The OWASP Top 10 - 2026 — AppSec & Architecture Masterclass

Track the shift from fortress perimeters to cloud-native, api-first architectures. See how identity, configuration, ai integration, and rapid ci/cd reshape the attack surface through microservices and supply chains.

Explore how the OWASP top 10 uses five data streams—CVE data, bug bounty findings, industry surveys, telemetry from security tools, and incident reports—to perform weighting and normalization of risk.

Explore how identity becomes the new perimeter, embrace zero-trust, defend in depth across distributed systems, and elevate observability as a core security capability.

Explore subtle cryptographic failures, including nonce reuse, key reuse, padding misuse, and choosing the wrong primitives, that quietly undermine security and enable long-term attacks.

Explore how API input from path and query parameters, JSON bodies, headers, and file uploads can become injection points, and learn defense patterns like parameterization, strict validation, and boundary-based encoding.

Analyze real-world injection patterns through two case studies: query builder misuse and improper JSON schema validation. See how untrusted input becomes exploitable, and learn how strict validation prevents interpreter abuse.

Learn how architecture debt silently enables insecure design by drifting security boundaries and expanding permissions. Recognize and address it through architectural reviews, threat modeling, and secure design processes.

Identify how business logic flaws arise from incomplete assumptions about workflows, limits, and client data, revealing vulnerabilities when attackers exploit out-of-order steps or unvalidated inputs.

Cognitive biases shape security design, including optimistic, anchoring, confirmation, normalcy, sunk cost, groupthink, false consensus, and time-pressure biases, weakening threat modeling and secure workflows.

Feature toggles are runtime decision points that influence authorization, validation, and workflow logic, becoming security gates; audit toggles, secure stores, and guard against client-side exposure and drift.

Explore a holistic supply chain risk model across upstream, build, runtime, and distribution, revealing how each stage introduces risks and how to secure the entire software lifecycle.

Explore the seven modes of component exposure—inherent flaws, version drift, transitive dependency inheritance, misconfiguration, insecure defaults, exposure in unexpected threat environments, and maintenance decay—and how they shape attack paths.

Explore how Log4Shell and dependency confusion reveal supply chain fragility. They show how design decisions and ecosystem trust enable remote code execution through vulnerable components.

Ensure integrity across the software supply chain by cryptographically signing artifacts and recording provenance attestations to prove the build, dependencies, and container images remain untampered and immutable.

Explore how trust boundary collapse arises in modern supply chains, from package managers and containers to CI/CD and AI models, and learn strategies for explicit verification, provenance, and isolation.

Inspect transitive dependency collapse and its impact on security and stability, revealing hidden layers, update cascades, hotspots, and cycles that amplify risk across the dependency graph.

Assess AI supply chain risks from model poisoning, data poisoning, and compromised model hubs, and learn to protect models, datasets, embeddings, vector stores, and training pipelines.

Operationalize supply chain security as a daily discipline by maintaining living S-POMs, automated triage pipelines, and continuous attestation across teams, enabling sunset policies for unmaintained dependencies.