Security services for applications and SaaS

As SaaS adoption grows, control shifts to end users and customer admins — where misconfigurations and misuse are most common. In SaaS, risk concentrates around roles, sessions, tokens, and APIs.

• Auth / session: weak MFA, flawed SSO/OAuth flows, long-lived sessions, leaked refresh tokens, missing device/context binding, unsafe account switching.
• RBAC / ABAC: overly broad default roles, no separation of duties, permission inheritance issues, privileged actions without step-up auth, no break-glass process.
• Shadow integrations: users connect third-party apps via OAuth/API keys, creating unmanaged data-exfil channels.
• Insider actions: exports, bulk deletes/updates, sharing changes, audit log tampering — often indistinguishable from “legit” activity without proper monitoring.

In SaaS, the most critical failure is breaking tenant boundaries — a single tenant-context bug can become cross-tenant access.

• Application isolation: tenant-context bugs (IDOR, tenant_id spoofing), unsafe global queries, row-level security gaps, shared cache/job queue leakage.
• Infrastructure isolation: shared DB/cluster/storage, shared secrets, missing network segmentation.
• Collaboration & sharing: public links, guest access, shared spaces, permission templates — frequent sources of accidental exposure.
• Backups & exports: backups, snapshots, analytics stores, search indexes, and logs can become bypass paths to sensitive data.

Secrets are the lifeblood of SaaS: tokens, keys, passwords, certificates, signing keys, KMS. They usually leak through process gaps, not “advanced hacking”.

• secrets in repos, CI logs, env vars, helm values, IaC;
• one key for everything instead of environment/tenant separation;
• weak rotation, no secret scanning, over-privileged service accounts;
• insecure storage/issuance of integration tokens (webhooks, API keys, PATs).

SaaS ships fast, so the software supply chain becomes a prime attack surface.

• CI/CD: artifact tampering, compromised runners, unsafe pipelines, missing artifact signing, weak deploy permissions.
• Dependencies / containers: vulnerable or compromised packages, typosquatting, CVEs in base images, missing SBOM and patch policy.
• IaC: Terraform/CloudFormation mistakes, config drift, uncontrolled console changes.

Many incidents start with cloud misconfigurations rather than zero-days.

• public buckets/snapshots, overly permissive security groups, exposed admin consoles;
• excessive IAM privileges, missing boundary policies, unprotected metadata endpoints;
• weak WAF/rate limiting, poor API protection, lack of segmentation;
• weak encryption settings, unrestricted key usage.

Even strong controls fail without observability, incident readiness, and clear data governance.

• Logging & audit: incomplete audit trails (who, what, when, where from, where to), no action correlation, weak retention, logs not protected from tampering.
• IR readiness: no runbooks, no forensics readiness, untested scenarios (token leak, admin takeover, mass export).
• Data residency & governance: where data actually lives (primary, backups, logs, analytics), deletion/retention enforcement, subprocessor management, GDPR/DPA/enterprise requirements.
• Standards selection: trying to “do everything” (SOC 2 + ISO 27001 + NIST + CIS + industry regs) without control mapping becomes expensive and chaotic; you need a minimal baseline that covers the broadest set of customer demands.