Security teams need to prepare for agentic attack paths
AI-enabled attackers can compress reconnaissance and exploit development, making basic control gaps and slow remediation more costly.
Identity, risk, security operations, resilience and governance. Practical guidance for evaluation, implementation, governance and day-to-day operation.
AI-enabled attackers can compress reconnaissance and exploit development, making basic control gaps and slow remediation more costly.
Read the lead insightAI-enabled attackers can compress reconnaissance and exploit development, making basic control gaps and slow remediation more costly.
Agent security products should be tested against identity, tool access, prompt injection, data leakage, unsafe actions and monitoring gaps.
Agents need identities, permissions and lifecycle controls that are distinct from both human users and traditional service accounts.
Shadow AI is no longer only unsanctioned chat use. It includes hidden agents, embedded model features and tools acting through approved applications.
A compact threat-model checklist for agents that read enterprise data, call tools or change records.
A qualitative maturity model for agent discovery, testing, authorization, monitoring and incident response.
Decisions about identity security improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about identity security improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about identity security improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about application security improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about vulnerability management improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about zero trust programmes improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about third-party cyber risk improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about third-party cyber risk improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about application security improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about application security improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about application security improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about application security improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about application security improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about attack surface management improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about attack surface management improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about attack surface management improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about attack surface management improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
Decisions about attack surface management improve when cybersecurity leaders define the work, ownership, evidence and exceptions before selecting or expanding technology.
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