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Bastion

Continuous compliance and auditability for enterprise autonomous engineering

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Engineering teams adopting autonomous AI agents face severe friction from CISOs who block deployments due to unmonitored agent actions and compliance violations.

Bastion acts as the enterprise control plane that governs, logs, and validates every security skill executed by AI coding assistants against NIST CSF 2.0 and MITRE ATT&CK. It automatically enforces organization-wide RBAC policies, continuously injects verified security context into agent sessions, and streams structured audit logs directly into enterprise SIEMs like Splunk or Datadog. By providing real-time visibility and automated policy enforcement, enterprises accelerate AI developer velocity without sacrificing audit readiness or data privacy.

Bastion is building the standard security and compliance infrastructure for the autonomous software era.

COMMENTS — Community Discussion
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#Cyber#DevTools#Ops#Data#Gov
Problem
  • When I manage enterprise SecOps, I want to allow developers to use autonomous coding agents, but untracked agent actions create severe compliance breaches costing $250k+ per incident in audit prep and manual reviews.
  • Why Now: Autonomous AI agents are rapidly gaining terminal access across thousands of corporate repositories without standardized security logging.
  • When I prepare for SOC2 or NIST AI RMF audits, I want to prove agent guardrails are enforced, but verifying scattered developer LLM sessions requires 120+ hours of manual log parsing.
  • When I update internal security standards, I want all developer AI tools to instantly align, but security teams have no central hub to distribute and enforce verified security skills.
  • Existing Alternatives: Static security guidelines in Confluence, raw unmanaged prompt libraries on GitHub, and reactive pull request code reviews.
Solution
  • High-Level Concept: Datadog for autonomous AI agent security and enterprise compliance.
  • Centralized governance engine that streams real-time agent action telemetry directly to enterprise SIEM platforms.
  • Automated mapping of agent interactions against 6 global security frameworks including MITRE ATT&CK and NIST CSF 2.0.
  • Zero-latency policy controller that dynamically injects enterprise security rules into Cursor, Claude Code, and Copilot.
Distribution
  • Early Adopters: CISOs, VPs of Infrastructure, and DevSecOps Leads at Series B+ B2B SaaS enterprises using AI coding tools under strict regulatory mandates.
  • Direct outbound sales targeting security leaders at companies showing active public repository usage of AI developer tools.
  • Co-marketing webinars and technical whitepapers co-authored with enterprise security compliance auditors and GRC consultants.
Pricing
  • Value Ladder: Free Tier (up to 5 developers with basic local logging)
  • Pro ($49 per developer/month for centralized SIEM streaming)
  • Enterprise ($120k+ annual contract with custom compliance policies, SAML SSO, and dedicated support).
  • One Metric That Matters (OMTM): Monthly active audited agent skill executions.
  • Market Sizing: SAM of 15k mid-market tech organizations at $40k average ARPU = $600M; Year 1 SOM target of 40 enterprise accounts at $50k ARR = $2M revenue.
Scale Costs
  • High-throughput streaming telemetry infrastructure capable of processing millions of real-time agent skill logs per minute.
  • Proprietary security skill mapping engine continuously maintained by specialized security research teams.
  • SOC2 Type II and ISO 27001 continuous compliance auditing along with enterprise-grade dedicated cloud hardware hosting.
Expert Opinions
Avg: 9.6
  • Former CISO at Fortune 500 Financial & DevSecOps Strategist
    9.8
  • VP of Enterprise Engineering & Compliance Architect
    9.5
  • Managing Director at Enterprise Cybersecurity VC
    9.6
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