The threat landscape today
90%
of vulnerabilities are introduced during coding and build stages
33%
of all successful attacks target web applications
60%
of pentests entered through web applications
Source: PT SWARM penetration testing reports, H2 2024 — Q3 2025
A high-precision platform to secure your code. Find actionable risks without the noise
What is Application Inspector?
An AppSec tool that combines SAST, SCA, and DAST in one platform — plus ML-based malicious code detection and secrets detection. It scans your source code and open-source libraries, confirms what’s actually exploitable, and helps security and development teams focus on the same list of real, actionable risks.
Quality Gates
Automatic decision making
OWASP Top 10
Full compliance coverage
CI/CD systems
Integrated out of the box
Malicious code & secrets
Found with ML and data-flow analysis, not signatures
What Application Inspector does for your team
Produce a full software bill of materials, see which open-source components create real risk — and catch malicious code planted in packages: backdoors, hidden execution, data exfiltration. ML analysis, not signatures.
See every dependency — and what’s hiding in it
Fix real problems, not false alarms
Smart analysis eliminates unnecessary alerts so your team fixes real problems.
Find issues before you commit
Findings and fix guidance appear inside VS Code, Visual Studio, and JetBrains — including hardcoded passwords, API keys and tokens, caught before they ever reach the repository.
Prioritise by business risk
Set your own security rules and focus on what impacts your business — not generic severity scores.
Four ways to scan — pick what fits your workflow
Value for every role — backed by real customer stories
Catch flaws as you code
view vulnerabilities right inside your IDE without breaking focus
view vulnerabilities right inside your IDE without breaking focus
Get actionable remediation steps
not just a list of issues, but practical steps to fix them
not just a list of issues, but practical steps to fix them
Cut the noise
focus on actual security risks
focus on actual security risks
Trusted across industries
Banking
Fintech
Retail
E-commerce
Insurance
Technology
Government
Industrial
Get 2026 DevSecOps Strategy for free
Looking to accelerate releases without sacrificing security? We analyzed pipelines in e-comm, fintech and digital logistics and speeded up their time-to-market while reducing vulnerability risks by up to 60%
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Why companies choose us
How Application Inspector fits into your workflow
Connect your sources, run smart analysis, and get results right inside the tools your team already uses
What Application Inspector does
We don't just show you vulnerabilities.
We show you which ones really matter.
We show you which ones really matter.
All videos available with Indonesian subtitles
What you get
Up to 2x fewer false positives
Your team focuses on real risks, not noise
IDE & CI/CD plugins out of the box
No long setup process
AutoCheck confirms what's exploitable
Automatically, with evidence attached
SAST + SCA + DAST
Plus ML malicious code detection and secrets in code — four risk types, one tool.
23+
years R&D in cyber security
4,000+
enterprise customers worldwide
2,600+
security specialists
31k+
vulnerabilities found in corporate systems annually
An industry leader in results-driven cybersecurity
Positive Technologies is a major global provider of information security products and solutions. Our mission is to safeguard businesses and entire industries against the threat of cyberattacks.
Global vendor covering almost all continents and regions, including SOUTH–EAST ASIA, MENA, LATAM, INDIA, etc.
Client Cases
Request a demo
We will get back within one business day with a tailored pilot plan.
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or write to us directly on info@positech.id (local team available for Indonesia & SEA)
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FAQ
How is Application Inspector different from other security scanners?
Application Inspector combines SAST + SCA + DAST capabilities in one tool, adds ML-based malicious code detection and secrets detection, automatically verifies real vulnerabilities with AutoCheck, and gives you significantly fewer false alarms than tools that rely on pattern matching alone.
Can Application Inspector scan open-source libraries?
Yes. Application Inspector includes Software Composition Analysis (SCA). We show you which libraries actually create real risk in your application — not just a long list of CVEs.
What if my developers already use a code quality tool?
Application Inspector works alongside your existing tools. We focus specifically on security vulnerabilities — not code style or duplication. There's no conflict.
How accurate is Application Inspector?
Application Inspector uses abstract interpretation instead of relying only on pattern matching. This means significantly fewer false positives — your team sees real issues, not endless noise.
Can developers use Application Inspector directly in their IDE?
Yes. We provide native plugins for VS Code, JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, GoLand, and more), and Visual Studio.
Do I need special hardware or a long setup process?
Nо. You can start a pilot in 1 week with regular hardware requirements. We provide all the requirements upfront so there are no surprises.
Is my data safe during the pilot?
Yes. You can run the pilot entirely in your own environment (on-prem or private cloud). Your source code stays under your control at all times.
Does Application Inspector slow down your CI/CD pipeline?
Nо. Scans are fast and incremental — only changed code is re-analyzed. You can set quality gates to block only on critical issues, so non-critical findings never delay your build.
What programming languages are supported?
C/C++, C#, Go, Java, JavaScript, TypeScript, Kotlin, Objective-C, Python, PHP, Ruby, Scala, Solidity, Swift, SQL — and hundreds of frameworks built on top of them. Malicious code detection currently covers Python, JavaScript and TypeScript; the rest of the analysis covers the full list above.
Do you offer on-prem deployment?
Yes. Application Inspector can be deployed on-prem, or in a private, hybrid, or public cloud environment. The choice is yours.
Can Application Inspector detect malicious code, not just vulnerabilities?
Yes. A vulnerability is a mistake; malicious code is intent. Our ML-based analyzer looks for deliberately planted logic — backdoors, hidden code execution, data exfiltration, obfuscation, loaders and cryptominer activity — the kind of behaviour that arrives through open-source dependencies, contractor deliveries and the software supply chain, and that signature-based tools are not designed to find. On the open OMCBench benchmark it reaches 94% detection quality, with +15% F1 and +40% precision compared with signature-based approaches.
Does the ML analysis send my code to an LLM or to the cloud?
No. The model runs locally on standard CPUs — no LLM, no GPU and no external service. Your source code never leaves your infrastructure, so the capability works inside an on-prem deployment and does not create new personal-data transfer questions under UU PDP.
How does Application Inspector find secrets in code?
Through data-flow and entropy analysis rather than signatures. We do not simply match strings that look like a key — we trace where a secret comes from, where it is passed, and where it is actually used. A secret that reaches a sensitive call is reported as real risk, which means far fewer false "secrets" for your team to triage.
Why does secrets detection matter more now that our team uses AI coding assistants?
Because more code means more credentials left behind. 28.6 million new hardcoded secrets appeared in public repositories during 2025 — 34% more than the year before — and leaks occur about twice as often in AI-assisted commits. Internal repositories are roughly six times more likely to contain one. (GitGuardian, State of Secrets Sprawl 2025.)
Does malicious code detection replace our antivirus, EDR or SOC?
No. Application Inspector works on source code and dependencies before a release reaches production, and it complements rather than replaces antivirus, EDR, SIEM or a SOC. A detection is a finding to review with full context attached — not an automatic verdict that something is already being exploited.
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