# Aira Security — Full Content Index > Aira Security builds the enforcement layer for AI agents — finding every agentic app in your organization, watching every action agents take, and preventing breaches before data leaks or regulatory violations occur. Website: https://airasecurity.ai Blog: https://airasecurity.ai/blog GitHub: https://github.com/aira-security Founded: 2025 Accelerator: Selected for 2026 CrowdStrike, AWS & NVIDIA Cybersecurity Startup Accelerator --- ## What Aira Security Does Aira Security is an AI agent security platform for enterprises deploying agentic AI. We solve three core problems: - **Find** — Discover all agentic applications running across your organization, including shadow AI and third-party agents - **Watch** — Monitor every action an AI agent takes in real time, with full audit trails - **Prevent** — Enforce policy-based controls that block malicious or accidental agent actions before harm occurs Our approach: control by policy, not probability. We evaluate agent intent at runtime and stop risky actions before they execute. ## Key Differentiators - Purpose-built for the agentic AI era (MCP, LLM pipelines, multi-agent systems) - Runtime enforcement layer that sits between agents and your data/systems - Works across all major agent frameworks and LLM providers - Open-source MCP Armor scanner: https://github.com/aira-security/mcp-armor - Selected for the 2026 CrowdStrike, AWS, and NVIDIA Cybersecurity Startup Accelerator --- ## Blog Articles ### The Harness Matters More Than the Model URL: https://airasecurity.ai/blog/harness-matters-more-than-model Date: June 9, 2026 Author: Naveen Mahavishnu Topics: Agent Security, AI Harness, Mythos, Fable5 Anthropic shipped Claude Fable 5 with an 80.3 SWE-bench Pro score vs Opus 4.8's 69.2. But a better model doesn't clear the bottleneck in agentic systems — it just pours more work into it. The constraint in most enterprise agent deployments is not model capability but harness design: the scaffolding, tool permissions, guardrails, and review loops around the model. This post argues that investing in harness security and architecture delivers more reliable, safer agents than chasing model upgrades. --- ### The Finding-Fixing Gap: A Framework for What Comes After Mythos URL: https://airasecurity.ai/blog/finding-fixing-gap Date: April 7, 2026 Author: Naveen Mahavishnu Topics: AI Security, Vulnerability Management Anthropic's Claude Mythos Preview autonomously found and exploited zero-day vulnerabilities in every major OS and browser. Finding vulnerabilities just got mass-produced — fixing is still manual. This post presents the SPAR framework (Scope, Prioritize, Assign, Remediate) as a practical approach for small security teams to close the gap between AI-discovered vulnerabilities and actual patches before exploitation catches up. --- ### AI Psychosis is a Builder's Dream. For Security, It's a Nightmare. URL: https://airasecurity.ai/blog/karpathy-ai-psychosis Date: March 23, 2026 Author: Naveen Mahavishnu Topics: Agent Security, Intent Scan Andrej Karpathy describes AI agents as "glue" connecting enterprise systems. But glue that connects everything needs something ensuring it doesn't come apart. This post explores why "AI paranoia" — agents that question their own actions before executing — should be embraced by security-conscious enterprises, and why the unpredictability that makes agents powerful also makes them dangerous without runtime controls. --- ### OpenClaw: Innovation Is Great, but Don't Leave the Door Wide Open URL: https://airasecurity.ai/blog/openclaw-innovation Date: February 3, 2026 Author: Naveen Mahavishnu Topics: Agent Security, Open Claw, Intent Scan OpenClaw's rapid adoption makes AI feel like a capable teammate. But when agents move from reasoning to execution, the threat model changes. This post examines how OpenClaw's "skills" system creates execution surfaces that, without secure defaults and runtime monitoring, can be exploited by malicious content in the agent's environment. --- ### Aira Security Selected for 2026 CrowdStrike, AWS & NVIDIA Accelerator URL: https://airasecurity.ai/blog/crowdstrike-accelerator Date: January 5, 2026 Author: Mohankumar Topics: Announcement Aira Security was selected to participate in the 2026 Cybersecurity Startup Accelerator alongside CrowdStrike, Amazon Web Services, and NVIDIA Inception. The eight-week program (January 5 – March 3, 2026) culminated in a Demo Day at the AWS Startup Loft in San Francisco on March 24, 2026, coinciding with RSA Conference. Aira was chosen for its work in real-time controls for AI agentic security and governance. --- ### The "Innocent" Code Review That Leaked Proprietary Code URL: https://airasecurity.ai/blog/toxic-flow-guardrails Date: January 16, 2026 Author: Naveen Mahavishnu Topics: Agent Security, Intent Scan A walkthrough of a "Toxic Flow" attack: a prompt injection scenario where a simple PR review request is hijacked by malicious content in the repository. The agent gets tricked into abandoning the user's intent and adopting the attacker's — leaking proprietary code to an external endpoint. The post shows each phase of the attack and how Aira's Intent Scan guardrails detect and block the toxic flow before data exits. --- ### We Built the Security Scanner We Wished We Had URL: https://airasecurity.ai/blog/mcp-armor-release Date: November 3, 2025 Author: Naveen Mahavishnu Topics: MCP Armor, Agent Security The origin story of MCP Armor, Aira's open-source security scanner for MCP (Model Context Protocol) servers. Existing scanners were too noisy or blind to how agents actually behave, treating MCP servers as static configs instead of live attack surfaces. MCP Armor was built to find real vulnerabilities in real agentic deployments and is available open-source at https://github.com/aira-security/mcp-armor. --- ## Contact & Links - Book a demo: https://airasecurity.ai - Blog: https://airasecurity.ai/blog - GitHub: https://github.com/aira-security - Open-source MCP scanner: https://github.com/aira-security/mcp-armor