Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We Had 13 Engineers Spend Three Months Finding Vulnerabilities with LLMs

Blame for all flaws belongs to the flawed human author. Historically, the bottleneck for finding security bugs in software was human bandwidth. As pointed out in this great post by Tom Ptacek, it appears that large language models are exceptionally good at finding them with simple prompting. This adds substantial bandwidth to the effort of finding bugs.

AI adoption and third-party risk implications: How to close the governance gap

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

Remediation Agents, Demystified: Why Fixing Beats Finding

Six new security issues for every one issue remediated. That's the ratio Snyk research has found, and it's why the AI Security Engineers Community gave an hour of livestream time to fixing rather than finding. Play Video: Remediation Agents Demystified: Your AI Teammate for Fixing Security Bugs Remediation Agents Demystified paired a fireside chat with a live demo.

Validity-Override API Tutorial: Confirm If a Leaked Secret Is Still Exploitable

GitGuardian's validity-override API lets security and engineering teams tell GitGuardian whether an exposed credential is actually valid, even when automatic checks mark it as Failed to Check. Secrets tied to internal services, private APIs, or systems GitGuardian cannot reach often fall into this category. GitGuardian automatically validates most supported credential types, but when it cannot, teams can now perform their own validation and feed the result back into the platform.

TITAN AI Demo Series: Driftnet Power-Filtering for Threat Hunters

Threat hunting often means following a lead without knowing where it will take you. Your search tools shouldn’t make you choose between exploring a hunch and losing your original results. Driftnet gives threat hunters multiple ways to refine artifact searches as they investigate. Use Add Filter to explore a narrower view without changing the underlying query, Add to Query to make that refinement persistent, or exclude artifacts to quickly zero in on what remains.

AI Risk Management: Defining, Measuring, & Mitigating the Risks of AI

AI is merging into the modern workplace at roughly the pace computers did in the 1980s, and the risks are evolving just as fast. IBM and Ponemon found that 97% of organizations hit by an AI-related security incident lacked basic access controls, and 63% had no AI governance policy at all. In this video, Yakir breaks down the seven categories of AI risk every GRC leader needs to understand, and what separates knowing you have a control gap from knowing what it will cost you.

2026 H1 Threat Review: AI, Ransomware & Emerging Cyber Threats

Cyber threats continue to evolve, and the first half of 2026 delivered no shortage of new challenges. Forescout Research – Vedere Labs' 2026 H1 Threat Review examines the latest trends in vulnerabilities, ransomware, threat actor activity, supply chain security, and AI-driven attacks. Discover the key findings, emerging attack patterns, and practical recommendations security teams can use to better understand and reduce risk.