Harden
Harden is an AI-safety and cybersecurity company building guardrails for the software factory powered by autonomous coding agents. Its products protect agent actions before execution and help enterprises scan, harden, govern, and continuously monitor AI-built applications.
At a Glance
- Individual developers
- Engineering and platform teams
- CIO, CISO, IT, and enterprise security teams
- Enterprises building internal applications with AI coding tools
- +2 more
AI Tools by Harden
(1)
Harden AIF
AI Security Monitor for Coding Agents
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Latest News
Published Agentic Integrity Foundation research and evidence, reporting benchmark comparisons with GPT-5.5 and GPT-5 Nano.
Public AIF repository added license and notice files.
Published “Build is solved. Shipping with governance is not.” about securely shipping AI-built enterprise applications.
Published “Your shadow AI problem is an inventory problem” about runtime discovery and governance of AI tools.
Products & Services
A local-first endpoint-security product that evaluates supported coding-agent tool calls before execution. It can allow, ask for approval, redact, make an action safe, block it, or record it; decisions and evidence are stored locally.
A repository and application security platform that reasons across code, dependencies, secrets, endpoints, runtime behavior, and business logic to identify connected exploit paths, generate reviewable source fixes, and scan every new commit.
Market Position
Harden positions AIF as an independent, local-first agent-endpoint security control rather than an MCP gateway, sandbox, or ordinary scanner. AI Scanner differentiates from legacy SAST/SCA products by connecting code, identity, dependencies, runtime behavior, and business logic into reachable exploit paths and producing reviewable fixes; relevant comparison categories include Snyk, Semgrep, and GitHub Advanced Security/CodeQL.
Leadership
Founders
Pushpak Pujari
Co-founder and CEO; product leadership experience at Verkada, AWS IoT, and Sony. His public profile also describes him as formerly at Verkada and Amazon AGI, with a Wharton MBA and IIT background.
Pushpendre Rastogi
Co-founder and CTO; AI research experience at Google DeepMind and Amazon Alexa, with prior research associated with Johns Hopkins University and IIT Delhi.
Executive Team
Pushpak Pujari
Co-founder & CEO
Product leadership at Verkada, AWS IoT, and Sony; public profile also identifies prior Amazon AGI experience.
Pushpendre Rastogi
Co-founder & CTO
AI research experience at Google DeepMind and Amazon Alexa; associated with Johns Hopkins University and IIT Delhi research backgrounds.
Board of Directors
Founding Story
Harden was started to provide an independent security and control layer for autonomous coding agents and AI-built software. The founders' stated premise is that frontier-model providers and developers are incentivized to complete tasks quickly, while a separate cybersecurity company is needed to evaluate tool calls, enforce policy, and prevent unsafe actions or insecure applications from reaching production.
Business Model
Revenue Model
AIF uses a freemium model for individual developers and a custom enterprise offering. AI Scanner offers free, Pro per-user, and custom Enterprise/BYOC plans; enterprise revenue comes from paid software subscriptions/deployments, support, compliance, and deployment requirements.
Pricing Tiers
For individual developers; core local pre-execution secret-flow blocking, supported agents, block-and-steer, local decision store/audit view, no account required, and telemetry opt-out.
Compliance reporting, air-gap/zero-telemetry mode, MDM installation, support SLAs, and custom terms.
2 users, 5 connected repositories, 20 full scans/month, 25 auto-remediations/month, weekly re-scans/manual scans, and community support.
100 repositories, 500 pooled scans/month, 1,000 auto-remediations/month, every-commit CI scanning, Jira/Linear sync, reports, and priority support.
BYOC in AWS, Azure, or GCP; customer-perimeter deployment, custom limits, SSO, SCIM, RBAC, audit-log export, compliance evidence, dedicated capacity, and SLA support.
Target Markets
- Individual developers
- Engineering and platform teams
- CIO, CISO, IT, and enterprise security teams
- Enterprises building internal applications with AI coding tools
- Organizations requiring BYOC, air-gapped, or customer-perimeter deployment
- Enterprise software and AI application development
- Protecting autonomous coding-agent sessions from destructive actions, privilege escalation, unauthorized access, persistence, supply-chain sabotage, and outbound exfiltration
- Safely deploying coding agents against production infrastructure
- Scanning and hardening AI-generated internal applications before release
- Finding connected attack paths that traditional isolated scanner findings miss
- Continuous security governance of AI-built applications in CI/CD
- Enterprise deployments where source code, secrets, runtime data, and AI traffic must remain inside a customer-controlled cloud perimeter
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