For decades, insider threats have been one of the most difficult cybersecurity problems to solve. Organizations traditionally focused on malicious employees, compromised accounts, or accidental data leaks caused by human error. But in 2026, a new type of insider threat is emerging inside enterprises: Artificial intelligence systems with privileged access. Modern AI agents are being…
Artificial intelligence is rapidly evolving from a passive assistant into an autonomous operator. Modern AI systems are no longer limited to answering questions or generating text. They can now browse websites, access APIs, execute workflows, interact with cloud platforms, send emails, write code, and make decisions with minimal human involvement. This next generation of systems…
For years, security teams fought against Shadow IT — unauthorized applications, cloud platforms, and devices operating outside official governance. But in 2026, a far more dangerous problem has emerged: Shadow AI. Employees across every department are rapidly adopting AI tools without security review, governance, or oversight. From browser-based copilots and autonomous AI agents to document…
Artificial intelligence is no longer just interacting with humans — it is starting to interact with itself. A new wave of tools and experiments, including projects like OpenClaw, are exploring what happens when autonomous agents are given access to online communities such as Discord, forums, and collaborative platforms to exchange ideas, solve problems, and coordinate…
Artificial intelligence is no longer just a productivity tool. It is now part of enterprise infrastructure — connected to email systems, cloud environments, code repositories, CI/CD pipelines, databases, customer support systems, and internal knowledge bases. That shift has created a completely new cybersecurity attack surface. In 2026, the biggest AI security concern is not simply…
Introduction One of the most dangerous capabilities of modern AI systems is their ability to translate text into action. Agentic AI doesn’t just interpret instructions—it can execute them through: This creates a high-impact risk identified in the OWASP Top 10 for Agentic Applications (2026): Prompt Injection leading to Code Execution This is where a simple…
Introduction Modern AI systems don’t operate alone—they rely heavily on external tools. From APIs and plugins to third-party data sources, agentic AI systems are deeply connected to a broader ecosystem. These integrations enable powerful automation, but they also introduce a critical and often overlooked risk: AI Supply Chain Attacks Identified in the OWASP Top 10…
Introduction As organizations integrate AI into core systems, a dangerous pattern is emerging: AI agents are being given too much access. From admin-level API keys to unrestricted database permissions, many AI systems operate with privileges far beyond what they actually need. This creates one of the most critical risks identified in the OWASP Top 10…
Introduction Modern AI systems are no longer passive. They don’t just generate answers—they take action. From sending emails and querying databases to triggering workflows and calling APIs, today’s agentic AI systems operate with real-world capabilities. But this introduces a critical risk identified in the OWASP Top 10 for Agentic Applications (2026): Tool Misuse Unlike traditional…
Introduction Artificial intelligence is no longer limited to generating responses—it is now capable of making decisions and executing actions. These systems, known as agentic AI, are rapidly being integrated into business workflows, security operations, and customer-facing platforms. But with this evolution comes a new class of risk. One of the most critical threats identified in…
