$4.99M
global average breach cost
IBM Cost of a Data Breach Report 2026 reports a record global average breach cost and highlights rising AI-driven attack pressure.
IBM Cost of a Data Breach Report 2026Research
Public security research behind AI agent controls
This page connects public security research to practical AI agent controls. The numbers below come from third-party reports, not from AgentGate testing or customer data.
56%
increase in AI-driven attacks
IBM frames AI-driven attacks as a major driver of new security spending and governance requirements.
IBM Cost of a Data Breach Report 202631%
breaches starting with software vulnerabilities
Verizon DBIR 2026 reports software vulnerabilities as a leading breach entry point, relevant to agents that can run code and touch production systems.
Verizon DBIR 2026LLM01
prompt injection is a top LLM risk
OWASP identifies prompt injection as a major LLM application risk that can lead to unauthorized access, data exposure and compromised decisions.
OWASP Top 10 for LLM ApplicationsWhat these benchmarks mean for agentic systems
AI risk is now an operating risk
AI agents are no longer isolated assistants. Once connected to MCP tools, they can read, write, deploy, spend and expose data through the same systems engineers use.
Prompt injection maps directly to authorization
OWASP highlights prompt injection as a top LLM application risk. For agentic systems, the practical question is whether a manipulated instruction can reach a real tool.
Breach economics justify preventive controls
When public breach-cost benchmarks are measured in millions, even one prevented high-impact tool call can justify runtime authorization and approval workflows.
IAM needs agent-aware context
Credentials and software vulnerabilities remain major security themes. AgentGate adds the missing runtime context: agent, tool, arguments, policy, risk and approval.
Methodology
Each figure is quoted as published in the linked primary report. We do not re-weight, combine or extrapolate them, and they describe the wider security landscape rather than AI agent incidents specifically. AgentGate has not published its own benchmark of agent attack rates or product performance. If we do, it will ship with the dataset, test harness and steps to reproduce it.