Bytes - Smarter together
Bytes - Smarter together

Agentic AI and the New Attack Surface: A Security Leader's Guide to Secure Adoption and Scale

Wednesday 2nd September 2026

AI agents are rapidly becoming the most productive members of the workforce.

They don't take holidays. They don't complain about meetings. And they can analyse data, automate workflows, write content and interact with business systems at a speed humans simply can't match.

Unfortunately, attackers have noticed too.

While organisations race to deploy AI, cyber criminals are using the same technology to accelerate attacks, automate exploitation and scale social engineering campaigns faster than ever before.

The urgency is clear. According to the World Economic Forum's 2026 Global Cybersecurity Outlook, 94% of cyber leaders believe AI will be the most significant driver of cybersecurity change, while 87% identify AI-related vulnerabilities as the fastest-growing cyber risk.

The question for security leaders is no longer:

"Should we adopt AI?"

It's:

"Can we secure and govern it before it becomes our next security incident?"

AI Has Officially Joined the Attack Team

According to the Check Point AI Security Report 2026, AI is no longer just assisting cyber attacks. It's actively participating in them.

Researchers observed AI being used to:

  • Accelerate vulnerability discovery and exploitation
  • Support malware development
  • Automate reconnaissance activities
  • Assist credential theft campaigns
  • Scale social engineering attacks

In other words, attackers have gained a highly capable digital workforce.

The challenge is that many organisations are still figuring out how to govern their own

Why Agentic AI Changes the Security Equation

Gartner's 2026 research captures the challenge perfectly: only 17% of organisations have deployed AI agents today, yet more than 60% expect to do so within the next two years, despite governance and security capabilities still maturing.

Traditional software waits for instructions.

AI agents don't.

They can access data, connect to applications, make decisions and trigger actions with minimal human involvement.

That creates a new set of security challenges:

Shadow AI

The visibility problem is already significant. Gartner found that 57% of employees use personal GenAI accounts for work, while 33% admit entering sensitive information into unapproved tools, creating substantial governance and data protection risks.

Employees are increasingly adopting AI tools without formal oversight. If you don't know where AI is being used, you can't manage the risk.

Data Exposure

As AI gains access to more business data, organisations face growing risks around sensitive information, intellectual property and regulatory compliance.

AI-Specific Threats

Prompt injection, agent manipulation and AI supply chain attacks are creating security risks that traditional controls were never designed to address.

Simply put:

AI doesn't just expand productivity. It expands the attack surface.

Four Questions Every Security Leader Should Be Asking

1. Where Is AI Being Used Across the Business?

If visibility is limited, governance is impossible.

2. What Data Can AI Access?

Understanding permissions, sensitive data exposure and third-party integrations is critical.

3. Are Our Security Controls AI-Ready?

Most security frameworks were designed for people, not autonomous digital workers.

4. Can We Demonstrate AI Governance to the Board?

Innovation is important. So is proving that risks are understood, monitored and managed.

The Organisations That Win, Will Govern First

The most successful organisations aren't slowing AI adoption. They're securing it.

A practical approach starts with four steps:

1.       Discover AI tools, agents and Shadow AI activity.

2.       Govern through policies, ownership and accountability.

3.       Protect data, identities and AI interactions.

4.       Scale innovation with confidence and control.

Because the goal isn't to stop AI.

The goal is to stop AI becoming tomorrow's breach headline.

Next Step: Find Your AI Blind Spots Before Attackers Do.

Most organisations already have AI tools, agents and automated workflows operating across the business. The challenge is understanding where the security and governance risks exist.

Do you know where your AI risks are hiding?

Bytes, together with Check Point and AWS, can help you answer that through a comprehensive AI Security Assessment. The assessment helps organisations evaluate AI security, governance and operational readiness, providing clear recommendations to support secure AI adoption.

The assessment enables security leaders to:

  • Discover AI usage across the organisation
  • Identify Shadow AI and unmanaged applications
  • Assess AI-related data exposure risks
  • Evaluate governance and compliance readiness
  • Determine whether current security controls are prepared for agentic AI

As AI agents take on greater responsibility, organisations need confidence that every digital worker operates with the right access, controls and oversight.

Book your AI Security Assessment with Bytes, Check Point and AWS today to gain a clear understanding of your AI exposure, governance gaps and security priorities before attackers find them for you.

Sources:

Want to keep informed? Sign up to our Newsletter

Connect