AI risk review
Audits AI systems handling personal data for DPDPA transparency and purpose-limitation compliance.
AI risk and awareness advisory reviews how your organisation actually uses AI, tests your team's resilience against AI-generated phishing, and models threats before new AI systems go into production - the layer of human judgement that automated tools alone can't provide.
Your team is adopting AI tools faster than you're tracking what data those tools can access.
You've never run a phishing simulation, or your last one predates the rise of AI-generated phishing.
You're planning to deploy a new AI system and haven't modelled its specific attack surface.
DPDPA's transparency and purpose-limitation requirements apply to AI systems handling personal data, and you haven't reviewed this.
Audits AI systems handling personal data for DPDPA transparency and purpose-limitation compliance.
Realistic attack simulations that measure and improve employee resilience against modern threats.
Programmes covering DPDPA obligations, social engineering and incident response, tailored by role.
Architecture reviews that identify AI-specific attack surfaces before a system goes live.
Ongoing measurement of how your team's phishing resilience changes over time, not a one-off test.
Sits alongside the automated AI-SOC and AI-Pentest tools - the check that keeps them honest.
No - those are automated tools. This is the human advisory layer: training your people and reviewing your AI systems' risk posture.
We'll recommend a cadence based on your risk profile - typically more frequent than an annual check given how fast AI-generated phishing evolves.
Both - the AI risk review specifically covers internal AI tool usage and data handling, separate from the phishing/awareness training.
Yes - the AI risk review directly feeds your DPDPA and GRC evidence base rather than sitting separately.
Understand your actual AI exposure and team resilience before deciding what to prioritise.