Data Loss Prevention for AI Coding Agents
AI coding agents can send secrets, PII, and source code to external models. Learn how data loss prevention works for coding agents and where it fits.
Resources
AI security posture management, LLM security, generative AI risks, and AI-powered security tools.
33 resources — 3 blogs · 11 learn · 19 podcasts
AI coding agents can send secrets, PII, and source code to external models. Learn how data loss prevention works for coding agents and where it fits.
MCP servers give AI agents access to tools, files, and systems. This guide explains the security risks of MCP servers and how to reduce them.
A coding agent firewall sits between an AI coding agent and the systems it can act on. It blocks destructive actions, gates risky ones, and audits everything.
Prompt injection is an attack where untrusted content manipulates an AI model or agent into ignoring its instructions, leaking data, or calling tools it should not.
Shadow AI is the use of AI tools, coding agents, IDE extensions, and model connections inside an organization without security's knowledge or approval.
AI-powered code remediation with code-to-cloud correlation helps teams fix vulnerabilities in minutes, not weeks. Real workflows and metrics.
How security teams should adopt AI in operations, why the industry has shifted from a knowledge economy to a skills economy, and what next-gen practitioners need to get hired.
How to embed security into developer systems rather than bolting on tools, calibrate product security for engineering velocity, and secure agentic development workflows.
The complete 2026 guide to cloud asset management for security leaders. Learn about CAASM, identity-first governance, AISPM, and how to build continuous visibility across AWS, Azure, and GCP.
Agentic AI security protects AI systems that can plan, call tools, use credentials, modify code, deploy infrastructure, or act on behalf of humans.
LLM gateway security controls how applications, employees, and AI agents call large language models, including policy, logging, data protection, and abuse prevention.
Learn what MCP is, why AI agents use it, and how security teams can govern tool access, credentials, audit trails, and cloud actions safely.
Learn how ransomware has evolved to target AI systems, why model poisoning makes traditional recovery impossible, and how to build resilience against AI-powered attacks.
Learn how IAM is evolving in 2026 with JIT access, AI-driven SOC operations, autonomous agent security, and why compliance should never be treated as a checklist.
Niyati Daftary shares insights on AI security hype vs reality, strategic program management for CISOs, and a practical roadmap for aspiring security leaders.
Sneha Malshetti shares strategies for multi-cloud IAM, AWS vs GCP architecture differences, JIT access, and navigating AI risks in identity security.
Dinis Cruz explains how to secure ephemeral Kubernetes workloads, why identity is the new perimeter, and how GenAI transforms both attack surfaces and defense.
Learn how Database Activity Monitoring provides real-time visibility, detects insider threats, and creates an immutable audit trail for select compliances
Ashish Bhadouria of IKEA shares how to integrate security into SDLC through culture, champions programs, and defense in depth for AI apps.
AWS Security Specialist Shweta Thapa explains how to design security controls for GenAI apps, from input/output guardrails to shared responsibility.
Field CISO Patricia Titus explains how CISOs must evolve into multidisciplinary strategists who lead through AI, behavioral analytics, and trust.
AISPM monitors and secures AI systems by detecting data poisoning and adversarial attacks. Learn how it differs from CSPM and DSPM.
Discover how to use Generative AI for secure coding, threat modeling, and automated testing—while avoiding OWASP LLM Top 10 risks in your applications.
Stephen Kuenzli of k9 Security explains how to scale IAM with self-serve patterns, why literal least privilege fails, and how AI agents help.
Pablo Vidal shares how to build a world-class detection and response program using psychological safety, automation, and generative AI.
Explore how AI transforms IAM with adaptive authentication, automated JIT access, behavioral analytics, and intelligent threat detection for cloud environments.
Perry Carpenter explores how AI amplifies scams, why deepfakes are nearly undetectable, and how to strengthen the human layer through culture.
Brad Geesaman explores how agentic AI is transforming application security, from ReaperBot's autonomous testing to building trust in AI-driven workflows.
Jim Manico shares secure coding practices for the AI era, from verifying AI-generated code to implementing defense-in-depth with CSP and frameworks.
CISO Ross Young shares strategies for balancing security and innovation, managing burnout, vulnerability management, and the impact of generative AI.
Gretchen Ruck discusses how GenAI magnifies existing cyber risks, the gap in inherent risk frameworks, and strategies for communicating risk to boards.
Balancing Compliance, Driving Culture, and Automating Incident Response with GenAI
Josh Pyorre of Cisco Talos shares how threat hunting works, why creativity matters, and how GenAI is changing the attacker-defender dynamic.
Connect a cloud account in under 30 minutes. See every finding rooted in identity, asset, and blast radius — with a fix path attached.
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