Security that survives contact with an attacker

An automated scanner report with 400 'criticals' is not a security assessment — it is noise that teaches your team to ignore security. Our VAPT engagements pair automated coverage with manual exploitation: we verify every finding, chain low-severity issues into realistic attack paths, and rank the report by what an actual attacker could do with it. The result is a short list of things that genuinely matter, each with a proof-of-concept, reproduction steps and remediation guidance your engineers can act on immediately.

We test the way attackers test. Web applications and APIs are probed for the OWASP Top 10 and beyond — authentication flaws, broken access control, injection, business-logic abuse that no scanner can find. Mobile applications are examined for insecure storage, weak certificate handling and API-side weaknesses. Network and infrastructure testing covers external perimeters, internal segmentation, and misconfigurations in cloud accounts — public storage buckets, over-permissive IAM roles, exposed management interfaces.

Every engagement closes with a debrief, not just a document. We walk your engineering team through each finding, help prioritise fixes against your release cycle, and offer free retesting of remediated issues so you close the loop with evidence. For clients who need it, we provide an attestation letter you can share with customers, auditors and enterprise buyers who ask whether your product has been tested.

Pentesting finds vulnerabilities in a running application; AppSec finds the conditions that keep producing them. Our codebase audits examine authentication and session handling, authorisation logic at every layer, input handling, cryptography usage, and data-flow across the system — tracing how untrusted input travels from the edge to the database and back. We report not just where the flaw is, but why the surrounding design permitted it, so the class of bug is fixed rather than the instance.

The software supply chain is usually the softest target. We audit dependency health and known vulnerabilities, detect and revoke leaked secrets and API keys, and review how build artefacts are produced and signed. Where the development pipeline is weak — no code review gates, no SAST or dependency scanning, secrets in history — we design the secure SDLC: pre-commit hooks, CI security gates tuned to a low false-positive rate, and branch protection that makes insecure merges visibly expensive.

Security engineering only works when it fits how the team ships. We embed with your developers rather than issuing verdicts from outside: threat-modeling sessions at design time, security review checklists tailored to your stack, and training grounded in your own codebase — real examples from your system, not abstract slides. The outcome is a team that catches its own vulnerabilities before we do, release after release.

Compliance failures are rarely about missing documents; they are about controls that exist on paper and not in reality. We start with a gap analysis that tests your environment against the framework's actual requirements — interviewing the people who run the controls, sampling the evidence, and verifying that what the policy says the infrastructure does is what it actually does. You receive a scored gap report with remediation sequenced by audit risk and engineering effort, not by the order the clauses appear in the standard.

Implementation is where we differ from a consultancy that emails you templates. We build the missing controls: access reviews that actually run, logging and monitoring that produces audit evidence automatically, vendor-management and incident-response processes integrated into the tools your team already uses. For ISO 27001 we prepare the ISMS end to end — risk assessment, Statement of Applicability, internal audit and management review. For SOC 2 we define the trust-services criteria, run readiness, and coordinate with your auditor through the observation period. For GDPR we map data flows, establish lawful bases, and build DPIA and data-subject-request workflows. For HIPAA we address the Security Rule's administrative, physical and technical safeguards in the context of your specific systems.

The goal is that the second audit is easy. Once controls are engineered into operations, evidence collection becomes an automated by-product of running your business — dashboards and exports instead of screenshot archaeology. That is what turns compliance from a recurring crisis into a durable commercial asset that shortens enterprise sales cycles instead of stalling them.

A SIEM is only as good as what feeds it and what it does with the feed. We design the architecture first: which log sources actually carry signal — identity providers, endpoints, cloud audit trails, firewalls, email security, SaaS admin panels — and how to ingest them without blowing the budget on ingestion pricing. Retention, normalisation and correlation rules are mapped to your compliance obligations and your actual threat model, not to a vendor's default dashboard.

Detection engineering is the real work. Out of the box, most SIEMs ship thousands of rules that fire constantly and mean little. We build detections mapped to MITRE ATT&CK techniques relevant to your environment — impossible-travel and MFA-fatigue patterns on identity, privilege escalation in cloud control planes, lateral movement on the network, data exfiltration through egress patterns — and then tune them relentlessly against weeks of real telemetry until alert precision is high enough that an analyst trusts the queue.

We also make the SIEM operational: runbooks for every detection class, dashboards your leadership can read, metrics on mean time to detect and false-positive rate, and either training for your own analysts or integration with our monitoring service. Where a full commercial SIEM is overkill, we are honest about it — a well-configured lightweight pipeline or managed detection service often serves mid-sized teams better than a platform they cannot staff.

Detection without response is theatre. Our monitoring service watches the signals that matter — identity anomalies, endpoint alerts, cloud control-plane changes, network traffic patterns, application security events — with every detection triaged by a human analyst in minutes, not discovered in a quarterly log review. Alerts are tiered by severity with defined response expectations per tier, so a leaked credential and a suspicious login are treated as the different problems they are.

The monitoring model is built on context, because context is what separates an incident from a line item. An alert about an admin role change means one thing at 3am from an executive's account and another from a service principal during your deployment window. We baseline your normal operations first — deployment rhythms, travel patterns, maintenance windows — so anomalies are judged against your reality and the alert queue stays small enough to be read.

Coverage wraps around the response loop. Every triaged alert feeds back into detection tuning; every incident produces detection improvements and playbook updates; and you receive monthly reporting on what was seen, what was investigated and what changed as a result. When action is needed, we execute the containment playbook — session revocation, isolation, credential rotation — and keep your team informed throughout, with a full timeline of what happened and why.

Endpoints are where breaches actually happen: a phished employee, an unpatched server, a contractor's device. We deploy and tune EDR across your fleet — workstations, servers, and cloud workloads where relevant — starting with an inventory of what exists, because you cannot defend an endpoint nobody knows about. Platform selection is based on your OS mix, team size and detection needs, with an honest comparison of the candidates rather than a single-vendor pitch.

Deployment is the easy part; policy tuning is where EDR succeeds or fails. We configure detection policies progressively against your real environment: blocking known-bad execution first, then suspicious behaviours like credential dumping, living-off-the-land abuse and persistence mechanisms, all while measuring false-positive impact on developer machines and production servers before enforcing. Unmanaged and BYOD devices are either brought under management or explicitly fenced out of sensitive resources — the worst position is pretending they are covered.

Response capability is the point of EDR, so we make it real: isolation playbooks tested against a live device, automated containment for high-confidence threats, remote forensic triage so an analyst can determine scope before anyone touches the machine, and integration with your SIEM and ticketing so EDR alerts land in the same workflow as everything else. Ransomware-specific controls — backup tampering detection, mass-encryption behaviour blocking — are validated with a tabletop exercise, not assumed.

The worst time to design an incident response process is during an incident. We build your IR capability before you need it: an incident response plan with severity definitions, escalation trees and communication templates; playbooks for the scenarios most likely to hit you — ransomware, business email compromise, credential theft, data exposure, insider misuse; and a tested chain of custody for evidence so nothing you collect is spoiled for legal or regulatory use. Tabletop exercises with your leadership rehearse the decisions that cannot wait for a meeting.

When you call, the first hours follow a disciplined sequence: scope the intrusion, contain the spread without destroying evidence, preserve volatile data before it disappears, and establish a single communication channel so decisions are not made in panic. Our forensics work answers the questions regulators, insurers and your board will ask: how did they get in, how long were they present, what accounts and data were accessed, and is the attacker actually gone. Disk, memory and cloud audit-trail analysis are performed with evidence integrity intact.

After recovery comes the part most organisations skip, and where we put real weight: the post-incident review that converts an incident into structural change. Root cause is traced beyond the vulnerability to why the process allowed it — the missing MFA, the unmonitored service, the offboarded employee's active account — and remediation is tracked to completion. Where breach notification obligations exist under GDPR or sector regulation, we prepare the timelines, documentation and regulator-ready reporting your counsel needs.

Most breaches now start with an identity, not an exploit: a phished password, a stale service account, an over-permissive role. We design IAM around zero-trust principles — SSO federation across your workforce applications, phishing-resistant MFA enforced everywhere it can be, conditional access that weighs device health and location, and privileged access that requires just-in-time elevation instead of standing admin rights. Shared accounts and emergency-access 'break-glass' credentials are managed explicitly, with alerts on use.

Lifecycle is where access control decays, so we automate it: joiner-mover-leaver workflows driven by your HR system, quarterly access reviews that actually complete, automated deprovisioning the moment employment ends, and an inventory of service accounts with owners, secrets rotation and least-privilege scoping. Service identities and API credentials get the same discipline as humans — short-lived tokens where possible, secrets managers everywhere, and no long-lived keys in code or CI configuration.

Encryption policy covers data at rest, in transit and increasingly in use. We define classification-driven standards: what must be encrypted, with which algorithms, under which key hierarchy — then implement it: managed key services with rotation, customer-managed keys where regulation demands them, TLS configuration hardened to modern standards, and field- or token-level protection for the most sensitive data. Key access is audited and restricted with the same least-privilege rigour as every other identity, because a key vault that anyone with admin rights can read is a lock on a paper door.

Flat networks are how a single phished laptop becomes a company-wide incident. We redesign network architecture around segmentation and zero-trust assumptions: workloads grouped by sensitivity and function, east-west traffic explicitly allowed rather than implicitly trusted, and administrative access reachable only through bastion or identity-aware proxy paths. In cloud environments this means security groups and network policies generated as code, VPC design with private subnets and controlled peering, and no resource with an internet route that does not genuinely need one.

Firewall and WAF management is a discipline, not a setup task. We manage rule sets as living configuration: reviewed on a schedule, tested for shadowed or dead rules, and changed through the same review process as application code. Web application firewalls are tuned against your actual traffic — starting in monitor mode, measuring false positives, then enforcing — and paired with rate limiting and bot management tuned to your real user patterns rather than aggressive defaults that block customers.

Egress is the forgotten half of network security, and it is where exfiltration happens. We control and log outbound traffic, DNS and SaaS access so a compromised workload cannot quietly phone home to an attacker's infrastructure. Everything is monitored as part of the wider detection stack: firewall logs feed the SIEM, denied-traffic anomalies become detections, and changes to network configuration trigger alerts — because attackers increasingly tamper with network controls first to cover their tracks.

Technology cannot stop an employee who approves a fraudulent invoice or hands over an MFA code to a convincing caller — and annual compliance slide decks do not change anyone's behaviour. We build awareness programmes grounded in how adults actually learn: short, frequent, role-relevant content. Finance teams get business email compromise and invoice-fraud scenarios; engineers get dependency and supply-chain attacks using examples from real ecosystems; executives get whaling and impersonation attacks aimed at their authority; everyone gets the phishing and MFA-fatigue patterns that target them daily.

Simulation is where training meets reality. We run phishing and social-engineering campaigns that mimic the techniques currently hitting your industry, with difficulty that ramps over time and — critically — a no-blame culture around results: clicking is data, not discipline. Every simulation feeds targeted follow-up, so a person who falls for a credential-harvest page gets a two-minute interactive lesson, not a policy PDF. Repeat-clicker patterns are handled privately and supportively with the person's manager, because public shaming teaches employees to hide mistakes rather than report them.

The programme is measured on behaviour, not attendance: phishing report rates rising, time-to-report falling, simulated-result trends per department, and a growing volume of real employee reports — because the goal is not employees who never click, it is employees who notice and report fast enough to make your response effective. We report these metrics quarterly and adjust the curriculum against what the threat landscape is actually doing to your sector.