What is autonomous application security?

Autonomous application security uses AI, runtime validation, offensive testing, prioritization, remediation, and verification to continuously reduce exploitable risk across the software lifecycle.

How does Aptori prioritize vulnerabilities?

Aptori prioritizes vulnerabilities using runtime evidence, exploitability validation, business impact, code context, dependency reachability, API behavior, identity context, and attack path analysis.

Does Aptori support auto-fix?

Yes. Aptori AI agents generate precise remediation guidance and code fixes tied to the proven exploit path, then verify that the fix closes the runtime risk.

How is Aptori different from traditional AppSec platforms?

Traditional AppSec platforms aggregate and prioritize findings. Aptori continuously validates runtime behavior, proves exploitability, prioritizes based on evidence, generates fixes, and verifies closure.

Can Aptori run in regulated environments?

Yes. Aptori supports SaaS, dedicated, self-hosted, and air-gapped deployment models for regulated and sovereign environments.

AI-Native Application Security Platform

AI-native application security for software built by humans and agents.

Secure software at AI speed. Aptori understands the entire application, reveals exploitable risks isolated tools miss, accelerates remediation, and verifies that risk is closed.

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✓ Deterministic security checks ✓ Context-aware AI agents ✓ SaaS, dedicated, or self-managed

Live application context

Source code

Dependencies

APIs + workflows

Runtime behavior

Identity + objects

Kubernetes + IaC

Application
Context GraphLive + semantic

Clear definition

What is an AI-native application security platform?

An AI-native application security platform protects software across code, dependencies, infrastructure, applications, APIs, and runtime by combining deterministic security validation with application context and controlled AI agents.

Unlike disconnected scanners, Aptori links findings to reachability, identities, business workflows, runtime evidence, ownership, and root cause. Teams can prioritize exploitable risk, deliver precise remediation, and retest the same attack path to verify closure.

Application Security Platform AI SAST Semantic Runtime Validation Application Risk Management

Security outcomes

Move beyond finding more vulnerabilities.

Aptori gives security and engineering teams a shared operating model to prevent risk earlier, resolve exploitable issues faster, and continuously prove that controls remain effective.

01↗

Build secure-by-design

Guide developers and AI coding workflows with AI SAST, SCA, secrets detection, license, container, IaC, and Kubernetes checks while software is still being created.

02✓

Close real risk faster

Prove exploitability, identify root cause, deliver developer-ready fixes, and retest the same attack path until closure is verified.

03∞

Maintain continuous assurance

Continuously validate security controls across the secure SDLC, CI/CD, applications, APIs, Kubernetes, and runtime, with evidence for leadership and audit.

The problem

Applications became connected systems.

Code, dependencies, identities, APIs, infrastructure, workflows, and AI agents now behave as one system. Traditional application security still evaluates them as separate findings.

Fragmented signalsScanner noiseManual triageUnverified fixes

The Aptori difference

Aptori understands the entire application.

Deterministic checkers, semantic models, runtime evidence, and controlled AI agents work from shared context to reveal exploitable paths, accelerate remediation, and verify that risk is closed.

Unified contextRuntime proofAgentic resolutionContinuous evidence

Application risk closure

Find. Triage. Fix. Verify.

A closed-loop operating model turns security from a growing inventory of findings into a measurable process for eliminating exploitable application risk.

Find

Continuously inspect code, dependencies, secrets, infrastructure, APIs, identities, workflows, and runtime behavior.

Triage

Correlate findings with reachability, business context, runtime evidence, ownership, and attacker path.

Fix

Map the root cause and deliver precise remediation guidance or controlled code fixes directly into developer workflows.

Verify

Retest the same vulnerable behavior and preserve evidence that the exploit path and control gap are closed.

Finding → Application context → Runtime proof → Root cause → Remediation → Verified closureOne evidence chain from discovery to outcome.

AI-native application security platform

Coverage across the software lifecycle. Context across every layer.

Specialized SAST, SCA, API security, dynamic application testing, ASPM, and autonomous penetration testing capabilities work through a shared security data lake and application context graph, giving teams deep coverage without another collection of disconnected tools.

BuildSoftware supply chain + infrastructure

Know what enters the application.

Inventory and evaluate dependencies, SBOMs, licenses, secrets, containers, IaC, and Kubernetes configuration for continuous software supply chain security.

Software Composition Analysis SBOM + dependency risk Kubernetes security

SGENSUPPLY CHAIN

DevelopSource code + application logic

Secure code as humans and agents produce it.

Analyze control flow, data flow, application logic, and AI-generated code, then connect findings to real application context.

AI SAST Secure-by-design Application security testing

SMARTCODE + LOGIC

ValidateApplications, APIs + runtime

Prove how the application actually behaves.

Use Semantic Runtime Validation and dynamic application security testing to validate identities, authorization, objects, workflows, business logic, APIs, and application controls under real runtime conditions.

API security testing Semantic Runtime Validation Business logic testing

SIFTRUNTIME

AttackAutonomous offensive validation

Discover and reproduce unknown attack paths.

Use controlled agents to explore applications, chain requests, change identities, abuse workflows, and safely prove exploitability.

Autonomous penetration testing BOLA prevention API risk assessment

DARTOFFENSIVE

Context + agents

Every security action starts with the application.

Aptori normalizes signals into a security data lake, maps them to a live application context graph, and gives deterministic checkers and controlled agents the evidence they need to act precisely.

Deterministic checkersValidate every required control

Fast, repeatable checks provide consistent coverage without depending on an LLM.

Semantic modelsUnderstand identities, objects, and workflows

Compact models represent how the application is designed to behave.

Security data lakeNormalize native and third-party signals

Code, SCA, API, infrastructure, runtime, and external findings become one evidence layer.

Live
Context

Application Context Graph

Connects code, services, APIs, dependencies, identities, objects, runtime paths, ownership, and business impact.

Evidence in→Reasoning→Action out

Blue Team AgentsPrioritize and triage real risk

Explain why a path matters, who owns it, and what action will reduce risk fastest.

Purple Team AgentsGenerate fixes and verify closure

Translate exploit evidence into developer-ready remediation and retest after changes.

Red Team AgentsExplore and prove attack paths

Conduct controlled autonomous penetration testing across application workflows.

/ /

Use Aptori agents or connect your own agents to a shared application context and evidence layer.
Deterministic controls remain the baseline; agents are governed, scoped, and applied where reasoning adds value.

Explore Context + Agents →

Enterprise operating model

Built for regulated, distributed, high-velocity engineering.

Aptori connects security, engineering, platform, risk, and audit teams through shared evidence, clear ownership, and flexible deployment.

Managed SaaS

Dedicated

Self-managed

Air-gapped

⌘

Developer-first workflows

Deliver prioritized findings, fix guidance, pull request context, tickets, and CI/CD policy directly where teams build software.

◎

Continuous vulnerability management

Track risk from discovery through ownership, remediation, retesting, evidence, and verified closure across the portfolio.

▦

Portfolio governance

Connect policies, application ownership, release gates, exceptions, and remediation status across distributed engineering organizations.

◌

Evidence-ready operations

Preserve a traceable record from control validation and exploit proof through ownership, remediation, retest, and verified closure.

Continuous compliance + sovereignty

Turn regulatory requirements into continuously validated security outcomes.

Aptori helps regulated organizations translate application-security obligations into repeatable controls, runtime validation, remediation workflows, and evidence, while retaining control over where sensitive code, application data, models, and agents operate.

UK Telecommunications Security Act

Support telecom security programs with continuous application and API control validation, clear ownership, remediation tracking, and evidence that security measures remain operational across development and production.

✓ Identify and reduce application security risk ✓ Validate controls across APIs, software, and infrastructure ✓ Preserve evidence from detection through mitigation

EU Cyber Resilience Act

Operationalize secure-by-design and vulnerability-management practices for products with digital elements, connecting software composition, source code, infrastructure, runtime behavior, remediation, and evidence across the product lifecycle.

✓ Maintain software and dependency visibility ✓ Find, prioritize, remediate, and retest vulnerabilities ✓ Produce traceable evidence for product security programs

/ /

Sovereign security operations

Meet data residency, operational control, and model-governance requirements with dedicated, self-managed, or air-gapped deployment and the ability to route AI workloads to approved local or hosted models.

✓ Keep sensitive application data in your environment ✓ Select and govern approved AI models ✓ Control agent permissions, actions, and evidence

/ /

One evidence chain: requirement → control → validation → remediation → retest → proof.Aptori supports compliance programs with technical evidence and workflow automation; regulatory accountability and conformity decisions remain with the organization.

Explore continuous compliance →

Enterprise application security

Make application risk closure measurable.

Replace fragmented findings and manual certification with a scalable operating model that validates real business workflows, accelerates secure onboarding, and produces evidence teams can trust.

Runtime proofSeparate exploitable risk from theoretical noise

Faster closureGive developers root cause and fix context

Audit readyPreserve evidence from test through retest

For security leaders

See risk, ownership, and closure in one operating view.

Prioritize by exploitability and business impact, measure remediation performance, and prove controls are continuously operating.

Explore continuous vulnerability management →

For engineering leaders

Secure releases without slowing delivery.

Put precise guidance into developer workflows, validate changes automatically, and reduce repeated handoffs between security and engineering.

Explore secure-by-design →

Frequently asked questions

Evaluating Aptori for enterprise application security.

Answers to the practical questions security and engineering leaders ask when evaluating application security platforms, AI-assisted testing, remediation, and deployment.

What makes Aptori different from traditional application security tools?

Traditional tools typically inspect one layer and return isolated findings. Aptori connects code, dependencies, infrastructure, APIs, identities, workflows, and runtime behavior to prove exploitability, identify root cause, guide remediation, and verify closure.

How is Aptori different from ASPM?

ASPM commonly aggregates and prioritizes findings from multiple tools. Aptori also performs deterministic checks, validates runtime behavior, proves attack paths, supports remediation, and retests vulnerable behavior to confirm that risk is closed.

Does Aptori rely on LLMs for security detection?

No. Deterministic checkers and semantic models provide consistent baseline validation. LLM-powered agents are applied selectively to reasoning-intensive workflows such as triage, remediation, and autonomous penetration testing.

How does Aptori help teams remediate vulnerabilities?

Aptori links validated risk to the affected code, dependency, API, workflow, environment, owner, and root cause. It then provides precise remediation guidance and retests the same vulnerable path after changes are made.

Can Aptori work with an existing AppSec toolchain?

Yes. Aptori can normalize native and third-party findings into its security data lake, connect them to application context, and help teams prioritize, remediate, and verify risk without requiring every existing security tool to be replaced.

Can Aptori run in sovereign or self-managed environments?

Yes. Aptori supports managed SaaS, dedicated deployments, self-managed Kubernetes deployments, and controlled or air-gapped environments, with model routing to approved local or hosted LLMs.

Close the risk attackers can exploit

See the entire application. Secure what matters.

Unify prevention, runtime validation, autonomous testing, remediation, and continuous assurance in one AI-native application security platform.

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