManaged Delivery
SLA-backed SecOps, continuous posture management and board-ready assurance evidence.
Mapped to the standards your board and auditors expect
Start with one bounded workflow.
The question is no longer which AI model to use — it is what authority a system should have, under what oversight, toward what measurable outcome. Prove the value, then scale the autonomy you can actually trust.