Best SAST Tools for Developer-First Code Security
A practical, refreshable guide to comparing the best SAST tools for language support, rule quality, developer workflow, and remediation speed.
A lightweight index of published articles on Scan Quest Labs. Use it to explore older posts without the heavier homepage layouts.
Showing 1-79 of 79 articles
A practical, refreshable guide to comparing the best SAST tools for language support, rule quality, developer workflow, and remediation speed.
A practical framework for measuring security scanning ROI using coverage, MTTR, noise reduction, and risk-based DevSecOps metrics.
A practical checklist for secrets scanning in Git repos, including what to detect, what to block, and how to rotate exposed credentials.
A practical buyer guide to comparing container scanning tools for Docker and Kubernetes by coverage, SBOM support, workflow fit, and audit needs.
A practical guide to adding fast, low-noise security scan gates to pull requests without slowing developer workflow.
A practical guide to building and updating a vulnerability SLA matrix by severity, asset type, and compliance needs.
A practical guide to CSPM vs CWPP vs CIEM, with comparison criteria, use cases, and advice on when to revisit your cloud security stack.
A practical framework for scoring vulnerabilities beyond CVSS using exploitability, exposure, asset context, and business impact.
A practical 2026 buyer’s guide to comparing SCA tools for dependency risk, remediation, reachability, license control, and CI/CD fit.
A practical guide to which OWASP Top 10 risks automated scanners catch well and which still require manual testing.
A practical SOC 2 vulnerability management checklist for security scanning coverage, evidence, remediation, and audit readiness.
A practical guide to comparing and building layered container security scanning for images, dependencies, Kubernetes, and runtime.
A reusable IaC security scanning checklist for Terraform, CloudFormation, and Kubernetes manifests, with review points teams can update over time.
A practical, evergreen guide to comparing API security testing tools by auth handling, schema awareness, CI/CD fit, and developer usability.
A reusable checklist for turning PCI DSS vulnerability scanning requirements into repeatable workflows, evidence, and remediation steps.
A reusable API security scanning checklist for REST, GraphQL, and gRPC teams building safer, reviewable release workflows.
A practical guide to reducing false positives in vulnerability scanning through better tuning, validation, and risk-based triage.
A practical DAST tool comparison for modern web apps, focused on automation, authentication, false positives, and developer workflow fit.
A reusable CI/CD security scanning checklist for GitHub Actions, GitLab CI, and Jenkins, with practical gates, exceptions, and review points.
A practical comparison of SAST, DAST, SCA, and IAST to help teams choose the right scanner mix for their SDLC.
A deep-dive guide to using continuous scanning and service verification to prove AI-driven automation is safe, reliable, and intended.
A practical checklist for keeping identity, endpoints, and admin recovery working when cloud control planes go offline.
A scanning playbook to catch tariff-driven policy drift in contracts, suppliers, routing rules, and country restrictions before it becomes exposure.
Power grid outages reveal how cloud-dependent teams can eliminate single points of failure and build real fallback planning.
A deep dive into how scanning between OMS, WMS, TMS, and partner APIs exposes hidden supply chain control gaps before outages or audits.
Find and prove where data, models, and access really live after a JV or spin-off—before hidden retention becomes a breach.
A practical checklist for scanning magic links, OTPs, and passwordless login flows for replay, phishing, leakage, and compliance gaps.
A playbook for proving compliance with evidence, not paperwork—using TikTok-style ownership and data shifts as the model.
A Jenkins plugin compromise shows how to audit CI/CD scanners, pin versions, rotate secrets, and stop supply chain drift.
A practical guide to securing agent-to-agent supply chain workflows with identity, authorization, scanning, and continuous validation.
Build one workflow to track assets, vendors, policies, controls, and evidence for continuous compliance.
A practical enterprise checklist for securing AI browsers with policy, allowlists, telemetry, device compliance, and user training.
A deep-dive on how age-gating rewires authentication, privacy, retention, and compliance for platform security teams.
Broken asset discovery creates compliance failures by hiding scope, control gaps, and exceptions before the audit even starts.
A policy-first playbook to stop shadow AI, block sensitive data sharing, and roll out enforceable AI acceptable use controls.
A practical guide to scanning MFA, recovery, session, and privileged access gaps in SaaS and ad consoles.
A deep-dive guide to defense tech procurement risk, covering auditability, data handling, supply chain issues, and vendor assurance.
A 2026 guide to Mac fleet security beyond malware: persistence, drift, privilege abuse, inventory gaps, and telemetry that actually matters.
A practical enterprise rollout plan for passkeys, covering admins, shared accounts, recovery, and policy enforcement.
A governance blueprint for digital marketplaces covering pricing transparency, account security, fraud prevention, and audit-ready policy logging.
A practical AI vendor risk playbook for data sourcing, contract safeguards, and audit evidence that helps teams buy smarter.
A deep-dive on battery supply chain risk for data centers, covering firmware, vendor access, compliance, and operational resilience.
How hacktivists weaponize leaked contracts and documents—and how security teams should prepare for disclosure-driven incidents.
A practical AI governance baseline for security teams: inventory, classify, approve, monitor, and audit AI use across the enterprise.
A security-first guide to scanning age verification for biometrics, data minimization, consent gaps, and compliance risk before deployment.
A manufacturer’s cyber recovery playbook for segmentation, backup validation, identity recovery, and safe plant restart.
Learn how to scan AI prompts and chat logs for secrets, PII, and regulated data before retention creates lasting risk.
A deep-dive on AI browser security, extension risk, prompt injection, and runtime scanning for enterprise endpoints.
Build a security control plane that finds shadow IT, inventory gaps, and unmanaged assets before they become audit or breach exposure.
A practical workflow to score, dedupe, and verify AI-generated vuln reports without burning out triagers.
A deep-dive guide to detecting malicious browser extensions that abuse AI assistants, exfiltrate data, and exploit enterprise browser context.
Build a scanner that tracks deprecation signals, inventories dependencies, and notifies customers before connected products go dark.
A deep-dive blueprint for safe Android sideloading with signed-package checks, policy enforcement, and trusted distribution.
Turn public reports into a repeatable triage workflow for security, compliance, and trust risk before incidents become outages.
A practical checklist for auditing AI vendor contracts for data access, bulk analysis, and surveillance risk.
A deep enterprise risk review of AI coding assistants, Copilot tradeoffs, source-code exposure, prompt security, and governance controls.
Learn how Jamf’s Mac malware trends should reshape endpoint scanning, EDR coverage, triage priorities, and macOS hardening.
A technical guide to how secure boot, TPM, and anti-cheat style gating can enforce device posture and document exceptions.
Private DNS helps, but it’s not enough. Compare network filtering vs app-level controls and learn how scanning proves coverage gaps.
A practical guide to supply chain risk designations, vendor assurance, procurement pressure, and audit-ready documentation.
Learn how to audit high-risk data requests, key release paths, and access controls before they become compliance incidents.
Airport identity inconsistency is a blueprint for resilient security controls, fallback workflows, and safe degraded-mode access.
Turn the Apple YouTube lawsuit into an audit-ready AI data sourcing workflow for copyright, privacy, and governance risk.
A board-ready guide to auditing AI vendors: contracts, data access, logs, disclosures, and the governance lessons behind a public scandal.
A deep-dive guide to detecting stalkerware, Bluetooth trackers, and malicious extensions across mobile, browser, and IoT ecosystems.
A practical playbook for detecting sensitive contract data with DLP, document scanning, and metadata checks across cloud tools.
Learn how to stop risky OTA, firmware, and driver updates before they brick devices or break release pipelines.
A practical incident-response playbook for correlating logs, identity signals, browser telemetry, and AI activity to find root cause.
Build a continuous scan to block PII, copyright, and licensed-content risks before user-generated content reaches training or analytics.
Apple’s AirTag update reveals privacy-by-design lessons for abuse detection, thresholds, and user notifications in connected products.
Antitrust scrutiny can reveal hidden platform risk. Learn how to turn monopoly pressure into stronger privacy, security, and compliance controls.
A practical AI risk scoring model for superintelligence readiness, focused on capability, autonomy, misuse risk, and enterprise guardrails.
Learn how to log suspicious calls, tag vishing attempts, and auto-escalate high-risk events in your help desk and SIEM stack.
A compliance-first guide to testing geo-blocking, access controls, and ISP-facing enforcement with audit-ready evidence.
Build a repeatable, audit-ready cyber crisis communications runbook with approval paths, templates, and evidence capture.
Learn how DNS filtering can detect trackers, risky domains, and policy violations across your privacy stack.
Rapid consumer tech growth can hide security debt in pipelines, dependencies, and exposed services—here’s how to spot it fast.
Learn why silent scam calls happen, how to detect them, and how telephony teams and users should respond safely.
A deep-dive blueprint for detecting Android malware at scale, using the NoVoice Play Store case to design better scanning and telemetry.