Netwrix Innovation Week: AI attacks move faster than your SIEM can log them

AI shortens the time between a stolen credential and a compromised privileged account, and a detection loop built for human reviewers can’t respond at that pace. Teams can cut that exposure by moving credentials into an encrypted vault, limiting access by role, requiring approval before privileged access, and logging every credential action. Prevention closes the easiest path in, and the SIEM can then focus on what remains.

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Most incident response plans assume the defender has time. An alert fires, an analyst checks the logs, the team decides, and someone responds. Attackers using AI work faster than that sequence allows, so the plan needs a step that happens before the alert.

The slow part of detection is the decision

Logging is the fast part of the detection loop. Review and decision take longer, and teams built that loop when attackers still needed time. Reconnaissance took days and lateral movement took hours, which gave defenders room to work.

AI has taken most of that room away. With automated tooling, an attacker can map a directory, test stolen credentials against a dozen systems, and reach a privileged account while the first alert waits in a queue. Credential stuffing used to be loud brute force, and bots now adjust their speed and fingerprints in real time to resemble legitimate users.

Compromised identities are the common entry point

Attackers don’t need to break encryption or find a zero-day when a single working credential is available. Netwrix’s 2026 Data and Identity Security Report found that 75% of sensitive data exposures start with compromised identities or misconfigured permissions.

A recent attack on a critical infrastructure operator followed that path. The entry point was a remote access VPN account that was unused and never disabled, had no MFA, and carried a password that had already appeared in a leaked credential set. Operations stopped for days.

Passwords reused from old breaches, shared logins kept in spreadsheets, and privileged accounts known to 10 people because nobody wants to own rotation all create the same opening. AI finds weaknesses like these at scale, with no one typing passwords by hand.

MFA reduces the risk but doesn’t remove it. Attackers send repeated push requests until a user approves one to stop the notifications, and a control that depends on a tired person declining at the right moment leaves a thin margin.

Prevention takes the timing advantage away

Detection confirms that something happened after the fact. Prevention holds a sensitive step until someone approves it, removing the opening attackers rely on. Teams need both.

Standing, unmonitored access is where that advantage comes from. The same report found that 76% of organizations can’t immediately revoke standing access when it’s no longer needed.

How to reduce standing credential access

Passwords kept in browsers, shared documents, and direct messages can’t be governed because no one can see them all. A central, encrypted vault gives teams a single place to start.

Role-based access limits each person to the credentials their role requires, so a stolen credential can only do what its owner was allowed to do.

Domain admins, database owners, and service accounts warrant a human decision. A requester asks for access, a second person approves it, and only then does the credential become available. Regular password rotation then shortens the life of any leaked credential.

Logging every credential action connects prevention to detection. A denied privilege request at 2 a.m. appears as a meaningful event instead of one line among thousands of routine logins, which gives analysts fewer and better alerts.

AI agents and automations need credentials too, including API keys, service accounts, and tokens with real privileges. The report found that 41% of organizations already run agentic AI in production, while only 19% say they fully govern non-human identities. Agents don’t tire and don’t question instructions, so their credentials need at least the same treatment as a human admin’s: vaulted, scoped, and approved before privileged use. Teams planning agentic AI for the SOC should keep its keys in the same governed place as everyone else’s.

Common objections to this approach

Approval steps slow people down. For most users, nothing changes, because they never touch privileged accounts. The few who notice the extra step hold the most sensitive keys, and a short wait for approval costs less than a breach.

Teams that already have PAM should keep it if it covers privileged accounts end to end. If coverage is partial, the first task is to identify what’s uncovered. Either way, the tooling should work with Active Directory, Entra ID, or whichever directory the organization uses, so access governance follows the identities already in the directory.

How Netwrix Password Secure supports least-privilege access

Netwrix Password Secure supports each of these steps. Credentials are stored in a central, encrypted vault, and role-based access limits users to what they need. Approval workflows sit in front of privileged access, and a full audit trail shows who accessed what, and when. Active Directory and Entra ID integration ties access to existing identities. Teams can work from desktop, web, and mobile, and deploy on-premises, in the cloud, or in a hybrid setup to match their infrastructure and compliance needs.

AI-speed attacks succeed in the time between an event and someone noticing it. Take standing credentials out of reach first, and the SIEM catches what’s left.

See Password Secure in action