The Agentic Pillar
AI-assisted architecture reviews, autonomous remediation, and policy-aware agents that operate cloud workloads safely — the next evolution of WAF++.
What makes a workload agentic?
Agentic does not mean uncontrolled automation. It means systems that can observe, decide, and act within guardrails defined by the other seven pillars.
Agents continuously read telemetry, cost signals, compliance posture, and architecture state — not as a dashboard, but as context for decisions.
LLMs and rule engines evaluate trade-offs against WAF++ controls, sovereignty constraints, cost budgets, and SLOs before recommending action.
Approved changes are executed through policy-as-code pipelines, with human approval for high-impact operations and full audit trails.
Agentic in practice
Controls and workflows that bring AI operators into your governance model without giving up accountability.
Submit a design and receive a structured 8-pillar assessment with concrete gaps, risk ratings, and suggested controls.
Agents fix drift, resize idle resources, and enforce tagging — but only inside approved guardrails and with evidence attached.
Every infrastructure change is checked against WAF++ controls before merge, with plain-language explanations and remediation hints.
PASS scores are updated automatically as agents discover, remediate, or verify controls across your estate.
Three levels of agentic maturity
Progress from assisted decisions to closed-loop automation, with human oversight always at the right level.
AI generates recommendations, checklists, and drafts; every action is reviewed and executed by a human operator.
Agents execute low-risk, pre-approved remediation paths automatically and escalate exceptions to humans with full context.
Closed-loop operations within guardrails: observe, decide, act, verify, and report — while remaining auditable and reversible.
How Agentic fits the other pillars
Agentic is not a replacement for the existing seven pillars — it is the operating layer that makes them actionable at scale.
Threat-aware agents prioritize misconfigurations by exploitability and blast radius.
Agents recommend right-sizing, scheduling, and idle-resource elimination with budget guardrails.
Self-healing runbooks and SLO-aware rollback keep services within error budgets.
Data residency, vendor neutrality, and human-in-the-loop rules are enforced as hard constraints.
Start building agentic workloads
Read the full Agentic pillar documentation or run your first automated review with WAFPass.