Apysyk is not another scanner. It is where security teams collect findings, choose priorities, assign owners, execute fixes, and prove the work is done.
Software now moves faster than security can operate. Findings are everywhere, ownership is unclear, and the work gets lost between scanners, tickets, pipelines, and people.
Copilots, agents, and LLMs multiply change. Every new repo, dependency, secret, prompt, and pipeline becomes another place where context can disappear.
Scanners create findings, but teams still need prioritization, ownership, SLAs, fixes, validation, and evidence. That handoff is where risk survives.
Developer productivity has multiplied. Security headcount has not. The winning system is the one that turns context into action without waiting for another meeting.
One platform, three views. The same risk, translated for the audience that has to act on it: executives, managers, and developers.
Translates technical risk into executive vision: exposure, trend, financial impact, and program evolution.
Apysyk connects the tools you already use and turns their signals into coordinated security work across AI, application security, supply chain, cloud, and posture management.
See where AI is used, govern how it touches code and data, and stop risky AI behavior before it becomes part of your delivery flow.
Find application risk across code, dependencies, IaC, and containers. Then route the right fix to the right owner.
Protect the software factory itself: pipelines, tokens, artifacts, repositories, build systems, and the trust chain behind every release.
Operate posture from one place: assets, exposure, business context, ownership, priority, remediation, and evidence.
One place to see risk, decide priority, assign ownership, execute remediation, and prove security work across the SDLC.
Apysyk AI correlates signals, identifies the next action, and coordinates remediation instead of leaving teams with another list of findings.
Investigate risk, surface exploitability, propose remediations, and trigger safe actions with the context needed to trust the result.
Apysyk's Intelligence Graph connects AST, supply chain, posture management, and runtime signals into security outcomes coordinated by AI.
Apply policies to AI usage, model access, and data exposure, so AI adoption can move fast without compromising security.
Unify scanners, repositories, pipelines, cloud assets, dependencies, ownership, and business context into one operational view.
Connect scanners, repos, cloud accounts, CI systems, identity, and tickets so every finding has context, owner, and status.
Run checks across secrets, SAST, SCA, containers, IaC, CI/CD pipelines, leaked code, and runtime paths.
Map repos, dependencies, artifacts, APIs, SaaS services, pipelines, and exposed assets to the applications they support.
Rank security work by exploitability, exposure, business impact, ownership, runtime context, and delivery urgency.
Rank work using CVSS, CISA KEV, EPSS, business impact, runtime exposure, owner, SLA, and application criticality.
Show whether vulnerable code is deployed, internet facing, reachable, or tied to a critical application.
Trace how a finding becomes a business risk, from asset and dependency to deployment, owner, and external exposure.
Turn priority into execution with owners, SLAs, guided fixes, PRs, CI gates, and validation tied to the original risk.
Know who needs to fix it, where to fix it, and how to fix it, mapped automatically to your org structure.
Surface the fix in the IDE, PR, or CI pipeline, before the risk becomes another ticket waiting for triage.
Generate a patch, open a PR, block an unsafe build, or assign an owner with the evidence attached.
Track whether risk is getting fixed, who owns the work, where delivery is blocked, and what evidence proves closure.
See open risk, assigned owners, overdue SLAs, blocked builds, merged fixes, accepted exceptions, and closed evidence.
Show which risks were opened, assigned, fixed, verified, accepted, or missed during the current reporting period.
Track MTTR, SLA misses, recurring owners, noisy tools, delayed teams, and risk that keeps coming back.
Collect evidence as security work happens, so audits reflect actual execution instead of spreadsheet archaeology.
Map SOC 2, ISO 27001, PCI DSS, DORA, CIS Benchmarks, and SSDF controls to evidence created by real security work.
Ensure your security program meets regulatory and industry standards with evidence that is ready for audit.
Eliminate manual efforts by streamlining attestation and compliance workflows with automation.
Apysyk AI turns scattered signals into security execution: exploit paths, owners, SLAs, CI gates, fix PRs, and evidence your team can trust.
Built on the Apysyk Context Intelligence Graph, it understands code, dependencies, secrets, cloud, runtime, and AI usage together. Then it coordinates the next action until the risk is closed.
Connect scanners, repos, cloud, CI, identity, and tickets so every finding lands with the context needed to act.
Rank what should be fixed first using exploitability, runtime exposure, business impact, owner, and SLA.
Open the PR, block the build, assign the owner, verify the closure, and keep the evidence attached.
Apysyk connects to your existing tools and infrastructure, then turns their output into assigned, tracked, verified security work.
Bring a real workflow. We will show how Apysyk turns it into ownership, remediation, and evidence.