Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How To Build An AI Risk Management Framework

Every AI approval a security team makes feels reasonable in isolation. A security architect signs off on a generative AI writing tool for marketing. An engineering lead spins up an agent to triage support tickets. A finance team connects a copilot to its planning software. Individually, none of these decisions looks risky.

Why Business Leaders Need a New Response Model to AI-Enabled Incidents

Originally published by Cybersecurity Insider. Over the past decade, cybersecurity threats have evolved from a technical issue into a key driver of business and operational risk. Artificial intelligence is accelerating that shift even further, changing the game once again. In 2026, AI in cybersecurity is multifaceted: a tool for defense and incident response, but also a powerful accelerator for attackers. AI-enabled incidents rarely stay contained within the security function.

Secure AI Written Code Before It Ships: Salt Code

AI coding assistants are transforming how enterprise software gets built. Developers at every level are prompting their way to production-ready APIs, MCP integrations, and agentic workflows faster than any security team can review them. The problem is that none of those assistants knows your internal security standards, regulatory obligations, or risk tolerance. The result is insecure patterns shipping unnoticed, vulnerabilities discovered downstream when fixes are costly, and compliance becoming a guessing game on every commit.

451 Research report: How agentic AI is redefining identity security

In the short time that AI agents have been a part of the enterprise, they have upended many of our bedrock assumptions about the nature of identity, access, development, and work itself. At 1Password, we’ve been in the trenches of the agentic revolution; we’ve seen its positive impact on productivity, and the serious concerns it raises about security.

The Rise of the 'Non-Human Insider': When AI Agents Become the Threat

For years, cybersecurity has had a familiar villain: the external attacker. The hacker breaking through the firewall, stealing credentials or exploiting an unpatched vulnerability. It is the scenario we have trained for, built defenses around and spent decades trying to prevent. But the next major breach may not begin with someone breaking into your environment at all, it may begin with an AI agent that already has access.

Report: One-Quarter of Breaches Are Enabled by AI-Driven Attacks

A new report commissioned by IBM has found that one in four breaches is now AI-enabled, up 56% from last year. “Most AI-driven attacks reported in the study targeted critical infrastructure sectors (62%), with financial services and energy organizations experiencing the highest concentration, raising the risk of broader systemic disruption,” the report says. “Financial services breaches were reported to cost on average $6.3 million, while energy breaches cost on average $5.2 million.

Give your agents capabilities

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.

Agentic First Security -- Customer Brown Bag - August 20th, 2026

Join Jeremy Powell, CISO of Sumo Logic, to learn how AI-powered agents are reshaping modern security operations. Discover the key principles, governance, and best practices for building an agentic security program that enhances analyst productivity, accelerates threat response, and strengthens organizational resilience.

From signals to systemic risk: Building Risk AI

Security and engineering teams contend with a constant stream of signals about vulnerabilities, incidents, misconfigurations, identity risks, control gaps, and other findings across their environments. But an individual finding’s severity does not always reflect its potential organizational impact.