At Harbinger, we strengthen the security and compliance posture of modern software teams by embedding Agentic AI for Security directly into the software development lifecycle (SDLC).
Rather than relying on manual audits or post-deployment fixes, our AI-first approach transforms security into a proactive, continuous discipline. Autonomous AI agents are integrated into your code repositories, DevSecOps pipelines, and audit frameworks—monitoring, detecting, and remediating risks in real-time.
From spotting logic flaws in early-stage code to simulating real-world attacks and automating GDPR/HIPAA checks, Harbinger enables organizations to build more secure, compliant, and resilient applications—faster than ever.
This episode shares real-world examples and strategic insights into how Agentic AI for Security is driving continuous improvement, compliance, and trust across enterprise SDLCs.
Watch Shrikant Pattathil, Chief Technology Officer at Harbinger Group, as he chats with Umesh Kanade, Vice President – Capability Development, in a compelling conversation on Agentic AI’s impact on security and compliance. From real-time code monitoring to AI-led adversarial simulations and continuous compliance automation, this episode showcases how organizations can embed security into every stage of the SDLC.
1. Can agentic AI proactively identify and remediate vulnerabilities during the development cycle?
Yes. Agentic AI acts like a vigilant co-engineer. It continuously monitors code repositories, tracks changes in real time, and detects risky patterns early during code commit. In secure DevOps pipelines, it integrates with systems such as GitHub Copilot to apply security rules and, in some setups, even implement low-risk patches automatically. This reduces average remediation time by up to 60%.
2. AI is often used to launch attacks, but can Agentic AI anticipate such threats to improve application security?
Agentic AI can simulate adversarial scenarios by probing applications by looking for logic flaws, buffer overflows, and prompt injection attacks. It mimics real-world attack vectors to uncover blind spots before deployment. Tools such as Microsoft Counterfit Framework and Meta Red Teaming are already doing this. These agents help identify issues that might otherwise go unnoticed, enabling companies to address vulnerabilities preemptively.
3. Can you share real-world examples of how Agentic AI automates compliance checks and ensures regulatory security?
Agentic AI plays a significant role in compliance automation across industries such as HR, healthcare, and finance. Harbinger enabled a client to use agentic AI to review code against GDPR requirements, flagging consent-related violations with contextual explanations. For a healthcare client, the agent scanned HIPAA compliance gaps and generated audit-ready reports. These agents shift compliance from a one-time audit to a continuous, embedded function, dramatically reducing audit preparation time.
Secure your SDLC with Agentic AI for Security