Agentic AI Security Tools
Agentic AI security tools protect AI agents that act on their own: agents that call APIs, read and write data, use tools and take actions on behalf of users. Because an agent can do far more than answer a question, the risks go beyond a chatbot's — an agent that is manipulated or over-permissioned can leak data, change records or trigger transactions.
These tools give security teams visibility into which agents are running, what they are allowed to touch, and what they actually do. Typical capabilities include an inventory of agents and the tools they connect to, identity and least-privilege access for agents, guardrails against prompt injection and unsafe tool use, data-loss controls, and runtime monitoring with an audit trail of every agent action.
Agentic AI security overlaps with AI security posture management, API security and identity governance, but focuses on autonomous behaviour: what an agent decides to do at runtime, not only how the underlying model was built.
Compare 18 agentic ai security tools below, or open the full directory to filter by your whole stack.
Skills Security Scanner
Backslash SecurityScans AI agent Skills for security risks.
BlackBerry CylancePROTECT
BlackBerryBlackBerry CylancePROTECT uses AI to proactively prevent malware and advanced threats. IBM integrates BlackBerry's solution as part of its managed security services. By utilizing IBM QRadar, Advanced Threat Detection is…
Agent Boundaries
CoderCreates a firewall around AI agents, preventing unauthorized access to the internet and ensuring agents only access trusted sources.
Coder AI Bridge
CoderA gateway for AI requests, handling authentication, observability, and policy enforcement for AI agents.
Darktrace Antigena
DarktraceDarktrace Antigena is an autonomous response technology that uses AI to detect and respond to cyber threats in real time. It learns the normal behavior of the network and automatically neutralizes threats. The integratio
Fiddler Trust Service
Fiddler AIStrengthens AI guardrails and LLM monitoring, mitigating LLM security risks by scoring extensive metrics for advanced use cases and compliance.
Guardrails
Fiddler AIEnsures AI safety and compliance by protecting and enforcing AI applications with guardrails that prevent costly incidents in real-time.
Glean Protect
GleanProvides AI security features including autonomous agent guardrails, sensitive content protection, and private-by-design architecture.
Confidential AI/ML
InpherEnables the development and deployment of AI and Machine Learning models on sensitive data without exposing it.
Graphus
KaseyaAI-powered email security solution that detects and prevents advanced threats like phishing and business email compromise.
Secure Enterprise Browser
Menlo SecurityProvides a cloud-based browser isolation platform to protect users, applications, and data from modern web threats using an AI-driven secure cloud browser.
Orca AI
Orca SecurityLeverages artificial intelligence to enhance risk detection, simplify investigations, and accelerate remediation across cloud environments.
Agentic Data Plane
RedpandaA governed access layer that unifies data systems for safe, contextual, real-time AI and agentic applications.
Agentic AI Security Layer
SkyflowSecures the flow of sensitive data for AI agent workflows, de-identifying data in prompts and rehydrating responses.
Snyk Code
SnykAI-powered code scanning to find and fix security vulnerabilities and bugs in real-time.
AI Security Platform
StraikerA platform focused on securing AI models and applications, ensuring their integrity and preventing malicious manipulation.
Sysdig Cloud Sandbox
SysdigA secure environment for testing and analyzing suspicious files and code in cloud-native settings without risking production systems.
AI-Powered Threat Detection
Torq Technologies LtdLeverages AI to detect sophisticated threats and anomalies in real-time.
What to look for in agentic ai security tools
- Discovery: finds every agent, model and tool connection in use, including unsanctioned ones.
- Agent identity and least privilege: each agent gets its own scoped credentials, not a shared service account.
- Tool and data access policies: limits which APIs, systems and data an agent may call or read.
- Prompt-injection and jailbreak protection for inputs, retrieved content and tool outputs.
- Runtime monitoring: detects risky or anomalous actions and can block them before they complete.
- Audit trail: records every prompt, tool call and action for investigation and compliance.
- Integrations with your agent frameworks, identity provider, SIEM and data-security stack.
Frequently asked questions
What is agentic AI security?
Agentic AI security is the practice of protecting AI agents that take actions autonomously — calling tools, using APIs and handling data — from misuse, manipulation and over-permissioned access, while keeping a record of what they do.
How is agentic AI security different from LLM or AI model security?
Model security focuses on how a model is trained, deployed and prompted. Agentic AI security adds controls for what the agent can do: its identity, the tools and data it can reach, and the actions it takes at runtime.
What are the main risks of AI agents?
The most common risks are prompt injection that hijacks an agent's instructions, excessive permissions that let an agent reach data or systems it shouldn't, sensitive-data leakage through outputs or tool calls, and actions that cannot be traced or audited afterwards.
Who needs agentic AI security tools?
Any organisation deploying AI agents that connect to internal systems, customer data or business workflows — typically security, platform and AI engineering teams rolling out copilots, autonomous assistants or multi-agent workflows.