Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Top Enterprise AI Adoption Challenges

AI today has moved beyond experimentation. In the modern age, enterprises are embedding AI across various aspects of their businesses, including customer support, document processing, software development, healthcare, financial services, and decision-making workflows. According to a recent McKinsey report, 88% of businesses use AI in at least one business function. This reflects how AI is now becoming the center of several enterprise operations.

Top 16 AI Agent Security Solutions

AI agent security solutions fall into two categories. Some use AI agents to perform security work, such as red teaming, pentesting, SOC investigation, threat hunting, and risk analysis. Others protect AI agents, copilots, MCP servers, and agentic workflows from vulnerabilities such as over-permissioning, prompt injection, unsafe tool use, data exposure, and unauthorized actions.

Gen. AI used to mislead victims in fraud campaigns

It is almost impossible to trust the source of an image or video anymore. On The Cybersecurity Defenders Podcast, Tamas Kadar, CEO and Co-Founder of SEON, explains how generative AI has reshaped what fraudsters can pull off. Setting up sophisticated fraud operations no longer requires coding skills, and synthetic identities and deepfake documents have become convincing enough that visual verification alone is no longer reliable.

Autonomous AI Accelerates Cyberattacks and Shrinks Response Time

The biggest challenge in cybersecurity is no longer just detecting threats. It's doing so before time runs out. Artificial intelligence is no longer confined to automating isolated tasks within an attack. It is enabling threats to operate as continuous systems that can adapt, coordinate, and evolve in real time, drastically reducing the time security teams have to react. This shift is doing more than simply increasing the volume of offensive activity.

Optimize Microsoft Entra ID Conditional Access | Reach Security

Which of your users can reach a sensitive app without ever hitting MFA? Most security teams can't answer that with confidence. Microsoft Entra ID and Conditional Access is powerful. But exclusions stack up, MFA coverage drifts, and risk-based protections go unused. This creates openings for fast-moving AI-powered attackers. Reach continuously validates your controls against your security intent, closes the gaps, and proves the risk reduction.

Alex Stamos has 23 minutes to stop an AI chatbot leaking data (Live Tabletop Exercise)

What does a security leader actually do when an AI chatbot starts confidently revealing customer data that was never supposed to see the light of day? Alex has spent his career at the intersection of security and the hardest problems in tech—Chief Security Officer at Yahoo, Facebook, and SentinelOne, founder of the Stanford Internet Observatory, and now Chief Product Officer at Corridor, a startup focused on the security and safety of AI coding agents. If anyone knows what it looks like when AI ships faster than security can keep up, it’s him.

Ep. 65 - "Months, Not Years": The Five Eyes AI Warning and Your Security Program

On June 22, 2026, the heads of all six Five Eyes cyber agencies—GCHQ, CISA, the NSA, ASD, the Canadian Centre, and New Zealand's GCSB—signed a rare joint statement: AI has rewritten the cyber risk timeline, and it's months, not years. Host Tova Dvorin and offensive security expert Adrian Culley unpack why AI is collapsing the window between vulnerability and exploit, why "having controls" isn't the same as proven controls, and why legacy systems are now strategic liabilities for the board, not the IT team. A clear-eyed look at validation, assumed breach, and what CISOs should do Monday morning.

AI Just Shrank the Time Hackers Need to Weaponize Your Vulnerabilities

The Five Eyes intelligence alliance—NSA, CISA, GCHQ, Australia's ASD, Canada's Cyber Centre, and New Zealand's GCSB—just issued a joint warning: AI has compressed the window between vulnerability discovery and exploitation from years to months. Adrian breaks down what the "AI Shift in Cyber Risk" statement actually means for patching timelines and attacker sophistication—and why most organizations aren't moving fast enough to keep up.

Evaluating AI Security Posture Management Tools: 7 Key Criteria

Evaluating AI Security Posture Management (AI-SPM) tools is a critical process for organizations integrating AI, specifically Generative AI (GenAI) and Large Language Models (LLMs), into their workflows. Unlike traditional security tools, AI-SPM focuses on the unique risks of AI, including Shadow AI, prompt injection, data poisoning, model theft, and improper model configuration. When assessing AI-SPM tools, security leaders should prioritize the following capabilities.