Real signal.
Across everything you ship, run, and prove.
Krita finds the handful of risks that actually matter across everything you build, everything you run, and everything you have to prove — without your source code ever leaving your infrastructure.
16 languages · 13 frameworks · 3 clouds · 6 IaC · 7 package managers
One question, asked at three points in the life of your software.
Catch it before it ships. Defend it while it runs. Prove it whenever you are asked. Each is sold on its own. Together they close the loop.
AI Review
Shift leftIs it safe to ship?
Review everything you build before it reaches production — code, dependencies, secrets, infrastructure, cloud, network — and get back the short list that is genuinely exploitable.
Read more →AI Sentinel
RuntimeWhat is happening right now?
Watch what is actually running, separate the real attack from the noise, and respond inside limits you set in advance.
Read more →AI GRC
Continuous assuranceCan you prove it?
Governance, risk and compliance that maintains itself — evidence collected continuously, controls mapped automatically, audit packages ready when the auditor is.
Read more →Attackers move in days. Fixes land in months.
The industry clock starts the day a flaw becomes public and runs for the better part of a year. Every manual-review figure is independent research, quoted from the report named beside it. The Krita figures are the clock we set — a service level the platform enforces, not a benchmark we ran.
The whole Krita ladder ends at seven days — the point at which the industry one has barely started.
Only 38% of known-exploited vulnerabilities were ever fully remediated. — Verizon DBIR 2025
Service levels the platform enforces on every finding it raises — targets, not measured outcomes. Krita publishes no timing benchmark of its own.
Left: independent research, sourced per row. Right: service levels the platform enforces. Krita publishes no timing benchmark of its own.
What changes, in cost and in time.
Four lines. What you carry today, what replaces it, and the size of the difference.
Measured against what the function already costs: about $2–2.5M a year at mid-market, past $12M at enterprise.
Ranges, not a quote. They describe what the levers are worth against your own baseline. We publish no customer savings figure, because we have not measured one.
worldwide security spend, 2026
Gartner
application security, growing 11–19% a year
MarketsandMarkets · Grand View
growth in the testing segment we start in
MarketsandMarkets
professional developers worldwide
SlashData, 2025
Everything you build, reviewed before it ships.
Point Krita at a repository, a cloud account, or a network range. Instead of a thousand findings ranked by severity, you get the few that an attacker could actually reach — each one with the exploit path, the fix, and a task already waiting in your tracker.
Code
Injection, authentication bypass, unsafe deserialization, path traversal, race conditions and more — found by reasoning across the whole repository, not by matching patterns file by file.
Business logic
Broken object-level authorization, privilege escalation, missing access control on a route nobody remembered. The flaws that live between files and that pattern matchers structurally cannot see.
Dependencies
Your full direct and transitive inventory, with licence and vulnerability correlation, and a judgement about whether the vulnerable path is reachable from your code at all.
Secrets and infrastructure
Credentials committed to history or shipped to the browser, and infrastructure definitions that would deploy something exposed.
Cloud posture
Misconfiguration and compliance drift across your accounts, mapped to the frameworks you actually report against.
Network and exposure
In developmentWhat is reachable from outside, what is listening, and what is running a version that matters.
- A short list, not a long one — ranked by what is reachable and exploitable
- Every finding carries evidence: the vulnerable code, the exploit path, the fix
- Repeat findings are recognised across scans instead of re-reported
- Findings become tracked work automatically, on a clock you set
Watch what runs. Act within limits you set.
Detection that tells you what an attacker is doing rather than which rule fired, and response that is bounded by a catalogue of actions you approved in advance. Krita never invents an action it was not given.
Detect
Continuous ingest from your cloud and infrastructure telemetry, correlated into incidents rather than dumped as alerts.
Understand
Each incident arrives with a plain-language account of what the attacker appears to be doing and a confidence score you can inspect — never one opaque number.
Respond
Block an address, revoke a session, isolate an instance, disable a key, or simply alert. A fixed set of approved actions, chosen within bounds and executed by code.
Stay in control
Four levels of authority, starting at alert-only. Dry-run any response before you trust it. Every reversible action records its own undo. Resources you tag as protected are never touched automatically.
- Alert-only on day one — you grant authority as trust is earned
- Every automated action logged with the reasoning that triggered it
- A protected-resource list that no confidence score can override
- Incidents land in the same queue as everything else, on the same clock
Four events, one story: an unfamiliar session gained administrator rights, minted a durable key, then tried to remove the record.
One clock for findings and incidents alike. You set the targets.
Compliance that maintains itself.
Governance, risk and compliance stops being a two-month scramble before an audit and becomes a state you are continuously in. Including the new regime written specifically for AI.
Governance
Policy lifecycle, control mapping, and defined roles — plus governance of AI itself: which models are approved, what authority they hold, and a full ledger of every decision they made.
Risk
A risk register with quantified exposure rather than a colour-coded grid, fed by what Review and Sentinel actually found.
Compliance
SOC 2, ISO 27001, HIPAA, PCI DSS, NIST, GDPR, DORA and more — with controls mapped and gaps identified continuously, not the week before the auditor arrives.
The AI regime
On the roadmapThe EU AI Act, ISO/IEC 42001 and the NIST AI Risk Management Framework. New obligations with real deadlines and no incumbent answer yet.
Evidence
Collected automatically from your cloud, identity, source control and workplace systems. Written once, hash-chained, held under legal hold, and retrievable exactly as it stood on any past date.
- Evidence gathers itself between audits instead of during them
- One posture, reported to every framework you answer to
- The record of what your AI systems did becomes an audit artefact
- Auditors receive a package, not a scramble
Works with the tools your team already runs.
Findings arrive where your engineers already are. No new dashboard to live in, no workflow to relearn.
Dimmed tiles are in development. Nothing here is listed as connected until it is.
Everything you report against,
in one posture.
Map a control once. Answer every framework that asks for it. Findings arrive already tagged, so the evidence is a query rather than a project.
Finding taxonomy
Every finding is tagged against these as it is created.
Cloud benchmarks
Cloud posture is scored against these directly.
Security and privacy frameworks
Controls map once and report to all of them.
The AI regime
New obligations with real deadlines and no incumbent answer yet.
Software supply chain
Inventory and provenance formats we read and emit.
Coverage depth varies by framework. Marked available where the mapping ships today, in development where it is being built, on the roadmap where it is not started.
What we're building next, stated plainly.
We would rather show you the roadmap than imply it is already finished. Everything marked available today is running now.
AI Review
Code, business logic, dependencies, secrets, infrastructure and cloud posture are available today. Network and exposure review, and dynamic testing against a running application, are in development.
AI Sentinel
Detection and correlation first, at alert-only authority. Graduated response, then multi-cloud coverage. Defence of AI systems themselves — model endpoints, prompt boundaries, agent behaviour — follows.
AI GRC
Core platform, evidence collection and the first framework packs are being built now. The EU AI Act and ISO 42001 packs come next, alongside the AI bill of materials that becomes mandatory in the EU in 2027.
Trusted component registry
Supply-chain risk does not end by catching a bad package after it is installed. It ends when the safe component is the easy one to reach for: checked before anyone pulls it, hosted for you, and kept alive when a critical dependency is abandoned.
A security-tuned model
A model specialised for security reasoning rather than general-purpose intelligence pointed at a security problem. Planned, not shipped — and Krita will always run on the provider you choose regardless.
The things people ask first.
No. Krita deploys inside your own environment, air-gapped if you need it. Analysis happens where your code already lives and only findings cross the boundary. If you would rather we host the control plane, that option exists too — but the choice is yours, and the self-hosted path is the one we designed for first.
The deepest analysis — whole-repository reasoning and cross-file business logic — currently covers TypeScript, JavaScript and Python, with more languages in development. Dependency, secret, infrastructure and cloud review are language-agnostic and work across your whole estate today.
Whichever you choose. Point Krita at a major provider or at a model running on your own hardware. Credentials are encrypted and held separately per configuration, and changing provider changes it everywhere at once. A security-tuned model of our own is on the roadmap; it will always be optional.
AI Review is running now: code, business logic, dependencies, secrets, infrastructure and cloud posture. AI Sentinel and AI GRC are in active development. We mark build state on every capability on this page rather than implying the roadmap is finished.
You probably do not need more findings. Independent research puts the share of static-analysis warnings that are security-relevant at 8 to 30 percent, and the share of dependency vulnerabilities actually reachable in your code below 10 percent. Krita's job is deciding which of your existing noise is real, then extending the same judgement to what runs and what you must prove.
Findings become tracked work in the tracker you already use, on a service-level clock you set. Scans trigger from your existing CI. Nothing asks your engineers to live in another dashboard.
By team for smaller organisations and by volume for larger ones, with self-hosted deployment available on every tier. We are onboarding design partners now, so pricing is a conversation rather than a page.
Stop counting findings. Start closing the ones that matter.
We are onboarding a small number of design partners who will run Krita against their own production code, in their own environment, and tell us the truth about what it finds.
Self-hosted · your model · your code never leaves your infrastructure