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Palantir’s access to identifiable NHS England patient data is β€˜dangerous’, MPs say

Health service has given US tech firm β€˜unlimited access’ to certain data to build integrated platform, according to reports

MPs have warned that an NHS decision to grant Palantir access to identifiable patient information in its plan to use AI to improve the health service is β€œdangerous” and will fuel public fears that data privacy is not being prioritised.

NHS England has allowed staff from the US tech firm and other contractors to access patient data before it has been pseudonymised, despite internal fears of a β€œrisk of loss of public confidence”, the Financial Times reported.

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Β© Photograph: David Levene/The Guardian

Β© Photograph: David Levene/The Guardian

Β© Photograph: David Levene/The Guardian

Q1 2026 Ransomware Report: Fewer Groups, Higher Impact

11 May 2026 at 12:00

Ransomware activity remained elevated in Q1 2026, continuing the trendΒ establishedΒ over the past year. According to the State of Ransomware Q1 2026 report from Check Point Research, overall attack volume stayed near historic highs. At the same time, the structure of the ransomware ecosystem changed materially. After two years of increasing fragmentation, activity isΒ consolidatingΒ around a smaller number of dominant groups. For organizations, this shift reduces the number of active actors but increases the potential impact of individual incidents. Β Key Findings: 2,122 organizations were listed on ransomware data leak sites in Q1 2026, making it the second-highest Q1 on record The top […]

The post Q1 2026 Ransomware Report: Fewer Groups, Higher Impact appeared first on Check Point Blog.

Why AI Agents Make API Security a CISO Priority

10 May 2026 at 13:13

AI agents are not a future concern. They are already changing how enterprise systems are accessed, automated, and abused.

And the security implication is clear: the more autonomous systems rely on APIs, the more important it becomes to know exactly which APIs exist, how they are being used, and whether they are being misused.

If your organization cannot answer those questions, you have a visibility problem. And in an environment where AI can accelerate both legitimate automation and malicious abuse, visibility is the first step to control.

Risk accelerating

APIs have always been a target because they expose data and business logic. What has changed is pace.

AI can now help attackers discover endpoints faster, test more abuse paths, and automate attacks that once took much more effort. Meanwhile, AI agents inside the enterprise are generating more API traffic, often with broader privileges than anyone intended.

That means security teams are facing a harder problem: not just more traffic, but more uncertainty and adversaries with improved tools.

What CISOs should be worried about

The biggest risks are not always the loudest ones.

Whether it’s an over-permissioned agent, a forgotten or shadow API, or a β€œlegitimate” request abused to enumerate data or chain unauthorized actions, the risk is real. It’s often compounded by API tokens with broad access and long expiration times.

These are the kinds of issues that can lead to evasive data exfiltration, unauthorized payments, compliance violations, and operational surprises that go undetected far too long.

If your API security program cannot spot abnormal behavior early, the business is exposed.


What good looks like

CISOs need a practical model, not more noise.

That model should:

  • Continuously discover APIs across the environment.
  • Classify which ones are sensitive.
  • Establish baselines for normal behavior.
  • Detect abnormal or suspicious API activity.
  • Support least-privilege access for AI agents.
  • Help revoke risky permissions quickly.

This is how security leaders turn AI agent activity from a blind spot into something measurable and governable.

The board conversation has changed

This is no longer just a technical issue for engineering or operations.

Boards care about risk, control, and business impact. They need to know how many AI agent-facing APIs are being monitored, how many anomalous calls have been detected, and how quickly the business can respond when something looks wrong.

That is the real opportunity for CISOs: to move API security into the center of the AI risk conversation.

Download the guide now

For CISOs, security leaders, and executives, this guide explains the new API security realities emerging with AI agents. We created A CISO’s Guide to API Security in the Age of AI Agents to help you navigate the shift with clarity and confidence.

Inside, you will learn:

  • Why AI agents are increasing API risk rather than replacing it.
  • How to connect API security to business and board-level concerns.
  • What to look for in a practical CISO playbook for discovery, visibility, and control.
  • How to govern agent-driven access before it becomes business exposure.

AI agents may change how work gets done. But the organizations that understand their APIs first will be the ones best positioned to stay in control.

Download the CISO guide now

The post Why AI Agents Make API Security a CISO Priority appeared first on Blog.

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