Zero Trust + AI: Privacy in the Age of Agentic AI

We used to think of privacy as a perimeter problem: about walls and locks, permissions, and policies. But in a world where artificial agents are becoming autonomous actors — interacting with data, systems, and humans without constant oversight — privacy is no longer about control. It's about trus...

The Edge of Agency: Defending Against the Risks of Agentic AI

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Unleashing Agentic AI for Superior Threat-Informed Risk Prioritization with Agent Nyra

The cybersecurity landscape evolves relentlessly, with new adversaries and threats emerging daily. For organizations navigating these challenges, reactive responses are no longer enough. It’s about moving from complex, disconnected data streams to proactive, autonomous solutions with actionable...

Agentic AI: How Autonomous Agents are Changing the Game

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Qualys has introduced Agentic AI, a solution for autonomous cyber risk management

Qualys hasintroducedAgentic AI, a solution for autonomous cyber risk management. As part of this solution, Qualys provides ready-to-use Cyber Risk Agents that operate autonomously and act as an additional skilled digital workforce. Agentic AI not only detects issues and provides analytics but als...

Unpacking Qualys Agentic AI: Technical Insights into Its Architecture and Capabilities

Agentic AI revolutionizes how enterprise organizations leverage artificial intelligence by introducing systems designed to function as autonomous agents capable of planning, decision-making, and executing complex workflows with minimal human oversight. Unlike traditional AI, which often performs...

Flowable’s Summer 2025 Update Introduces Groundbreaking Agentic AI Capabilities

Flowable’s 2025.1 update brings powerful Agentic AI features to automate workflows, boost efficiency, and scale intelligent business operations...

QSAF: a Novel Mitigation Framework for Cognitive Degradation in Agentic AI

We introduce Cognitive Degradation as a novel vulnerability class in agentic AI systems. Unlike traditional adversarial external threats such as prompt injection, these failures originate internally, arising from memory starvation, planner recursion, context flooding, and output suppression. Thes...

Prompt Injection 2.0: Hybrid AI Threats

Prompt injection attacks, where malicious input is designed to manipulate AI systems into ignoring their original instructions and following unauthorized commands instead, were first discovered by Preamble, Inc. in May 2022 and responsibly disclosed to OpenAI. Over the last three years, these...

From Semantic Web and MAS to Agentic AI: a Unified Narrative of the Web of Agents

The concept of the Web of Agents WoA, which transforms the static, document-centric Web into an environment of autonomous agents acting on users' behalf, has attracted growing interest as large language models LLMs become more capable. However, research in this area is still fragmented across...

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Protecting cyberspace requires not only advanced tools but also a shift in how we reason about threats, trust, and autonomy. Traditional cybersecurity methods rely on manual responses and brittle heuristics. To build proactive and intelligent defense systems, we need integrated theoretical...

ARPaCCino: an Agentic-RAG for Policy As Code Compliance

Policy as Code PaC is a paradigm that encodes security and compliance policies into machine-readable formats, enabling automated enforcement in Infrastructure as Code IaC environments. However, its adoption is hindered by the complexity of policy languages and the risk of misconfigurations. In th...

Inside the AI Threat Landscape: From Jailbreaks to Prompt Injections and Agentic AI Risks

AI has officially moved out of the novelty phase. What began with people messing around with LLM-powered GenAI tools for content creation has rapidly evolved into a complex web of agentic AI systems that form a critical part of the modern corporate landscape. However, this transformation has give...

Agentic AI Is Here — and It’s Shaping the Future of Bot Defense

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The Rise of Agentic AI: Uncovering Security Risks in AI Web Agents

In our first post, we introduced the world of AI web agents - defining what they are, outlining their core capabilities, and surveying the leading frameworks that make them possible. Now, we’re shifting gears to look at the other side of the coin: the vulnerabilities and attack surfaces that aris...

Business Case for Agentic AI SOC Analysts

Security operations centers SOCs are under pressure from both sides: threats are growing more complex and frequent, while security budgets are no longer keeping pace. Today's security leaders are expected to reduce risk and deliver results without relying on larger teams or increased spending. At...

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing

We propose Guardian-FC, a novel two-layer framework for privacy preserving federated computing that unifies safety enforcement across diverse privacy preserving mechanisms, including cryptographic back-ends like fully homomorphic encryption FHE and multiparty computation MPC, as well as statistic...

5 Things Security Leaders Need to Know About Agentic AI

From writing assistance to intelligent summarization, generative AI has already transformed the way businesses work. But we’re now entering a new phase where AI doesn’t just generate content, but takes independent action on our behalf. This next evolution is called ‘agentic AI’, and it’s moving...

SCGAgent: Recreating the Benefits of Reasoning Models for Secure Code Generation with Agentic Workflows

Large language models LLMs have seen widespread success in code generation tasks for different scenarios, both everyday and professional. However current LLMs, despite producing functional code, do not prioritize security and may generate code with exploitable vulnerabilities. In this work, we...

A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control

Traditional Identity and Access Management IAM systems, primarily designed for human users or static machine identities via protocols such as OAuth, OpenID Connect OIDC, and SAML, prove fundamentally inadequate for the dynamic, interdependent, and often ephemeral nature of AI agents operating at...