Harden: The End-to-End Security Platform for AI Agents in an Era of AI-Powered Attacks

AI agents are no longer just generating text: they read source code, secrets, customer records, tickets, logs, and documentation; run shell commands; call external services; and write or publish code. The flaws that breach these agents - broken authorization, IDOR, tenant isolation, agent tool authority, business-logic abuse - don't have deterministic rules or CVEs and are highly dependent on the agent itself.

Attackers can weaponize these same capabilities—or plant malicious instructions inside repositories, issues, packages, and documents—to exfiltrate sensitive data, poison software, misuse trusted tools, and discover attack paths at machine speed.

Harden is the end-to-end security platform for this agentic era, protecting AI agents from their first commit through every action they take in production. Running entirely in the customer’s cloud, Harden’s AI security fleet attacks code like an adversary, verifies business-logic and authorization flaws with working proofs of concept, consolidates traditional security scanning into one report, and turns confirmed findings into reviewable fix pull requests.

At runtime, the Harden AI Firewall follows data and intent across the full agent session, determining what sensitive information the agent accessed, which tool or destination it is about to use, whether the action is relevant to the user’s task, and how earlier actions change its risk. It can then make an explainable policy decision to allow, block, constrain or rewrite the action, route it for human approval, or preserve it as tamper-evident evidence for security, governance, and compliance teams.

This presentation will show how Harden helps enterprises move beyond point-in-time testing, prevent agents from turning legitimate authority into dangerous behavior, consolidate fragmented security controls, and adopt AI agents at full speed without giving up security, control, or trust.