Agentic AI Security That Blocks Rogue Actions & Model Exploits

Agentic AI Security that prevents unauthorized access, data breaches, and runaway costs. Full visibility across every agent action.

agentic ai hero

Trusted By 100’s Of Security Teams Globally

⚠️ The Hidden Cost of Unprotected AI Agents

Stop Your AI Agents From Going Rogue

Without proper governance, AI agents become your biggest security liability.
Here's what companies face every day.

scenario 1
Scenario #1

Runaway Agent Costs Destroy Your Budget

A developer deploys an agent with recursive logic. It starts calling expensive LLM APIs in an infinite loop. By the time someone notices, you've burned through $180,000 in 72 hours.

  • No per-agent budget controls or rate limits
  • No visibility into which agents are spending what
  • No automatic circuit breakers to stop runaway costs
Scenario #2

Agent Exfiltrates Customer Database

An AI customer support agent is compromised via prompt injection. It extracts your entire customer database and posts it to an external API. 4.2 million records exposed before you even know what happened.

  • No egress filtering or destination allowlists
  • No PII detection or data loss prevention
  • No real-time monitoring of agent data access
scenario 2
The AccuKnox Solution

Complete Protection, Deployed Fast

Stop agent threats before they cost you millions. Deploy enterprise-grade security without slowing down your AI operations.

Stop Runaway Costs

Stop Runaway Costs

Set daily budgets and rate limits for each agent. Automatic circuit breakers prevent expensive recursive loops before they drain your budget.

  • Per-agent budget controls with real-time tracking
  • Automatic throttling when limits are approached
  • Cost attribution by team, project, and agent

Average
Savings

87%

Block Data Breaches

Block Data Breaches

Egress filtering, PII detection, and destination allowlists ensure sensitive data never leaves your control. Block exfiltration attempts in real-time.

  • Automatic PII and credential scanning
  • Destination allowlists with geographic restrictions
  • Data residency enforcement and compliance

Breaches
Prevented

2,847

Prevent Privilege Escalation

Prevent Privilege Escalation

Runtime boundaries and approval workflows stop agents from coercing others into high-risk actions. Every operation validated against RBAC policies.

  • Operation ceilings and parameter validation
  • Mandatory approval for high-risk actions
  • Agent identity inheritance from user context

Risk
Reduction

99.7%

ClawArmor

ClawArmor - Secure OpenClaw instances With KubeArmor's Kernel-Level Sandboxing for AI Security

ClawArmor wraps your OpenClaw deployment in a hardend container and enforces filesystem, process, and network policy at the Linux kernel level using KubeArmor and eBPF. The agent can only do what your policy explicity permits. Everything else is denied and logged.

Read Blog

AI Agent Security Across Multi-Cloud Platforms

Real-time visibility, sandboxing, and auditing for AI agents across Azure AI Foundry, Copilot Studio, and AWS Bedrock.

Multi-Cloud Agent Visibility

Multi-Cloud Agent Visibility & Auditing

Continuous discovery, behavioral auditing, and risk monitoring of AI agents across cloud environments.

Sandbox Unsafe Tool Usage

Sandbox Unsafe Tool Usage

Prevents agents from executing risky external tools, APIs, and actions in runtime workflows.

Sandbox Auto-Generated Code

Sandbox Auto-Generated Code

Isolates LLM-generated scripts and code execution to prevent malicious runtime behavior.

Multi-Platform Support

Multi-Platform Support

Industry-first agent discovery and governance across major cloud platforms.

Agentic Security in Action

This view surfaces policy-level violations across AI agents, highlighting the most frequently breached controls and the applications driving those voilations. The majority of failures are high and critical in severity, indicating policy enforcement gaps around token limits, code execution, and harmful response handling.

agentic ai security

Deploy in Minutes, Not Months

No complex integrations. No code changes. No architectural rewrites. AccuKnox works with your existing AI infrastructure out of the box.

1

Connect Your Agents

2

Set Your Policies

3

Start Blocking Threats

Deploy in Minutes, Not Months

Unified, Secure, and Flexible Al Deployment

Deploy your Al workloads anywhere-from on-prem to multi-cloud-with enhanced security, seamless orchestration via MCP, and support for the widest ecosystem of Al/ML platforms.

monitor-and-protect-ai
LLM Prompt Firewalls
Prompt Firewall

Prompt Injection Defense & Response Filtering

  • Prompt Policy Enforcement
    Blocks prompt injections, abusive queries, and policy violations before reaching the LLM. Prevents SQLi exploits and malicious prompt storage.
  • Data Loss Prevention
    Scans LLM responses for PII, API keys, credentials, and internal codenames to prevent data exfiltration and leaks.
  • Code Security Auditing
    Audits AI-generated code for hardcoded secrets, dangerous functions, and vulnerabilities before execution.
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MCP Security

Identity-First MCP Protection

  • Endpoint Allowlisting & mTLS
    Registry of approved MCP servers with mutual TLS encryption. Automatically rejects rogue endpoints and unauthorized API access.
  • Request-Level Validation
    Policy engine evaluates agent identity, operation sensitivity, and threat posture for every MCP request before execution.
  • Dynamic Privilege Control
    Agents inherit RBAC/ABAC permissions from the user they represent. Prevents multi-tenant breaches and privilege escalation.
Read Blog
MCP Security

6 Critical Challenges, 6 Proven Solutions

Click "Solve with AccuKnox" to see how each challenge is addressed

1

Runaway Agent Costs & Budget Overruns

Per-Agent Budgets & Rate Limits

Cost Control

Recursive agents trigger expensive API calls without budgets, causing runaway costs.

Daily budgets, quotas, and RPS limits cap spend and surface expensive behaviors.

challenges1 solution1
Solve with AccuKnox
2

Privilege Escalation in Agent Chains

High-Risk Payment Authorization

Cost Control

Agents can coerce others into performing higher-privilege actions due to missing runtime boundaries.

Enforces ceilings, validates parameters, and requires approvals—blocking unauthorized transfers.

challenges2 solution2
Solve with AccuKnox
3

Excessive Approval Requests

Egress Allowlists & Data Residency

Compliance

High-risk workflows spam reviewers due to lack of prioritization or risk-based thresholds.

Blocks off-region or unknown domains; enforces destination policies with full telemetry.

challenges3 solution3
Solve with AccuKnox
4

Parameter Injection Vulnerabilities

EHR Access Control with PII Redaction

Healthcare

User text flows directly into tools enabling prompt injection and system-level misuse.

Restricts records by purpose-of-care and redacts identifiers before data leaves the system.

challenges4 solution4
Solve with AccuKnox
5

Incomplete Shadow Mode Adoption

Sensitive Channel Governance

Support Ops

Teams never convert "would-block" findings into enforcement, leaving vulnerabilities unaddressed.

Limits Slack posting to allowed channels/hours and sanitizes PII before delivery.

challenges5 solution5
Solve with AccuKnox
6

Unauthorized Data Exfiltration

Controlled CI/CD & Production Deployments

DevOps

Agents can send sensitive data to arbitrary destinations without restriction.

Allows staging-only deploys; requires approval for production; validates parameters.

challenges6 solution6
Solve with AccuKnox

Why You Need AccuKnox Agentic AI Security

Identity-first security with runtime enforcement, ephemeral credentials, and real-time MCP validation

Capabilitysite-logoLegacy IAMService MeshAgent Framework
Per-agent runtime enforcementtickcrossLimitedcross
Parameter-level policytickcrosscrosscross
Human approvalstickcrosscrossLimited
DLP & redactiontickcrosscrosscross
Per-agent budgets & rate limitstickcrosscrosscross
Multi-tenant audit logstickcrossLimitedcross
Egress control with identitytickcrossLimitedcross

Real Companies, Real Results

See how enterprise teams stopped agent threats and improved their security posture

key benefits
fortune 500 bank

Prevented Major Data Breach in First Week

A tier-1 bank deployed AI agents to handle customer support inquiries. Within days, AccuKnox detected an agent attempting to access the production customer database without authorization—blocked before any data could be exfiltrated.

  • Challenge
    Multiple agents with database access, no governance layer
  • Solution
    Deployed AccuKnox with RBAC policies quickly
  • Outcome
    Blocked unauthorized access attempt, prevented data breach

Calculate Your Security Savings

See how much you save by eliminating excessive permissions and agentic AI security risks

Number of AI Agents

10 500

Monthly Agentic AI Security Cost

10 200

Annual Security Savings

By reducing agentic AI security risks by 85%

* Savings from preventing excessive permissions, unauthorized access, and runaway agent costs

Agentic AI Security FAQs

AccuKnox discovers the full inventory of internally developed agents, models, and pipelines across environments. It maps agent capabilities, data access, and tool integrations, then applies policy-as-code governance across the build, deploy, and runtime lifecycle with continuous behavioral monitoring.
AccuKnox enforces prompt firewall rules across 12+ categories globally across all models and agents, with customization for business-specific guardrails. Policy engines validate actions before execution at the prompt, model, API, and runtime layers with continuous red teaming for evolving behaviors.
AccuKnox uses a sandboxing approach to understand agent application behavior at runtime. It analyzes behavioral patterns to infer intent, evaluates effective versus required permissions to identify overreach, and enforces least privilege with just-in-time access controls for NHIs.
AccuKnox detects PII, API keys, credentials, and other sensitive data in both prompts and model responses using pattern matching combined with contextual classification. It supports configurable actions including monitor, alert, or block, covering data in transit and generated outputs.
AccuKnox tackles adversarial attacks through AI-SPM with runtime monitoring and behavioral analysis designed specifically for LLM threat patterns. Automated red teaming runs continuous adversarial simulations to test model defenses and adapt security postures in real time.
AccuKnox features a Prompt Firewall for LLMs that guards against injection attacks and enforces safe, auditable prompt interactions. It applies configurable policies across all connected models and agents, blocking injection attempts before they reach model inference.
AccuKnox integrates with GitHub Actions and other CI/CD pipeline tools, enabling security scanning throughout AI development lifecycles. DevSecOps teams get LLM security embedded into existing workflows without disrupting model deployment velocity.
AccuKnox recommends assessing vendor data handling practices, model behavior, and access controls, requiring transparency through AIBOM, audit logs, and compliance mappings against EU AI Act and ISO 42001. Continuous runtime monitoring of third-party access post-deployment is essential.
AccuKnox performs continuous AI asset discovery across endpoints, browsers, SaaS, and cloud environments. It detects shadow AI usage by analyzing outbound traffic, API calls, and browser interactions, correlating usage with user identity and data access patterns to assess risk.
AccuKnox identifies embedded AI capabilities within SaaS platforms including copilots, plugins, and third-party integrations. It analyzes application behavior, API calls, and data flows to uncover hidden AI usage, then flags unauthorized integrations based on governance policies.
AccuKnox provides ModelArmor as an open-source solution that securely isolates AI and ML workloads with sandboxing built on KubeArmor technology. Organizations avoid vendor lock-in while leveraging community-driven AI security innovations customizable for specific deployment needs.
AccuKnox's agentless AI-SPM provides comprehensive risk assessment through API integrations without installing software on AI infrastructure. It maintains inference performance while ensuring security posture visibility, eliminating the attack surface and overhead that agent-based approaches introduce.
AccuKnox's Zero Trust AI Security framework ensures continuous verification and policy enforcement across the entire AI lifecycle within its integrated CNAPP architecture. Every agent, model, and API interaction is verified rather than assumed trusted, regardless of where it runs.

Ready For A Personalized Security Assessment?

“Choosing AccuKnox was driven by opensource KubeArmor’s novel use of eBPF and LSM technologies, delivering runtime security”

idt

Golan Ben-Oni

Chief Information Officer

“At Prudent, we advocate for a comprehensive end-to-end methodology in application and cloud security. AccuKnox excelled in all areas in our in depth evaluation.”

prudent

Manoj Kern

CIO

“Tible is committed to delivering comprehensive security, compliance, and governance for all of its stakeholders.”

tible

Merijn Boom

Managing Director