Alter

Based in New York City, New York, Alter develops a secure access control and authorization platform designed specifically for artificial intelligence agent workflows. The B2B enterprise software enables software engineering teams to safely manage permissions and strictly govern how autonomous systems interact with sensitive corporate data and external application programming interfaces. Its core infrastructure provides secure OAuth credential management and automatic token injection for external API calls to streamline complex integrations across various enterprise environments. Additionally, the platform incorporates built-in compliance features, including real-time guardrails to prevent unauthorized data leaks and maintain comprehensive audit trails for internal cybersecurity teams. The early-stage SaaS company currently operates with a total of two employees, focusing on the intersection of artificial intelligence development and enterprise security. Alter was officially founded in 2025 by founders Srikar Dandamuraju and Kevan Dodhia.

High-Level Overview

Alter is a secure access control and authorization platform designed specifically for AI agent workflows, enabling enterprises to run AI agents safely in production environments without exposing them to excessive risk. It provides zero-trust identity verification and fine-grained role-based (RBAC) and attribute-based access control (ABAC), ensuring that AI agents only have the permissions they need, for the duration they need them, while maintaining detailed audit trails of every action. This platform addresses critical security challenges such as credential leaks, opaque agent activity, slow security reviews, and overexposure of agent privileges, which can otherwise lead to destructive commands, data exfiltration, or costly errors. Alter serves enterprises deploying AI agents by securing their workflows and enabling compliance, thereby accelerating AI adoption without compromising safety[1].

For an investment firm, Alter represents a cutting-edge solution in the AI security and workflow automation sector, focusing on the intersection of AI agent orchestration and enterprise security. Its mission is to make AI agents safe and manageable in production, reflecting an investment philosophy centered on enabling scalable, secure AI infrastructure. The key sector is AI security and automation platforms, with a significant impact on the startup ecosystem by setting new standards for secure AI deployment and reducing barriers for enterprises to adopt AI-driven automation safely.

Origin Story

Alter was founded by Srikar and Kevan, who bring deep experience from building enterprise-grade infrastructure at ComputeAI and Goldman Sachs, including mission-critical systems for the London Stock Exchange and the Apple Card launch. Their background in high-stakes, secure infrastructure informed their approach to AI agent security. The idea emerged from recognizing the risks posed by long-lived credentials and over-privileged AI agents in production, which could lead to catastrophic failures or compliance breaches. Early traction includes participation in Y Combinator’s Summer 2025 batch, validating the market need for a zero-trust platform tailored to AI agents[1].

Core Differentiators

• Zero-Trust Architecture: Alter enforces strict identity verification and fine-grained access control (RBAC & ABAC) for every AI agent interaction, minimizing risk.
• Centralized Control Layer: Provides a single pane for managing agent permissions, policies, and audit logs, simplifying security governance.
• Instant Policy Enforcement: Automatically rejects dangerous actions based on policy checks, preventing unsafe commands before execution.
• Comprehensive Audit Trails: Logs every request, response, and decision for full transparency and compliance readiness.
• Enterprise-Grade Security Experience: Built by founders with backgrounds in financial and critical infrastructure security, ensuring robustness.
• Focus on AI Agent Workflows: Purpose-built for the unique challenges of AI agents, unlike generic identity platforms[1].

Role in the Broader Tech Landscape

Alter rides the wave of increasing AI agent adoption in enterprise workflows, where AI agents autonomously execute complex, multi-step tasks across systems. As organizations move from manual to agentic workflows, security concerns become paramount due to the potential for AI agents to cause unintended damage if over-privileged or poorly monitored. The timing is critical because AI adoption is accelerating rapidly, but security and compliance remain major bottlenecks. Market forces favor platforms like Alter that enable safe, scalable AI deployment by addressing these risks head-on. Alter influences the broader ecosystem by setting a security standard for AI agents, encouraging more enterprises to embrace AI automation without sacrificing control or compliance[1][2].

Quick Take & Future Outlook

Alter is positioned to become a foundational security layer for AI agent workflows as enterprises scale their AI initiatives. Future trends shaping its journey include the growing complexity of AI-driven automation, regulatory demands for auditability and least-privilege access, and the expansion of zero-trust security models into AI operations. As AI agents become more autonomous and integrated, Alter’s platform could evolve to support broader agent orchestration, real-time threat detection, and adaptive policy enforcement. Its influence will likely grow as it helps enterprises balance innovation speed with operational safety, making AI agent deployment a secure, routine part of business processes[1].

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This overview synthesizes Alter’s mission, product, founding story, unique strengths, and strategic role in the evolving AI and security landscape based on the latest available information from Y Combinator and related sources.