Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Enterprise Just Got Its First Population of Autonomous Actors

For the past two decades, enterprise security has evolved around a relatively stable assumption: software executes instructions, people take actions, and security teams are responsible for understanding and governing the interaction between the two. The technologies have changed. Infrastructure moved to the cloud. Applications became distributed. Identities expanded beyond employees to include partners, contractors, and machines. Yet the underlying model remained remarkably consistent.

Put agentic AI to work: Real-world defense against threats

Attackers are using AI to compress timelines from hours to minutes. Most SOCs, and most security platforms, weren’t built for that speed. Join Elastic Security product and research experts for a look at how modern security teams can detect, investigate, and respond faster using agentic AI. You’ll learn how to: You’ll leave better equipped to reduce investigation time, keep analysts focused on decision-making, and modernize security operations for machine-speed threats without removing humans from the loop.

GenAI fraud detection in academia vs industry

Academic fraud datasets often lack real-world grounding and miss insights that you can only glean from defending against ongoing adversarial attacks. Just ask Zhaofeng Si, a PhD student in computer science at the University at Buffalo who studies the detection of AI-generated synthetic images. Three weeks ago, he joined Persona for a 12-week internship. Now, he’s working alongside Persona’s research scientists to build a benchmark for selfie fraud.

AI Agent Security Explained: Agents, MCP, Prompt Injection, and the AI Harness

AI Agent Security is quickly becoming one of the most important areas in cybersecurity. Terms like "agent," "harness," "MCP," "tool calls," "tool responses," "instruction hijacking," "indirect prompt injection," "prompt exfiltration," and "tool misuse" are appearing in conference talks, vendor announcements, podcasts, and industry discussions, often without clear explanations.

AI Export Controls and the Risk of Slowing Down Defense

The Trump administration has ordered Anthropic to restrict access to its most advanced AI models, Fable 5 and Mythos 5, citing national security concerns. Officials raised the possibility that these systems could be used by foreign actors to identify software vulnerabilities or support cyber attacks.

Best AI Agent Development Companies for Cybersecurity in 2026

Cybersecurity teams continue to face challenges and all sorts of pressure. The volume of cyberattacks is increasing, while they have limited resources to investigate alerts, monitor systems, and respond to incidents. AI agents are receiving a great deal of interest due to their ability to automate repetitive security tasks, speed up threat identification, and support incident response 24/7.

Top 7 AI Workspace Security Solutions for Remote Teams in 2026

Remote work has permanently changed how organizations operate. Teams collaborate across time zones, connect through SaaS platforms, and rely on cloud-based workflows to maintain productivity. At the same time, artificial intelligence has become embedded throughout modern work environments. Employees use AI copilots to draft content, summarize meetings, write code, analyze data, and automate repetitive tasks.

Heimdal Survey: Executives Four Times More Confident About AI Risk Than the Teams Managing It

New research from cybersecurity company Heimdal finds 29% of US executives say AI risk is under control, against 7% of the practitioners running it day-to-day. Across 1,000 IT professionals in the UK and US, AI adoption has outpaced security controls by roughly two to one.
Featured Post

The AI Data Centre Buildout Has a Security Problem

In recent months, there has been plenty of speculation about whether the industry is in the middle of an "AI bubble," often fuelled by questions about whether massive infrastructure investments are matched by real demand. Yet current developments suggest this is not the case: the ecosystem around AI continues to expand at a pace that indicates longterm structural change rather than shortterm hype.

Zenity and Carahsoft Partner to Bring AI Agent Security to Government Agencies

The next government security challenge isn’t AI models, it’s AI agents. Zenity and Carahsoft are helping agencies prepare. Across government agencies, AI agents are already interacting with sensitive data, mission-critical workflows, and public services. Yet most organizations still lack visibility into where these agents are deployed, what they can access, and how they behave once operational. The result is a growing governance gap between AI adoption and AI security.