Findings arrive faster than any team can action them. Ranking comes from a generic score with no view of reachability.
What goes wrong: a critical sits on a container with no network path, while the medium on the public ingress waits a quarter.
Build-time checks say what was packaged. Nothing watches the process that spawns a shell inside a running pod.
What goes wrong: a miner runs nine days in a namespace that passed every image scan and every admission check.
No inventory, no threat model, no test suite, no control plane. Security learns the system exists after launch.
What goes wrong: the assistant answers a support prompt with another customer's contract terms, and the log shows nothing.
Every assessment ends in a change plan we are willing to execute ourselves, with named owners and dates.
Detail: policy written by the engineer who ran the assessment.
Automated adversarial runs give coverage. The findings that matter come from chained, multi-turn manual work.
Detail: tool abuse and retrieval poisoning, reproduced step by step.
Handover is a working system, documented policy and a trained team, not a slide pack and an invoice.
Detail: runbooks, tuning rationale and exception register included.
A modern cloud-native and AI security platform is one place where posture, identity, data and runtime share the same asset graph, so a finding carries its blast radius with it. That is what makes prioritisation possible and enforcement safe. Below is what we assess, implement and operate — described as the problem it solves, never as a product.
Configuration and permission are where most breaches still start. The work is holding a clean state over time rather than producing another inventory nobody reads.
Asset inventory, misconfiguration, drift detection and benchmark compliance across all three clouds.
Prevents: a bucket opened during an incident and never closed afterwards.
Least privilege across clouds, permission correlation, and identity risk ranked by reachable impact.
Prevents: a build role assuming production admin through two unmapped hops.
Where sensitive data actually lives across clouds and object stores, and who can currently reach it.
Prevents: a copy of the customer table in an analytics account outside every control.
Continuous evidence against recognised standards and benchmarks, taken from the platform you already run.
Prevents: screenshot collection the week before an audit, every audit.
Code, dependencies and APIs produce more signal than any team can read. Correlation is the point: one exploitable path ranked above a thousand theoretical ones.
Correlate signals from code to cloud so the exploitable vulnerability surfaces above the noise.
Prevents: the one reachable critical buried on page nine of an export.
Shadow and orphan API discovery, schema validation, access control and rate limiting at the edge.
Prevents: a deprecated endpoint still serving unauthenticated customer reads.
Dependency drift, third-party library risk, and multi-format SBOM ingestion and reporting.
Prevents: a transitive compromise you learn about from the news cycle.
Hardcoded credential scanning, rotation workflow, and runtime hardening of secrets in use.
Prevents: a long-lived cloud key in a public repository, still valid.
Continuous exposure management with centralised logging and enough noise reduction to act.
Prevents: an analyst muting the channel that would carry the real alert.
AWS, Azure and GCP, single or multi-account, with managed and self-managed Kubernetes.
Self-hosted control plane inside your own datacentre, under your own change process.
No outbound connectivity, offline update paths and local policy distribution. Built for BFSI and public sector.
Constrained nodes and intermittent links, with policy cached locally and enforced without the console.
Three engagements. Each one has a fixed shape, a named engineer and something concrete you keep at the end.
For a security leader who needs a defensible picture of exposure before spending budget. Two to four weeks, depending on estate size.
Cloud configuration and identity paths, cluster posture and runtime behaviour, the AI systems in production and the tooling you already own.
For a team that has bought the platform, or is about to, and needs it landed properly. Four to twelve weeks.
Policy tuning. Deployment is a weekend of work; the months that follow decide whether anyone trusts prevention mode enough to leave it on.
For a team running the platform who needs it to stay accurate as the estate changes. Monthly, rolling, cancellable.
A monthly review with your platform and security engineers, plus an on-call channel for anything the policy blocks unexpectedly.
Every model, agent, retrieval store and third-party AI API, with the credentials and data each one can reach.
Output: AI asset register
Per system: what an attacker wants, which tool calls reach it, and what excessive agency looks like here.
Output: abuse cases, ranked
Automated suites for breadth, then manual chains: multi-turn jailbreaks, tool abuse, prompt extraction, retrieval poisoning.
Output: reproducible findings
Enforcement between users, models and tools, tuned against your own traffic until false positives stop.
Output: policy in prevention
Runtime monitoring wired into your existing operations, with control evidence produced as a by-product.
Output: alerts and audit trail
Your team runs it. The attack chains become a suite that runs on every model or prompt change.
Output: working control plane
No offshore handoff after the statement of work is signed. No junior consultant learning your estate at your expense. You talk to the engineer doing the work, and that engineer is named in the contract.
One senior engineer owns the engagement end to end.
We say when a tool is wrong for you, including one we could sell.
Deliverables are technical artefacts, not slideware.
Pricing is scoped per engagement. No public price list, no seat maths.
SecureGap was founded by practitioners who spent years implementing enterprise security platforms inside large organisations. The pattern repeated: the platform was bought, deployed to a pilot, tuned for nobody, and left in monitor mode for two years. The gap was never the technology. It was that nobody stayed to finish the job.
Technical demonstrations delivered to enterprise security teams.
Proofs of concept run against real production constraints.
Production deployments taken to live enforcement, not pilot.
Vendor-certified, and certified to train other implementers.
That work was network security, not the platforms on this site. We list it because it is evidence of delivery capability at enterprise scale — scoping, deploying, tuning and handing over under real change control. It is not a service we sell today.
A named engineer on every engagement, in the contract, reachable directly.
We tell you when a tool is wrong for your estate, before you buy it.
We finish what we deploy, in prevention mode, with the noise tuned out.
We do not disappear at handover. Documentation and training are part of it.
SecureGap Technologies OPC Pvt Ltd
Noida, Uttar Pradesh, India
India, Middle East, US, EU and UK
We will come back within one working day with a scoping call slot and an honest read on whether we are the right fit.
SecureGap Technologies OPC Pvt Ltd
Noida, Uttar Pradesh, India
Clients across India, the Middle East, the US, the EU and the UK.