AI Risk and Autonomous Agents: Why Access Controls Matter – NEW PODCAST

Estimated reading time: 5 minutes

Guardrails Or Chaos

An AI-generated email once caused a real-world mix-up for your host, Martin Hinton. I arrived at the airport expecting a 9 p.m. rebooking, but the airline’s app listed 5 p.m. instead. The airline blamed the confusion on an AI-generated message with the wrong flight information, making the idea of a ‘non-human identity’ feel much more personal.

This story introduces the latest episode of the Cyber Insurance News and Information Podcast, featuring Chris Kelly, President of Delinea, a company that protects both human and machine identities. Hinton and Kelly keep the conversation practical. They focus on insurance, and add some humor, while emphasizing that identity is now the main security control point.

The Big Headline: Identity Runs The Show

Kelly states his main point clearly: “identity [is] the control plane.” He explains that AI increases identity risk for both defenders and attackers. He suggests that security teams should use the current period of careful adoption to address risks before AI activity becomes too fast to keep up with.

Meet Delinea: “We Secure Every Identity”

Delinea’s message is direct: “We secure every identity, both human and machine,” and they include time-limited access and auditing. Kelly points out that there are now far more machine identities than human ones, which increases both insurance challenges and operational risks.

Cloud Native, Not Cloud-ish

Kelly emphasizes that security starts with good architecture. He compares ‘cloud native’ systems to older setups that use virtual machines. He highlights their ‘four and a half nines’ availability, which means downtime drops from minutes each week to just minutes per year.

AI In Cybersecurity vs. Security For AI

The episode clearly separates using AI to improve security tasks, like analyzing large numbers of session recordings, from the challenge of securing AI agents that use real credentials. Kelly explains that AI can quickly find important details. But autonomous agents also create new identity risks that need strong controls.

Deepfakes Get Headlines; Agents Do Damage

Kelly acknowledges that deepfakes are attention-grabbing, but he is more concerned about AI agents with real credentials. These agents can act at machine speed and perform thousands of actions before anyone realizes what’s happening.

SMBs, MSPs, And The Underwriter’s Short List

For smaller companies, Kelly suggests that working with MSPs is a practical way to share expertise. On the insurance side, he lists three controls that cover about 80% of what underwriters look for: storing credentials securely, enforcing multi-factor authentication for privileged access, and recording sessions.

Lightning Round: One Question That Moves Money

Kelly’s top question for executives is straightforward: “Who has access to this?” He also criticizes annual access reviews, saying they are just a comforting routine that comes too late to prevent problems.

Also Get It Here

The transcript has been checked for accuracy, but confirm elements against the recording. Trust, but verify.

Episode Transcript

Episode FAQ: Chris Kelly (Delinea) On AI Risk, Identity, And Resilience

Who’s the guest, and why does he matter right now?

Chris Kelly is the President of Delinea. He frames today’s AI risk as an identity problem that hits both humans and machines.

Why does AI risk turn into identity risk so fast?

He argues AI systems operate through identities and credentials, so attackers win when they steal or misuse access. He calls lost or stolen credentials the top breach driver and warns about “a legitimate service account with admin rights” that nobody reviewed in 18 months.

What does Delinea actually do?

Kelly’s tagline: “we secure every identity, both human and machine.” He emphasizes right-sized access, time limits, auditing, and removing access when it’s no longer needed.

What’s “non-human identity sprawl,” in plain language?

He says machine identities can outnumber humans dramatically and grow faster than teams can track. He also points to shadow IT and “agentic work” as accelerants.

Do organizations actually know where all their identities are?

Kelly doesn’t hedge: “I have never ever, ever heard anyone say they know where all their identities are in their environment.”

Why does he push “cloud native” so hard?

He argues cloud-native architecture improves resiliency and speeds delivery without taking systems down for maintenance, enabling rapid innovation.

What’s the best real-world “AI went sideways” example in the episode

Martin recounts an airline email he says the company later described as “AI generated,” which incorrectly rebooked his flight and triggered a scramble. Kelly calls it “terrible for you, but great as an example.”

What’s the SMB playbook, especially if you can’t hire a full security team?

He points SMBs toward managed service providers (MSPs) for pooled expertise and 24/7 coverage they can’t staff on their own.

What’s his practical countermeasure to AI-driven identity abuse?

He pushes continuous verification: don’t just check login—check every action, compare behavior to role, and “block in milliseconds” when it doesn’t match.

Which controls does he say matter most for cyber insurance?

Kelly says three controls cover “kind of 80%” of what underwriters measure: vault credentials, enforce MFA on privileged access, and record sessions.

What’s the cyber-insurance consequence of “we’ll do it later”?

He shares a premium shock story: a company’s policy went from roughly $150K–$300K to $1M after a breach, then to $2–$2.5M after a second breach, and it never returned to baseline even after fixes.


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