Autonomous operations for modern applications

Automate. Secure.
Maintain. Improve.

Confixa brings DevOps, security, AI security, observability and application maintenance into one coordinated operating loop — one that learns your systems and gets better with every cycle. Your engineers approve the changes that matter. Confixa handles the rest.

  • Starts read-only
  • Runs in your cloud
  • Humans on every gate

Works with the stack you already run

  • GitHub
  • GitLab
  • Bitbucket
  • Jenkins
  • GitHub Actions
  • Argo CD
  • Kubernetes
  • Terraform
  • AWS
  • Google Cloud
  • Azure
  • OpenTelemetry
  • Prometheus
  • Grafana
  • Datadog
  • PagerDuty
  • Jira
  • Slack

Why Confixa

Your engineers have become the glue between twenty tools.

Pipelines, scanners, dashboards and ticket queues each do their job well. The work that falls between them — triaging the alert, writing the patch, chasing the approval, collecting the evidence — still lands on people. That is where Confixa starts.

01

Handoffs eat the week

Every finding becomes a ticket, every ticket becomes a meeting. Routine operational work crowds out the roadmap.

02

Signals arrive without context

A CVE, a latency spike and a failed deploy are often one story. Separate tools tell it as three.

03

AI adds a new attack surface

Models, prompts and agents ship faster than anyone can review them — and they need the same rigour as code.

The platform

Four disciplines. One operating loop.

Confixa is an autonomous engineering harness: specialist agents for each discipline, sharing one context, one policy engine and one audit trail.

4
disciplines in one loop
L0–L4
autonomy, set per service
100%
of actions in the audit trail
90 days
from read-only to proven

These are structural facts about how Confixa works, not customer results. Confixa is in its design-partner phase.

How Confixa works

Observe. Decide. Act. Learn.

Every signal — a commit, a scan finding, an alert, a cost spike — enters the same loop. Every action leaves the same evidence.

  1. 1

    Observe

    Read-only connections to Git, CI, cloud, clusters, scanners and telemetry. Confixa maps services, owners and dependencies.

  2. 2

    Decide

    Signals are correlated against the knowledge graph and your policy. Noise is dropped; what matters gets a plan and a blast radius.

  3. 3

    Act

    Changes arrive as pull requests, pipeline runs or gated actions — tested, scanned and staged by canary before anything is promoted.

  4. 4

    Learn

    Outcomes and reviewer feedback flow back into the graph. The next decision is better informed than the last.

Automate · DevOps and CI/CD

From pull request to production, without the hand-offs.

Confixa picks work up at the pull request and carries it through review, build, test, scan and release in your existing CI/CD — then watches the rollout and rolls back on its own if the numbers move the wrong way.

  • Pipelines that fix themselves. Failed builds diagnosed, flaky steps isolated, pipeline changes proposed as code.
  • Progressive delivery by default. Canary and blue-green releases with automatic analysis against your SLOs.
  • Infrastructure as code, kept honest. Terraform and Kubernetes manifests authored, reviewed and drift-corrected.
  • Release notes and change records written from the actual diff, ready for your change-approval board.

Pipeline · payments-service · v3.8.0

  1. AI code review2 suggestions applieddone
  2. Build and unit tests412 passed · 3m 08sdone
  3. Security gate0 reachable criticalsdone
  4. Deploy to stagingsmoke tests greendone
  5. Canary 10% → 50%error rate 0.02% · p95 182msdone
  6. Promote to productionrelease owner approvalawaiting approval

Illustrative run

Secure · SecOps

Fewer findings. More fixes.

Scanners are good at finding things. Confixa triages what they find by whether it is actually reachable in your running code, then opens the fix — with the test that proves it.

  • SAST
  • DAST
  • SCA and SBOM
  • Secrets
  • Container images
  • IaC misconfiguration
  • Cloud posture
  • Runtime threats
  • Supply-chain provenance
  • Reachability first. A vulnerable function you never call is noted, not escalated.
  • Fixes, not tickets. Version bumps, config changes and code patches arrive as reviewed pull requests.
  • Secrets rotated, not just reported. Leaked credentials are revoked and reissued through your secret manager.

Security queue · this week

FindingReachableStatus
Deserialisation flawjackson-databind · orders-apiYesPR #921 merged
AWS key in commitinfra-scripts · a41f9e2—rotated
Public storage bucketanalytics-exportsYesneeds owner
Base image, 34 CVEsnode:18 → distroless2 of 34PR #924 open
Prototype pollutionlodash · admin-uiNonoted

Illustrative queue

Secure · AI security

Your AI is software too. Secure it like software.

LLM features, RAG pipelines and autonomous agents bring risks that classic scanners were not built to see. Confixa covers the whole AI surface — from the model you download to the tool your agent calls — and tests it continuously, like a regression suite.

Prompt-injection guardrails

Direct and indirect injection, jailbreaks and instruction hijacking caught at the input and in retrieved content.

Agent and tool permissions

Least-privilege scopes for every tool call, with budgets, loop detection and a human gate on destructive actions.

Model supply chain

Models, adapters and datasets scanned for unsafe serialisation, tampering and licence risk before they load.

AI inventory and posture

Every model, endpoint, vector store and API key in use — including the ones nobody registered.

Data-leak prevention

PII, secrets and regulated data redacted from prompts, logs and responses, aligned to the DPDP Act.

Continuous red-teaming

Adversarial evaluations run on every model, prompt or retrieval change — failures block the release.

Output and drift monitoring

Groundedness, toxicity, refusal rates and behaviour drift watched in production, per model version.

AI governance evidence

Model cards, evaluation history and access logs collected automatically for audits and risk reviews.

Maintain · Observability and monitoring

From alert to root cause in one view.

Confixa reads the telemetry you already collect, watches your SLOs, and connects an anomaly to the deploy, config change or dependency behind it — then proposes the remedy with the evidence attached.

  • SLOs, not thresholds. Error budgets and burn rates per service, with alerts tuned to what users actually feel.
  • Correlated incidents. Metrics, logs, traces and change history joined into one timeline.
  • Runbooks that run. Known fixes executed within policy; new ones drafted for review.
  • Cost in the same view. Spend attributed to services, idle resources flagged, right-sizing proposed.

Operations · checkout

Availability SLO

99.95%within budget

p95 latency

184 msrecovered

Error budget left

71%28 days remaining

p95 latency, last 6 hours

deploy v2.14rolled back
  1. p95 latency up 38% on /checkout
  2. Correlated with deploy v2.14 — new N+1 query in cart lookup
  3. Rollback proposed · approved by on-call
  4. Fix PR #1503 opened with regression test

Illustrative incident

Maintain · Application upkeep

The upkeep nobody schedules, done every week.

Most outages and breaches start as maintenance that slipped. Confixa keeps a standing backlog of upkeep for every service and works it down in small, reviewed, reversible changes.

  • Dependencies and runtimes upgraded in tested batches, with changelogs read for you.
  • Deprecations caught early — Kubernetes APIs, cloud SDKs and end-of-life runtimes.
  • Certificates, keys and patches renewed and applied before they expire.
  • Flaky tests quarantined and fixed, so the pipeline stays trustworthy.

Upkeep · handled this week

  • 27 dependency upgrades9 services · all tests green
    merged
  • TLS certificates renewedapi, auth, partner-gateway
    done
  • Kubernetes 1.29 → 1.31 prep4 deprecated APIs migrated
    review
  • Terraform drift corrected2 security groups restored
    done
  • 3 flaky tests quarantinedroot cause: shared fixture
    PR open
  • Idle resources reclaimed11 unattached volumes, 2 idle nodes
    review

Illustrative week

Improve · Self-evolving systems

Confixa gets better at your systems every cycle.

Every build, deploy, incident and review adds to an organisational knowledge graph — services, owners, dependencies, past failures and the fixes that worked. On day one it is an index. By day ninety it is how your estate actually behaves.

  1. ObserveOutcomes of every run, review and incident are captured with their context.
  2. LearnThe knowledge graph links cause to effect: which change, which owner, which fix held.
  3. ProposeBetter runbooks, tighter alerts, cheaper infrastructure, safer pipelines, cleaner architecture.
  4. ProveEach proposal is tested in a canary, a replay or an evaluation before anyone has to trust it.
  5. PromoteProven improvements ship through the same gates — and the loop starts again, one step smarter.

Self-maintaining

Recurring fixes become automated runbooks. The same incident should not need a human twice.

Self-optimising

Performance profiles, query plans and resource usage reviewed continuously, with right-sizing and refactors proposed.

Self-documenting

Service maps, ownership and architecture decisions kept current from what actually runs — not from last year's wiki.

Autonomy you control

A dial per service, not a switch for the company.

Every service starts at L0. You raise its level when the evidence says it has earned it — and lower it in one click. Agents prepare the work; people approve what matters.

L0 · Observe

Read-only access. Confixa maps services, scores risk and reports what it would do — without changing anything. Every pilot starts here.

Humans do all the work; Confixa shows its reasoning.

Governance and trust

Built for the security review, not around it.

Runs in your cloud

Managed SaaS, a private install in your own project, or fully air-gapped. Your credentials, your secret manager.

Policy as code

What agents may touch, when and how far is versioned, reviewed and enforced — the same way you manage infrastructure.

Full, replayable audit trail

Every decision, tool call and diff is recorded and can be replayed step by step.

Least privilege, scoped access

Role-based access and short-lived credentials per agent, per service, per action.

Bring your own model

Frontier, open-weight or self-hosted models. Your data is never used to train anyone else's.

Compliance evidence, continuously

Signed evidence mapped to CERT-In directions, the DPDP Act 2023, ISO 27001 and SOC 2 controls.

Confixa automates evidence collection for these frameworks. It does not certify you and is not itself certified.

The 90-day design partner pilot

Start read-only. Decide on evidence.

A fixed-scope pilot on the services you choose. You keep the full estate audit whatever you decide.

  1. Days 1–30

    Observe

    Read-only connections. Confixa maps your services, pipelines, security posture and AI surface, and delivers a prioritised estate audit.

    L0

  2. Days 31–60

    Propose

    Fixes, upgrades and pipeline improvements arrive as pull requests on two or three agreed services. Your team reviews every one.

    L1–L2

  3. Days 61–90

    Prove

    Gated actions within an agreed envelope. We measure hours returned, findings closed and incidents shortened — against your own baseline.

    L3

FAQ

Questions teams ask first.

Something else on your mind? Ask us directly.

What does Confixa actually do?

Confixa runs the operational work around your applications as one loop: it builds and ships through your CI/CD, scans code, cloud and AI systems for risk, watches production, keeps dependencies, certificates and infrastructure maintained, and proposes improvements based on what it has learned. Every change is a pull request or a gated action with a full audit trail.

Does Confixa replace our existing tools?

No. Confixa works on top of the stack you already run — your Git host, CI system, cloud, Kubernetes clusters, observability tools and ticketing. It coordinates the work between them rather than asking you to migrate.

Does Confixa need write access to production?

Not to start. Every service begins at L0, observe-only, with read access. Write access is granted per service as you raise its autonomy level, is scoped by policy-as-code, and production promotions always pass through a human approval gate.

What does AI security cover?

Confixa secures the AI systems you build and run: guardrails against prompt injection and jailbreaks, least-privilege permissions for agent tool calls, scanning of models and datasets in your supply chain, an inventory of every model and AI endpoint in use, data-leak and PII controls on prompts and responses, and continuous red-team evaluations that run like regression tests.

What does self-improving mean in practice?

Every build, deploy, incident and review adds to an organisational knowledge graph of your services, owners, dependencies and past fixes. Confixa uses it to propose better runbooks, tighter alerts, cheaper infrastructure and safer pipelines — and proves each proposal in a canary or evaluation before it is promoted.

Where does Confixa run and who holds the keys?

In your cloud on your credentials: managed SaaS, a private install in your own project, or fully air-gapped. Bring your own model — frontier, open-weight or self-hosted — and your own secret manager.

Is Confixa certified for CERT-In, ISO 27001 or SOC 2?

Confixa automates evidence collection for CERT-In directions, the DPDP Act 2023, ISO 27001 and SOC 2, so your audits draw on signed, continuous evidence. It does not certify you, and is not itself a certification.

Start a pilot

See Confixa on your own systems.

Thirty days read-only, a full audit of your estate, and nothing changes without your approval. Our team reviews every application within two working days.

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