Solutions
Preempt attacks and outages, measured on your own systems.
Exposures closed sooner. Attacks contained sooner. More incidents resolved before they page your team. Every solution is held to a 90-day KPI scorecard, committed against a baseline measured in your own systems, across CyberSec, AI security and SRE.
- Preempt early, not resolve faster.
- Personalised solutions, not generic products.
- Pay for outcomes, not licences.
The outcomes you hold us to.
CYBERSEC
- Exposures found and closed sooner. Measured by MTTD and MTTP.
- Stolen credentials revoked sooner. Measured by MTTK.
- Attacks contained sooner, with every change approved. Measured by MTTC.
AI SECURITY Early access
- More agent activity checked before it happens. Measured by AGC.
- More AI use inside your boundary, and less sensitive data leaving it. Measured by DBC and sensitive data sent to unapproved destinations.
- More agents with a named owner. Measured by agents with an owner.
SRE
- Incidents raised sooner, and more of them resolved before they page. Measured by MTPI and incidents resolved before a page.
- Fewer repeat incidents. Measured by RPR and repeat incidents.
- Fewer pages per engineer. Measured by PPE.
We measure how early, not how fast.
| MTTK · Mean Time to Kill a stolen credential | breach notification lag | down against your diagnostic baseline |
|---|---|---|
| AGC · Agent Governance Coverage | after-the-fact AI audits | up against your diagnostic baseline · checked before execution |
| MTTD · Mean Time to Discover an exposure | exposure found once a year, by the penetration test | down against your diagnostic baseline |
| MTTP · Mean Time to Prevent exploitation | patch SLA ageing reports | down against your baseline · exploited and reachable closed first |
| PSC · Pre Ship Closure | vulnerability backlog counts | up against your diagnostic baseline |
| MTTC · Mean Time to Contain | dwell-time averages | down against your baseline · a human approval on every change |
| MTPI · Mean Time to Predict an Incident | mean time to respond | down against your baseline · more incidents resolved before they page |
|---|---|---|
| RPR · Repeat Prevention Rate | raw incident counts | up against your baseline · the same cause does not return |
| BRC · Blast Radius Coverage | change advisory boards | up against your baseline · change failure rate held or improved |
| THR · Toil Hours Returned | ticket closure counts | up against your baseline · reported every sprint |
| SNR · Signal to Noise Ratio | raw alert volume | up against your baseline · false pages down, real issues seen sooner |
| PPE · Pages Per Engineer | on-call heroics | down against your baseline · reviewed quarterly |
Every solution carries its own headline metric. Targets are committed in the 90-day scorecard, never published in advance.
Why preemptive
Attacks and outages are decided before they start.
A breach rarely begins with something new. It chains an exposure, a piece of software and a credential that were each approved on their own. An outage rarely begins at the page. It starts with a change, a dependency and a limit that nobody saw together.
Read why
By the time an alert fires, the damage is already on its way. The work that changes the outcome happens earlier: closing the route, knowing what a change will break, catching the signal before it becomes an incident.
- The industry measures reaction · detect and respond, after the fact.
- Vikat measures preemption · find, close and contain before impact, tuned to your business.
Why personalised
Severity is generic. Consequence is yours.
Security and operations tools ship the same severity scores to every company. Your crown jewels, your checkout path, the people who own them and the regulators you answer to are not in those scores. So a moderate alert two hops from your order-to-cash system waits behind a loud one that reaches nothing.
Read why
Ranking by consequence changes what gets done first, and what gets done first changes the result.
In a McKinsey example, one company that reordered the security initiatives in its backlog by risk raised its projected risk reduction 7.5 times, at no added cost.
Why outcomes
A licence is measured by adoption. We would rather be measured by what closed.
So our platforms are not sold on their own. They are delivered as solutions, each with the engineers who run it and a scorecard you hold us to, on a fixed retainer with an outcome bonus paid only against that scorecard.
A capability. A pod. A scorecard.
- The capability. A practice running on a semantic context plane built from your own systems: SecSemantic for security, DevSemantic for reliability and delivery. Private in your network.
- The pod. Two senior engineers working inside your environment and owning the outcome with you. On CyberSec and AI security, a fractional CISO advisor joins them. On SRE, the pod runs as managed support. Pods mix and scale. → Services
- The scorecard. A 90-day KPI scorecard committed against the baseline measured in your 30-day diagnostic. What cannot be measured is reported as UNMEASURED, never estimated.
Three practices. One way of working.
CYBERSEC SOLUTIONS
on SecSemantic
Close the routes attackers would use, and contain what gets through, ranked by consequence to your business.
Preempt
- Attack Path Closure
Find the routes to your crown jewels, and the one change that closes most of them.
MTTD ↓
- Identity Threat Defense
Who can actually reach what, standing privilege removed, stolen credentials revoked fast.
MTTK ↓
- Emerging Threat Exposure
When a new vulnerability or campaign lands, know whether it reaches anything that matters.
MTTP ↓
- External Surface Defense
Every domain and exposed endpoint traced to the workload behind it, and every gap shown.
ESC ↑
- Cloud Security Foundation Early access
Cloud posture ranked by consequence and fixed with your teams, plus the spend that buys nothing.
CCF ↓
- AppSec and Supply Chain Early access
Weaknesses in your code and dependencies, ranked by what runs them, fixed before the code ships.
PSC ↑
- Change Impact Assurance
Know what a change breaks, and what it closes, before it ships.
BRC ↑
Respond
- Detection & Investigation
Incidents that arrive already investigated, with their consequence computed.
MTTV ↓
- Governed Containment
Containment that earns its authority, with every approval, rejection and outcome on the record.
MTTC ↓
Prove
- Coverage Assurance
Know exactly what you can and cannot see, with every gap treated as a finding.
VCR ↑
- Continuous Compliance Evidence
Audit evidence generated from what is observed, stamped with its age.
EVA ↓
Program
- SecOps Modernization
Your security operations re-engineered around consequence, earned automation and one scorecard.
MTTC ↓
AI SECURITY SOLUTIONS
on SecSemantic
Put your AI agents and your people's use of AI inside a boundary you set.
Govern
- Agentic Workforce Security Early access
Every AI agent you run, inventoried, scoped to what it may touch, and checked before it acts.
AGC ↑
- AI Data Boundary Early access
Every AI service your people and apps use, found, and sensitive data stopped at the boundary you set.
DBC ↑
Run for you
- Managed AI Governance → Services
Your AI gateway, agent inventory and AI policy, operated for you every month.
SRE SOLUTIONS
on DevSemantic
Resolve incidents before they page your team, and ship with the blast radius known.
Resolve
- Agentic Incident Response
Incidents caught from their first signal, diagnosed by agents, resolved before they page your team.
MTPI ↓
- Root Cause and Reliability
Root causes found across logs, metrics, deploys and dependencies, and fixed so they do not come back.
RPR ↑
Prevent
- Change and Release Safety
Blast radius known before a change ships, risk-scored deploys and a rollback path approved in advance.
BRC ↑
- Observability Foundation
Metrics, logs and traces unified around your services, alert noise cut, signals ranked by consequence.
SNR ↑
Automate
- Runbook Automation
Your runbooks turned into agent playbooks, kept current by named engineers, with the toil hours returned.
THR ↑
Program
- SRE Modernization
On-call and operations re-engineered around agents, measured on pages per engineer.
PPE ↓
Grounded in your business, not a generic model of it.
- SecSemantic · the security context plane. A live, evidence-backed digital twin of your estate: identities, networks, data and traffic across AWS, Azure and GCP. On the twin we simulate what an attacker could reach and what a change would break, never against production. → Explore SecSemantic
- DevSemantic · the development context plane. Your services, dependencies, owners, deploys and runbooks, so agents know what breaks if something fails, and a person approves every risky action. → Explore DevSemantic
Named engineers feed every incident, change and decision back into the plane through the Semantic Loop, so it grows more specific to your business every month.
Built around the business you are actually in.
Paths to payment and cardholder data first, PCI DSS scope and SOX change evidence, and settlement services kept reliable.
Starts with: Attack Path Closure · Identity Threat Defense · Change and Release Safety.
Systems holding patient records first, HIPAA access evidence from effective access, and patient data kept out of unapproved AI.
Starts with: Coverage Assurance · AI Data Boundary Early access · Continuous Compliance Evidence.
SecSemantic on an air-gapped appliance, running the same code as every other deployment.
Starts with: Attack Path Closure · Emerging Threat Exposure · Governed Containment.
The checkout path and customer-facing services first, for attackers and outages alike.
Starts with: External Surface Defense · Agentic Incident Response · Change and Release Safety.
What solutions are not
No replacement required. Your SIEM, EDR, scanners, observability, CI/CD and incident tools stay; their findings and telemetry are evidence the context plane reads.
What is the difference between a solution and a platform?
A platform is the technology: SecSemantic or DevSemantic. A solution is an outcome delivered on it, with a pod that runs it and a scorecard it is measured against.
What does the 30-day diagnostic include, and what does it cost?
It costs nothing. We connect the context plane to your systems, show the first outcome for the solution you chose, and measure the baseline for every KPI on its scorecard. On SecSemantic, a coverage report arrives within 30 minutes of connecting a cloud.
What is in a pod?
Two senior engineers matched to the solution. CyberSec and AI security pods add a fractional CISO advisor. SRE pods run as managed support. Pods mix and scale: one per solution, or several sharing one context plane.
What is a program?
Several solutions on one context plane and one scorecard, plus the operating-model work none of them covers alone. SecOps Modernization and SRE Modernization are programs.
How are the targets set?
From the baseline measured in the diagnostic. Each metric has a published definition and evidence source; the target is agreed with you and committed in the 90-day scorecard.
What happens if a metric does not move?
The scorecard shows the number that was measured and the evidence behind it, whichever way it moved, and the outcome bonus is paid only against it.
What if you cannot measure a metric?
It is reported as UNMEASURED, with the reason, such as a log source that is switched off. Closing that gap becomes part of the work.
Does our data leave our environment?
SecSemantic runs in your own cloud account, under your own keys, with read-only credentials, and the total bytes it sends to any vendor destination is 0.
Do you run attacks against our environment?
Our software does not. Attack paths and change impact are computed on the twin from read-only evidence. If you want authorised penetration testing as well, our Continuous Threat Exposure Management service runs it under a scope you sign.
Do agents act on their own?
Only within policy you approve. Routine, reversible actions can run under that policy, logged and undoable. Every change to production, every deploy and anything risky waits for a person.
Some solutions are marked as early access. Why?
Their capabilities are being built. The pod delivers the outcome with your existing tools today, and the capability arrives inside the engagement as it ships.
From a free diagnostic to a scorecard you hold us to.
-
Diagnostic · days 0 to 30, at no cost.
The context plane is connected to your systems. The first outcome for your solution is shown, what cannot be seen is named, and every KPI baseline is measured.
-
Scorecard · day 30.
The 90-day KPI scorecard is agreed: the solution's headline metric and its supporting KPIs, each committed against your baseline.
-
Outcome · days 30 to 90.
Your pod works the solution with your teams: paths closed, incidents resolved, releases made safe, agents governed. Each result carries its proof.
-
Review · day 90.
The scorecard is reported with its evidence and who measured it. The outcome bonus is paid only against it.
-
The Semantic Loop · from day 90.
Named engineers feed every incident, change and decision back into the context plane, so answers get more specific to your business every month.
Senior engineers, inside your team.
Read why
Every pod pairs two senior engineers matched to the solution: a forward-deployed engineer who owns the baseline with you, and a specialist. CyberSec and AI security pods add a fractional CISO advisor who owns the scorecard with your leadership. → Services
Measured, not claimed.
- Every baseline is measured in your systems during the diagnostic.
- Every result names who measured it.
- A metric we cannot measure is reported as UNMEASURED. It is never estimated.
- Accuracy is published in your console, stated against held, UNMEASURED rows included.
Private in your network. A person at the gate.
Every solution runs inside your environment. Nothing risky acts without a person's approval, and every approval and outcome is on the record.
Total bytes to any vendor destination · 0(illustrative console output · the categories and the final line are the contract)
Let us run the 30-day diagnostic.
At no cost: your context plane connected, the first outcome for the solution you choose, and a measured baseline for every metric we will be held to.