Cybersecurity trends: what deserves your attention

Security trends are useful when they change a decision. This is a practical view of evolving risks, not a live threat-intelligence feed or a forecast of which attack will reach your organization next.

AI-assisted deception makes appearance a weak signal

Well-written messages, cloned voices and convincing images are not reliable proof of identity. The important control is how sensitive requests are verified, especially changes to payments, credentials and access.

Require an independent verification channel for high-risk requests, using contact details already on record rather than those in the message. Favor phishing-resistant authentication such as appropriately deployed FIDO2 security keys or passkeys. Treat unexpected MFA prompts as something to investigate, not approve.

Non-human identities need owners, too

Service accounts, deployment credentials and OAuth applications can hold extensive access without belonging to a person who regularly signs in. Password policy for employees does not solve that exposure.

Inventory machine identities and app grants alongside human accounts. Assign an owner, record purpose and scope, and define an expiry or review date. Prefer short-lived, workload-bound credentials where supported. Test rotation and recovery before changing a critical production secret.

AI assistants introduce another permission boundary

An assistant connected to documents, mail or business tools can act on content it reads. Untrusted documents may contain instructions that try to redirect it; this is a prompt-injection risk, not simply a problem solved by asking the model to be careful.

• Keep permissions narrow. Give tools only the data and actions required for their job.
• Separate reading from acting. Require explicit approval for sending data externally, changing access or making destructive changes.
• Treat retrieved content as data. Do not let a document redefine access policy or authorize an action.
• Keep an audit trail. Record tool calls and approvals without copying secrets into logs.

Turn trends into a short work list

Pick an owner for each gap: verify high-risk requests, audit app grants, test short-lived credentials and review AI-tool permissions. Measure completion and whether the controls work in a rehearsal. Buying another dashboard is not the same as reducing exposure.

For BlackPing, the enduring principle is the same across new and familiar threats: read the evidence, explain the decision and keep consequential containment under human approval.

Further reading

Use CISA's phishing-resistant MFA guidance (cisa.gov), the OWASP Top 10 for Large Language Model Applications (genai.owasp.org), and NIST's AI Risk Management Framework (nist.gov) as starting points. Check the latest editions when planning changes.