Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Fortifying Your SaaS: A CISO's Guide to Secure Embedded Analytics

In the competitive SaaS landscape, differentiation is key. Product leaders are constantly searching for the next feature that will not only attract new customers but also increase the stickiness of their platform. Enter embedded analytics. The ability to provide users with interactive, real-time data visualizations directly within your application is no longer a luxury; it's an expectation. But as we rush to empower our customers with data, are we inadvertently opening a new front in the cybersecurity war? For every visually stunning dashboard, there's a potential attack vector waiting to be exploited. The question then becomes not if you should implement embedded analytics, but how you can do so without compromising your security posture. This guide will walk you through the critical security considerations, from data isolation to API security, ensuring your next product enhancement doesn't become your next data breach headline.

Secure Jira Cloud REST API Integrations: Beyond Atlassian Native Authentication

Jira Cloud APIs are widely used for automation and integrations across CI/CD, DevOps, reporting, and internal tools. Atlassian provides native REST API authentication using API tokens and OAuth. This works well for simple scripts and internal automation. However, modern organizations often require stronger controls when APIs are used by multiple services, integrations, and automated systems. As integrations grow, teams often need a more controlled authentication model than user-based tokens alone.

CISO Spotlight: Dimitris Georgiou on Building Security that Serves People First

Dimitris Georgiou has been a self-professed computer geek since the early 80s. At university, he studied the convergence of educational technology with computer science as part of his psychology MA – finding, to his disbelief, that systems were perilously insecure. Since then, he’s always worked in and around cybersecurity.

Everyone Is Deploying AI Agents. Almost Nobody Knows What They're Doing.

One constant I hear from CISOs I speak with is that AI agents are not coming. They are already inside organizations, reasoning through goals, selecting tools, and taking action through the same APIs that connect your most sensitive systems. And most security teams have no idea what those agents are doing.

APIs Are Critical Infrastructure. Why Aren't We Treating Them That Way?

‍In this session, we take an in-depth look at what it truly means to treat APIs as critical infrastructure. Using industry data and real-world examples, we explore the gap between how much businesses rely on APIs and how well they are actually protected. And we talk about why that gap introduces operational and regulatory risks.

AppSec in the age of AI: An RSA Conference preview

Application security is at a breaking point as development teams move faster than ever, aided by AI-powered coding assistants. While these tools boost productivity, they also introduce subtle errors and insecure patterns at scale. The result: a growing backlog of vulnerabilities that outpaces traditional AppSec models. This webcast examines the risks and opportunities of AI in AppSec and who will be addressing it at RSA Conference. We’ll explore how defenders can use AI to level the playing field with automated scanning, intelligent prioritization, and secure-by-design practices.

An AI Agent Didn't Hack McKinsey. Its Exposed APIs Did.

This week’s McKinsey incident should be a wake-up call for every enterprise moving fast to deploy AI. Not because AI itself is inherently insecure. But because too many organizations are still thinking about AI security at the model layer, while the real enterprise risk sits in the action layer: the APIs, MCP servers, internal services, and shadow integrations that AI agents can reach, invoke, and manipulate. That is the part most companies still do not see.

The Hidden Security Risks Living Inside Your APIs

Most organisations spend serious money on firewalls, endpoint protection, and threat monitoring. Yet one of the most commonly exploited attack surfaces gets far less attention: the APIs quietly running underneath almost every modern application. APIs are the connective tissue of today's digital infrastructure. They allow apps to talk to each other, enable third-party integrations, and power the real-time data exchanges that businesses depend on daily. They are also a favourite target for attackers who know that many organisations have not secured them properly.

The CISO's Dilemma: How To Scale AI Securely

Your board wants AI. Your developers are building with it. Your budget committee is asking for an ROI timeline. But as CISO, you're the one who has to answer when the inevitable question comes up: "How do we know this is secure?" If you're like most security leaders, you're caught between two impossible positions. Say yes to AI initiatives without proper security controls, and you're responsible when something goes wrong.

The Economic Argument: The Real Cost of Insecure APIs in the AI Era

When cybersecurity teams talk about risk, they usually speak in technical terms like vulnerabilities, exploits, and attack vectors. But when they walk into the boardroom, they need to speak a different language. They need to speak about cost. In the era of AI, the cost of insecure APIs has shifted from a potential liability to a tangible line item on the balance sheet. It is no longer just about the cost of a data breach.