Akto Whitepapers and Solution briefs

A production checklist to harden LiteLLM and add Akto’s runtime guardrails before every model call.

Akto’s six-step checklist for securing personal AI agents like Grok Bot, Instinct, and Muse.

Model-based guardrails and red teaming for AI agents routed through LiteLLM.

Real-time DLP and security enforcement across every Claude Enterprise surface.

3 practical resources in one pack for securing and governing AI agent identities

Orphaned identities to identity spoofing, the 10 AI agent identity risks, explained

Akto's five-stage maturity model for securing and governing AI agent identities.

Complete security for AI agent identities

Security and governance for agent skills

Secure ChatGPT and Codex across your organization

Securing LLMs with a 3-Layer Defense Model

Cheatsheet on Building Safe and Governed AI Agents

The Essential Agentic AI Security Glossary

Cheatsheet on establishing trust for autonomous agents

Cheatsheet on securing the entire AI lifecycle

Cheatsheets on governing AI tools outside enterprise visibility

Test and validate guardrail policies safely before deploying to production agents.

Define and enforce custom AI guardrail policies tailored to your organization.

A complete 2026 AI security strategy for employee and homegrown AI.

Nine enterprise AI security cheat sheets covering guardrails, attacks, and frameworks.

How Akto maps to Gartner's AI Security Platform capabilities across AIUC and AIAC.

How Akto Atlas secures Claude Enterprise Projects and their connected data.

Six critical security risks organizations face from widespread Claude adoption.

Detect and block malicious agent skills installed on employee endpoints.

Discover and govern unsanctioned AI agents running across your organization.

Discover and govern unsanctioned AI agents running across your organization.

Advanced defense mechanisms for securing MCP server deployments at scale.

Visual walkthrough of MCP architecture and where security controls must sit.

Real-world AI security breaches every CISO must know and defend against.

Quick-reference guide comparing the six leading enterprise AI security frameworks.

Framework for governing AI agents across your enterprise environment.

Explore Akto's connector ecosystem - from EDRs to AI Gateways and enterprise SIEM tools.

One security layer for every way your team uses Claude - web, CLI, desktop, and Cowork.

AI coding tools open new attack vectors - learn how Akto secures them across IDEs, CLIs, and agentic workflows.

Brief mapping AWS Bedrock attack vectors - separating cloud misconfigurations from AI-layer threats, and outlining mitigations across AWS controls, DevSecOps, CSPM, and Akto security layers.

AI Agent Red Teaming Cheat Sheet: Attacks, Testing & Remediation

AI Agent Guardrails Cheat Sheet: Risks, Best Practices & Implementation

A practical guide to MCP architecture, top threats, and secure agentic AI

Lightweight endpoint enforcement for safe AI and MCP usage.

Visibility and guardrails for AI agents and tools used by employees.

Runtime security and continuous testing for AI agents running in your cloud.

Get a data-backed view, based on responses from CISOs, AI security leaders, and platform owners, into how enterprises are adopting agentic AI, where security controls stand today, and what leaders should expect as agentic AI scales into 2026.

Get full visibility into risks across LLMs, MCPs, RAG systems, and agents, from prompt injections to goal hijacks. See how Akto tests and strengthens your AI stack against real-world threats.

Explore Akto’s comprehensive AI Security Attack Matrix covering 10,000+ probes mapped to OWASP LLM Top 10 and MITRE ATLAS.

This MCP Security Buyer's checklist outlines key requirements to evaluate MCP Security platforms across discovery, testing, runtime protection, integration, and governance.

This datasheet outlines all the attack techniques Akto’s MCP security engine defends against.